From db390c8b9a1c295ead23a3f727014347938e823f Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 2 Feb 2023 15:07:46 -0700
Subject: [PATCH 01/42] Rebase 1

---
 .../python-package-tools-2022-survey-pypa.png | Bin 0 -> 18655 bytes
 index.md                                      |  25 ++
 package-structure-code/intro.md               |  59 ++++
 .../python-package-build-tools.md             | 310 ++++++++++++++++++
 .../python-package-structure.md               | 303 +++++++++++++++++
 5 files changed, 697 insertions(+)
 create mode 100644 images/python-package-tools-2022-survey-pypa.png
 create mode 100644 package-structure-code/intro.md
 create mode 100644 package-structure-code/python-package-build-tools.md
 create mode 100644 package-structure-code/python-package-structure.md

diff --git a/images/python-package-tools-2022-survey-pypa.png b/images/python-package-tools-2022-survey-pypa.png
new file mode 100644
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HcmV?d00001

diff --git a/index.md b/index.md
index 654054b4..a392cc35 100644
--- a/index.md
+++ b/index.md
@@ -120,6 +120,31 @@ This guide is now a work in progress. If you have ideas of things you'd like
 to see here, [we invite you to open an issue on GitHub that details any changes or additions that you'd like to see.](https://github.com/pyOpenSci/python-package-guide/issues).
 
 
+```{toctree}
+:hidden:
+:caption: Documentation
+
+Documentation Overview <documentation/index>
+
+```
+
+
+```{toctree}
+:hidden:
+:caption: Package structure & code style
+
+Intro <python-packaging/intro>
+Intro <package-structure-code/intro>
+
+Python package structure <package-structure-code/python-package-structure>
+Package Build Tools <package-structure-code/python-package-build-tools>
+Package Versions <package-structure-code/python-package-versions>
+package-structure-code/overview
+package-structure-code/collaboration
+Code Style & Format <package-structure-code/code-structure-style>
+```
+
+
 
 
 <!--
diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
new file mode 100644
index 00000000..b8c7523b
--- /dev/null
+++ b/package-structure-code/intro.md
@@ -0,0 +1,59 @@
+# Python package structure information
+
+If you plan to submit a package for review to pyOpenSci and are looking for
+some guidance on package structure, code formats and style, then this section is for you.
+
+## Guidelines for pyOpenSci's packaging recommendations
+
+<!-- Might belong on the LANDING page for this entire guide?-->
+
+There are some differing opinions on what Python package structure should
+look like and what tools to use across the Python ecosystem.
+
+In this guide, we have made decisions around suggested standards and required
+standards, based upon the commonly used approaches in the scientific Python
+community.  Our goal is to help standardize packaging across this ecosystem.
+
+In some cases the suggestions here may diverge from those in the non-scientific parts of the Python ecosystem.
+
+```{note}
+The suggestions for package layout in this section are made with the
+intent of being helpful; they are not specific requirements for your
+package to be reviewed and accepted into our ecosystem.
+```
+
+In all cases, we try to align our suggestions with the most current, accepted
+[PEP's (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community specs](https://scientific-python.org/specs/).
+
+```{note}
+Have a look at the
+bare-minimum [editor checks](https://www.pyopensci.org/peer-review-guide/software-peer-review-guide/editor-in-chief-guide.html#editor-checklist-template) that pyOpenSci
+performs before a review begins. These checks are useful to explore
+for both authors planning to submit a package to us for review and for
+anyone who is just getting started with creating a Python package.
+
+In general these are basic items that should be in any open software repository.
+```
+
+
+<!--
+
+These checks include several items
+
+- **Sufficient Documentation** The package has sufficient documentation available online (README, sphinx docs) to allow us to evaluate package function and scope *without installing the package*. This includes:
+  Get started tutorials or vignettes that help a user understand how to use the package and what it can do for them (often these have a name like "Getting started")
+- **API documentation** - this includes clearly written doc strings with variables defined using a standard docstring format -->
+<!--
+```{tip}
+### Python packaging resources that we love
+
+We think the resources below are excellent but each have particular opinions
+that you may or may not find in our packaging guide. For instance, the PyPA
+guide encourages users to store their package in a `src/package-name` directory.
+While we accept that approach many of our community members prefer to not use
+the `src` directory.
+
+* [Python packaging for research software engineers](https://merely-useful.tech/py-rse/)
+* [PyPA packaging guide](https://packaging.python.org/en/latest/)
+```
+-->
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
new file mode 100644
index 00000000..8a655d60
--- /dev/null
+++ b/package-structure-code/python-package-build-tools.md
@@ -0,0 +1,310 @@
+# Python Package Build Tools
+
+Below, we discuss some of the tools that are commonly used
+to build Python packages. This page is intended to help
+maintainers select a build tool to use.
+
+
+<!--
+Where i'm leaving off here
+
+* setuptools is the OG clearly a lot of ppl use it. but the code base seems
+really messy and it's built on top of disutils that may be sunsetted i python 3.12 ?? so does it make sense for us all to use it or should we consider
+an example using hatch which seems really nice. extensible and has vcs built
+in as far as i can tell
+
+
+Below talk about each tool and the potential drawbacks.
+post on slack about setuptools (next week) and also maybe discord.
+
+I think this page should be it's own separate PR as i really want eyes on it.
+So more eyes == better.
+I can then have another Pr that has package structure...
+
+setuptools vs hatch
+
+-->
+
+## Python package distribution files
+
+Before we dive into specific build tools, it's important
+to review the pieces of a "built" Python package.
+
+### Build
+To understand the two distributions below, it is important to understand two different types of files:
+
+**Source files:** source files are the unbuilt files needed to build your package. An example of a build step would be compiling uncompiled code.
+**Binary files:** binary files are the files needed to install your package. These files are pre-build. As such any code that need to be compiled has been compiled / built in a binary distribution.
+
+There are two types of distribution files that you will create to support
+publishing your Python package (on PyPI):
+
+1. SDIST and
+1. Wheel
+
+<!--
+* **SDist (Source Distribution):** This file, packaged as a **.tar.gz** tarball represents all of the unbuilt source files needed to build your package into an installable bundle. But the files within the package are not yet "built" if your package requires a  build step. Pure python packages most often do not require a build step.
+* **Wheel:** A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps. -->
+
+```{note}
+If your package is a pure python package with no additional
+build / compilation steps then the SDIST and Wheel files will have the same content.
+```
+<!-- TODO: add an example of the contents from SDIST vs .whl -->
+
+
+### What is a SDist file?
+
+SDist, short for **S**ource **D**istribution file is a packaged file in `.tar.gz`
+format (often called a "tarball") that has all of the files needed to build your
+package. In the SDist format, your package's files are not included in a built
+format. Thus, anyone using this file, will have to build the files first before
+they can be installed.
+
+```{tip}
+When you make a release on GitHub, it creates a SDist file (`.tar.gz`) that
+anyone can download and use.
+```
+
+<!--
+* one of the benefits of wheel is pretty much avoiding setup.py which
+has code mixed in. makes you more vulnerable to a code injection on install.
+
+assuming this means if the package is already pre-built than setup.py isn't running anything on install because install is just moving files across to the machine to be run.
+
+And having metadata separate allows someone to view the metadata without
+running any python code as it's a machine and human readable format.
+
+https://scikit-hep.org/developer/pep621
+-->
+
+### Wheel (.whl files):
+
+A wheel or `.whl` file, is a zipped file that has
+the extension `.whl`. The wheel does not contain any of your packages
+configuration files such as **setup.cfg** or **pyproject.toml**. This distribution
+is a pre-build, ready-to-install format.
+
+Because it is prebuilt, the wheel file will be faster to install for pure Python
+projects and can lead to consistent installs across machines.
+
+```{tip}
+Wheels are also useful in the case that a package
+needs a **setup.py** file to support a more complex built.
+In this case, because the files in the wheel bundle
+are pre built, the user installing doesn't have to
+work about malicious code injections when it is installed.
+```
+
+[Read more about the wheel format here](https://pythonwheels.com/)
+
+## Tools to build python packages
+
+There are a suite of build tools that you can use to create your Python package's **SDist** and *Wheel* distributions.
+To better understand your options, it's important to first understand the difference between a
+build tool front-end and build backend.
+
+## Build front-end vs. build backend tools for Python packaging
+
+### Build back-ends
+Every tool has a back-end
+build tool that actually builds the package and creates associated (SDist and wheel) distribution
+files. Some of the tools below such as Flit and pdm only
+support straight forward builds that do not have a compilation or other additional build step. These
+types of tools are ideal if you have a pure python
+project.
+
+Other tools such as Hatch/ hatchling and setuptools
+support more complex builds with custom steps.
+
+### Build front-ends
+Each tool discussed below has a front-end interface that you can use to
+perform different types of Python packaging tasks.
+For instance,
+you can use **Flit** to both build your package and
+to publish your package
+to PyPI (or test PyPI).
+
+Using a tool like **Flit** makes your workflow commands consistent and simple. For example, rather than using `twine` to publish your package to PyPi, you use `flit publish` (see below).
+
+Example to build your package with Flit:
+
+`flit build`
+
+Example to publish to PyPI:
+`flit publish --repository testpypi`
+
+In the Pytyhon package build space **setuptools** is
+the "OG" -the original tool that everyone used to use.
+With a tool like  `setuptools` you have the flexibility
+to publish python pure python packages and packages with custom build steps. However, you will also need to use other tools. For example, you will use `twine` to publish to PyPI.
+
+## An ecosystem of Python build tools
+
+Below we introduce several of the most commonly used
+Python packaging build  tools. Each tool has various
+features that might make you chose to use it
+or not use it. There is no right or wrong tool to use
+as far as pyOpenSci is concerned. We are just trying to
+help you find the tool that works best for
+your workflow.
+
+
+:::{figure-md} fig-target
+
+<img src="../images/python-package-tools-2022-survey-pypa.png" alt="Graph showing the results of the 2022 PyPA survey of Python packaging tools. On the x axis is percent response and on the y axis are the tools." width="700px">
+
+The Python developers survey results (n=>8,000 PyPI users) show setuptools and poetry as the most commonly used Python packaging tools. The core tools that we've seen being used in the scientific community are included here. [You can view the full survey results by clicking here.](https://drive.google.com/file/d/1U5d5SiXLVkzDpS0i1dJIA4Hu5Qg704T9/view)
+:::
+
+The tools that we review below are those that were the most commonly used in the above survey. They include:
+
+* setuptools
+* flit
+* hatch
+* pdm
+
+
+```{note}
+Note that we are intentionally not including Poetry in this list because
+
+1. Poetry pins dependencies using `^`. This `^` symbol means that there is an "upper bound" to the dependency. Thus poetry will bump a dependency version to a new major version.  Thus if your package using a dependency that is at version 1.2.3, poetry will never bump the dependency to 2.0 even if there is a new major version of the package. It will bump up to 1.9.x. . [This approach has been found to be problematic by many of our core scientific packages.](https://iscinumpy.dev/post/bound-version-constraints/)
+## 1. TODO:  look at how it creates a pyproject toml file too...
+
+As such, we don't suggest that use of poetry for your
+development workflow even though it is an excellent and
+well documented tool. It's dependency management
+decisions have caused breaking changes in several large
+Python packages.
+```
+
+## How to chose a build development tool
+
+When deciding what tools you wish to use, there are a few basic criteria that
+you can use to help guide your decision:
+
+### Build tools for pure Python packages
+If your package is a pure Python package and it doesn't have any additional build steps (such as compiling code, etc) you can use any of the tools discussed on
+this page including:
+
+* Flit
+* Hatch
+* setuptools
+* pdm
+
+ ### Build tools for Python packages with complex build steps
+If your package is not pure python, or it has complex build steps (or build
+steps that you need to customize), then you should consider using:
+
+* Setuptools
+* Hatch
+
+Both of these tools allow you to customize your workflow with build steps needed
+to compile code.
+
+**Setuptools** is the "OG" tool that has been used for Python packaging for many years.
+**Hatch** is the newer, more modern tool that supports customization of any part of your packaging steps.
+
+## Tools that also support version bumping
+Of the tools listed on this page, two of them support
+direct package versioning:
+
+* setuptools has setuptools_scm
+* hatch has hatch_vcs
+
+Each tool listed above allows you to setup a release
+workflow using your version control platform of choice
+(we are using GitHub as an example here given it is
+currently the most popular platform).
+
+## Python packaging tools summary
+A summary of what each of the tools offers can be found in the table below:
+| Feature                                                                | Setuptools            | Flit      | Hatch     | PDM |
+| ---------------------------------------------------------------------- | --------------------- | --------- | --------- | --- |
+| Build backend                                                          | setuptools.build_meta | flit_core | hatchling |  pdm-pep517   |
+| Supports projects that aren't pure python                              | yes                   | no        | yes       | no  |
+| Supports custom build steps (before creating wheel)                    | yes                   | no        | yes       | no  |
+| Has built in dependency management                                     | no                    | no        | no (future feature)       | yes |
+| Can be used to publish directly to pypi                                | no (use twine)        | yes       | yes       | yes |
+| Has version control based (eg git based) tooling to bump version       | setuptools_scm        | no        | hatch-vcs | ?   |
+| Supports automated GitHub only releases (no local command line needed) | yes                   | no        | yes       |     |
+(GitHu
+## Setuptools
+
+build-backend: setuptools.build_meta
+build_frontend: setuptools
+build_versioning: setuptools_scm
+
+[Setuptools](https://setuptools.pypa.io/en/latest/) is one of the most mature Python packaging tools with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#). Given this history, it is said to be the most heavily used Python packaging tool.
+
+### Potential benefits of setuptools
+Some of the benefits include:
+* Fully customizable build workflow
+* Examples from many packages already using
+* Built in versioning using **setuptools_scm**
+* Supports modern packaging using **pyproject.toml** for metadata
+
+### Potential drawbacks of setuptools
+
+Setuptools has a few drawbacks:
+
+* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
+not as flexible in its adoption of modern Python packaging
+standards. This backwards compatibility also makes for a more complex code-base.
+* To push to PyPI you will need to use another tool, **twine**.
+* TODO: Pradyun - bad defaults??
+
+## Flit
+
+* Build Backend: **flit_core.buildapi**
+* Versioning: No, Flit uses the  version from your package's ` __version__`. To update this you'd want to use another tool such as: bump2version <!!not really maintained now>
+* [Why use flit?](https://flit.pypa.io/en/stable/rationale.html)
+
+[Flit is a modern, no-nonsense, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
+
+If you have a pure Python project and don't need any
+additional build steps for your package, Flit could be
+a tool for you.
+
+**Flit** supports **proproject.toml** files for metadata and dependency management.
+
+**Flit** also has a front end command line that will help
+you publish your package to both testPyPI and PyPI.
+
+<!--
+many thanks to the resources here: https://henryiii.github.io/level-up-your-python/notebooks/2.7%20Creating%20Packages.html#  -->
+
+## Hatch
+
+* Build Backend: **hatchling**
+* Version control based versioning: Yes -  **hatch-vcs**
+* Push to PyPI:
+
+[**Hatch**](https://hatch.pypa.io/latest/) can be compared to **Flit** in that it simplifies your
+package's build workflow using consistent commands. However, it adds:
+
+* A fully customizable build back-end
+* Full flexibility for each step of the build process.
+* Matrix environment creation to support testing across Python versions
+* [Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)
+where you can create workflows in the pyproject.toml configuration to do things
+like serve docs locally and cleaning your package build directory.
+
+Hatch does about everything that you might need to support
+package development. It is ideal for packages that have compiled code and thus
+require custom build steps.
+
+While hatch does have some "opinions" about how parts
+of the packaging build run, you can customize any aspect
+of it's build making if fully flexible.
+
+## PDM
+
+[PDM is a Python packaging and dependency management tool.](https://pdm.fming.dev/latest/).
+It is designed to support pure python projects.
+
+Benefits of using PDM:
+
+* Dependency management
+
+HELP! Can someone help me understand why you'd pick pdm please? my guess if is you want dependency management
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
new file mode 100644
index 00000000..0ed62004
--- /dev/null
+++ b/package-structure-code/python-package-structure.md
@@ -0,0 +1,303 @@
+# Python Package Structure for Scientific Python Projects
+There are two different general layouts that you will commonly see
+within the Python packaging ecosystem:
+[src and flat layouts (click here to learn more).](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
+We believe that both layouts have advantages.
+The Python packaging authority advocates for the [**src/** layout](https://py-pkgs.org/04-package-structure),
+in their tutorials.
+
+```{important}
+pyOpenSci however will never require a specific package structure for its
+peer review process. The overview on this page presents recommendations.
+```
+
+Below you will learn about the pros and cons of both layouts.
+
+Currently most scientific packages use the **flat-layout** given:
+
+* It's the most commonly found layout with the scientific Python ecosystem
+* Many Python tools depend upon tools in other language and / or complex builds with compilation steps. Many developers thus appreciate features of the flat layout such as tests being included with the package when they are installed) to support troubleshooting across installations.
+
+ In the end, the advantages of using the **src/** layout for scientific packages
+ that already use this approach do not
+ outweigh the maintenance cost that a large cultural change in
+ package structure would bring to existing maintainers the scientific
+ Python ecosystem.
+
+
+```{tip}
+
+## Core scientific Python packages that use the flat layout
+
+* [numpy](https://github.com/numpy/numpy)
+* [scipy](https://github.com/scipy/scipy)
+* [pandas](https://github.com/pandas-dev/pandas)
+* [xarray](https://github.com/pydata/xarray)
+* [Jupyter-core](https://github.com/jupyter/jupyter_core)
+* [Jupyter notebook](https://github.com/jupyter/notebook)
+* [scikit-learn](https://github.com/scikit-learn/scikit-learn)
+
+It would be a significant maintenance cost and burden to move all of these
+packages to a different layout. The potential benefits of the source layout
+for these tools is not worth the maintenance investment. To avoid dividing the scientific Python community,
+pyOpenSci supports maintainers using a flat layout for scientific packages.
+```
+
+## What does the flat layout structure look like?
+
+The flat layout's primary characteristics are:
+
+* The source code for your package lives in a directory with your package's name in the root of your directory
+* Often the `tests/` directory also lives within that same `package-name` directory.
+
+Below you can see the recommended structure of a scientific Python package
+using the flat layout.
+
+```bash
+myPackage/
+├── CHANGELOG.md             ┐
+├── CODE_OF_CONDUCT.md       │
+├── CONTRIBUTING.md          │
+├── docs/                    │ Package documentation
+│   └── ...                  │
+├── LICENSE                  │
+├── README.md                ┘
+├── pyproject.toml           ] Package metadata and build configuration
+|   myPackage/               ┐
+│     ├── __init__.py        │ Package source code
+│     ├── moduleA.py         │
+│     └── moduleB.py         ┘
+      tests/                 ┐
+        └── test-file1.py    | Package tests
+        └── ....             ┘
+```
+
+
+```{note}
+If you look at
+[the `matplotlib` repository on GitHub](https://github.com/matplotlib/matplotlib),
+you will notice it too has a src/ directory, however
+that structure is there because `matplotlib` has uncompiled source code in that
+directory. it is not adhering to the **src/** layout explicitly.
+```
+
+### Benefits of using the flat layout in your Python package
+
+There are some benefits to the scientific community in using the flat layout.
+
+* This structure has historically been used across the ecosystem and packages
+using it are unlikely to change. Thus, you'd be following a convention that many
+packages use already.
+* This structure is simpler to setup to support packaging compared to the `src/`
+approach given the package source code is in the root directory. This means that
+your package will be "found" by build back-ends automagically.
+* You can directly install the package directly from the root directory.
+* Tests are shipped with your package. This allows developers to invoke tests on
+various machines to troubleshoot installations if needed. (This could easily
+be implemented using a `src/` layout too!)
+
+### The `src/` layout for Python packages
+
+The `src/` layout is another option to structure you Python package. This layout
+is advocated for by the [PyPA](https://packaging.python.org/en/latest/tutorials/packaging-projects/)
+The key characteristic of this layout is that your package
+uses a `src/package-name` directory structure. Tests are
+often located in a directory outside of the package (but they don't have to be).
+
+#### Pros of the src/ layout
+
+The benefits of the `src/` layout approach include:
+
+* It ensures that tests are always running on the installed version of your
+package rather than on the flat files
+* If `tests/` are outside of the `src/` directory, they aren't delivered to the user
+installing your package. This makes the package size slightly smaller.
+* This layout is semantically more clear. Code is always found in the
+`src/package-name` directory, `tests/` are in the root and with docs/
+
+#### Cons of the src/ layout
+* Can be slightly trickier to configure. examples:
+   * Tools like build won't automatically find the package directory if it's
+   within `src/package-name` without being configured.
+* Setting up continuous integration is more complex as you will have to account
+for the `src/` directory when installing the package
+* While this layout is common in the broader Python ecosystem, it does not
+necessarily support the needs of the scientific Python ecosystem which often has
+tools that wrap around other compiled languages such as C++. Often times code
+that needs to be compiled is stored in `src/`.
+
+An example of the `src/` layout structure can be seen below:
+
+```
+myPackage
+├── CHANGELOG.md               ┐
+├── CODE_OF_CONDUCT.md         │
+├── CONTRIBUTING.md            │
+├── docs                       │ Package documentation
+│   └── index.md
+│   └── ...                    │
+├── LICENSE                    │
+├── README.md                  ┘
+├── pyproject.toml             ┐
+├── src                        │
+│   └── myPackage               │ Package source code, metadata,
+│       ├── __init__.py        │ and build instructions
+│       ├── moduleA.py         │
+│       └── moduleB.py         ┘
+└── tests                      ┐
+   └── ...                     ┘ Package tests
+```
+
+
+
+<!-- Not sure why i added this here? -->
+To install your package in editable mode use:
+
+```bash
+$ cd package-name
+$ pip install -e .`
+```
+
+## Core file requirements for a Python package
+
+In the above example, notice that all of the core documentation files that
+pyOpenSci requires live in the root of your project directory. These files
+include:
+
+<!-- TODO: add link when documentation section is merged -->
+* CHANGELOG.md
+* CODE_OF_CONDUCT.md
+* CONTRIBUTING.md
+* LICENSE.txt
+* README.md
+
+Also note that there is a **docs/** directory at the root where your user-facing
+documentation website content lives.
+
+```{button-link} https://www.pyopensci.org/python-package guide/documentation
+:color: primary
+:class: sd-rounded-pill float-left
+Click here to read about our packaging documentation requirements. <<This LINK won't work until OPEN doc PR IS MERGED>>
+```
+
+Finally, notice that the **tests/** directory containing your test suite is
+located within the **packageName/** directory.
+
+<!-- This tutorial obviously doesn't exist yet... but we need to somehow
+specify this because it's i think the main concern behind tests shipping with
+code - PyPI maintenance burden grows quickly -->
+
+```{important}
+If your package tests require data, we suggest that you NOT include that
+data within your package structure. We will discuss this in more detail in a
+tutorial.
+```
+
+<!--
+```{note}
+### Src vs. flat layouts for Python packaging
+While you will see other structures, [such as the `src/`
+layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) recommended by the [Python packaging authority](https://py-pkgs.org/04-package-structure) and others, all scientific
+Python packages have used a flat layout. This structure has been
+prevalent for almost a decade.
+
+Because a core goal shared by both pyOpenSci and the Scientific Python
+project, is to see increased standardization in Python packaging, we
+are advocating for a structure that is used by existing packages in the
+ecosystem.
+
+Many of our core scientific Python packages wrap around other compiled languages, such as C++. They thus have source code that requires compilation. It would be challenging and potentially time-consuming for all of those packages to modify their current
+structure. And further it would not provide them with any core benefit.
+
+
+```
+-->
+
+## Use a pyproject.toml file for your package configuration & metadata
+
+We strongly recommend that you [include all project based metadata and build system specifications in a `pyproject.toml` file.](https://pip.pypa.io/en/stable/reference/build-system/pyproject-toml/) [Using setup.py to manage both package setup and hold metadata can present numerous risks.](https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html)
+
+
+```{note}
+Moving away from the **setup.py** file provides two benefits:
+
+1. Because setup.py has a mixture of code and metadata, it opens the user to a potential bad code injection on their computer when the package is installed.
+1. Including your package's metadata in a separate human-readable `pyproject.toml` format also allows someone to view the project's metadata without
+running any Python code.
+```
+
+The [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/), is an easy-to-read structure that is founded on key: value pairs.
+
+Each section in the file contains a `[table identifier]`.
+Below that table identifier are key value pairs that
+support configuration for that particular table.
+
+```{note}
+[PEP518 describes the move away from setup.py to the pyproject.toml file.](https://peps.python.org/pep-0518/)
+Python package standards are moving away from
+including both package metadata and python code needed to setup a package installation in the same **setup.py** file. Instead we are moving towards using
+a **proproject.toml** file sometimes combined with a **setup.cfg** file.
+
+In some cases
+where a build is particularly complex, a **setup.py** file may still be required.
+```
+
+## Example pyproject.toml
+
+Below is an example build configuration for a Python project. This setup
+requires:
+
+* **setuptools** to create the package structure,
+* **wheel** which is used by `setuptools` to create the [**.whl** (wheel) file](https://realpython.com/python-wheels/).
+* **setuptools build** to "build" the package
+* **setuptools_scm** to manage package version updates
+
+In the example below `[build-system]` is the first table
+of values. It has two keys that specify the build front end and backend for a package:
+
+1. `requires =`
+1. `build-backend =`
+
+```
+[build-system]
+requires = ["setuptools>=45", "wheel", "setuptools_scm[toml]>=6.2"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "examplePy"
+authors = [
+    {name = "Some Maintainer", email = "some-email@pyopensci.org"}
+]
+maintainers = [{name = "All the contributors"}]
+license = {text = "BSD 3-Clause"}
+description = "An example Python package used to support Python packaging tutorials"
+keywords = ["pyOpenSci", "python packaging"]
+readme = "README.md"
+
+dependencies = [
+    "dependency-package-name-1",
+    "dependency-package-name-2",
+]
+```
+
+
+Notice that you also can specify dependencies in this file.
+
+
+<!-- TODO: add link to section on build tools when it exists and
+turn this into button:
+
+We discuss build tools for python package more here.
+-->
+
+<!-- TODO: where does this tip belong? -->
+```{tip}
+PEPs stand for Python Enhancement Protocols. They provide guidelines for standardizing
+Python code and packaging.
+```
+
+
+<!-- TODO:
+1. add some links to packages that are using a purely toml config
+1. link to our example package once it's further along
+-->

From 47ca25a42f9de5d46ebe06fefeb61c9a996808df Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 2 Feb 2023 15:08:47 -0700
Subject: [PATCH 02/42] Fix: edits to package guide from review
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Fix: merge conflict fix

Fix: edits to package guide from review

rebase 7

Fix: remove chunk of commented text

Fix: edits to package guide

Fix: edits to package guide

Continued edits to pages

Update package-structure-code/python-package-build-tools.md

Co-authored-by: Randy Döring <30527984+radoering@users.noreply.github.com>
---
 conf.py                                       |   2 +-
 index.md                                      |  33 +-
 .../complex-python-package-builds.md          |  77 ++
 package-structure-code/intro.md               |  52 +-
 .../python-package-build-tools.md             | 699 +++++++++++++-----
 ...-package-distribution-files-sdist-wheel.md | 177 +++++
 .../python-package-structure.md               |  39 +-
 7 files changed, 827 insertions(+), 252 deletions(-)
 create mode 100644 package-structure-code/complex-python-package-builds.md
 create mode 100644 package-structure-code/python-package-distribution-files-sdist-wheel.md

diff --git a/conf.py b/conf.py
index 921251bb..397e57aa 100644
--- a/conf.py
+++ b/conf.py
@@ -128,7 +128,7 @@
 html_theme = 'pydata_sphinx_theme'
 html_static_path = ["_static"]
 html_css_files = ["pyos.css"]
-html_title = "pyOpenSci Package Guide"
+html_title = "pyOpenSci Python Packaging Guide"
 html_logo = "images/logo/logo.png"
 
 # Add any paths that contain custom static files (such as style sheets) here,
diff --git a/index.md b/index.md
index a392cc35..87a3d4df 100644
--- a/index.md
+++ b/index.md
@@ -1,18 +1,20 @@
 # pyOpenSci Python Open Source Package Development Guide
 
 
+
 ```{toctree}
 :hidden:
 :caption: Documentation
 
-Documentation <documentation/index>
-```
+Documentation Overview <documentation/index>
 
+```
 ```{toctree}
 :hidden:
 :caption: Packaging
 
-Packaging  <python-packaging/intro>
+Packaging <package-structure-code/intro>
+
 ```
 
 ```{toctree}
@@ -120,31 +122,6 @@ This guide is now a work in progress. If you have ideas of things you'd like
 to see here, [we invite you to open an issue on GitHub that details any changes or additions that you'd like to see.](https://github.com/pyOpenSci/python-package-guide/issues).
 
 
-```{toctree}
-:hidden:
-:caption: Documentation
-
-Documentation Overview <documentation/index>
-
-```
-
-
-```{toctree}
-:hidden:
-:caption: Package structure & code style
-
-Intro <python-packaging/intro>
-Intro <package-structure-code/intro>
-
-Python package structure <package-structure-code/python-package-structure>
-Package Build Tools <package-structure-code/python-package-build-tools>
-Package Versions <package-structure-code/python-package-versions>
-package-structure-code/overview
-package-structure-code/collaboration
-Code Style & Format <package-structure-code/code-structure-style>
-```
-
-
 
 
 <!--
diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
new file mode 100644
index 00000000..04e71af6
--- /dev/null
+++ b/package-structure-code/complex-python-package-builds.md
@@ -0,0 +1,77 @@
+# Complex Python package builds
+
+
+* link to ralf's blog and book on complex builds
+* keep this page high level so we don't get weight downsides
+* can use the examplePy repo stefan and I are working on that will test various build combinations
+
+
+
+
+* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
+* poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook. so while some have used it with other back end builds it's not ideal for this application
+* pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
+* hatch both offers a plugin type approach to support custom build steps
+PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
+
+
+
+**Setuptools** is the oldest tool in the above list. While it doesn't have a
+friendly user front end, because "OG" tool that has been used for Python packaging for over a decade, we discuss it here.
+
+**Hatch** and PDM are newer, more modern tool that support customization of any
+part of your packaging steps. These tools also support some C and C++
+extensions.
+
+
+
+<!-- TODO: add - compatible with other build back ends eg pdm can work with hatchling
+
+Eli:
+poetry: supports it, but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
+pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
+hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
+
+-->
+
+
+
+<!-- from eli about pdm
+It would be more accurate to say that PDM supports using PDM and setuptools at the same time, so you run setuptools to produce the C extensions and then PDM receives the compiled extension files (.so, .pyd) and packages it up alongside the pure Python files.
+
+Comment about hatch.
+https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1081108118
+
+From ralf: There are no silver bullets here yet, no workflow tool is complete. Both Hatch and PDM are single-author tools, which is another concern. @eli-schwartz's assessment is unfortunately correct here I believe (at a high level at least, not sure about details). Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build backend hooks in pyproject.toml, it's pretty much a dead end.
+
+-->
+
+<!--TODO Add examples of builds using each of the tools below?
+
+pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
+poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook.
+PDM and hatch both offer a plugin type approach to support custom build steps
+PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
+
+CORRECTIONS:
+pdm doesn't use plugins. Hatch does.
+pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
+
+-->
+
+```{note}
+??
+Poetry supports extensions written in other languages but this functionality is
+currently undocumented.
+
+Tools such as Setuptools, PDM, Hatch and Poetry all have some level of support
+for C and C++ extensions.
+Some Python packaging tools,
+such as **Flit** and the **flit-core** build back-end only support pure-Python
+package builds.
+Some front-end packaging tools, such as PDM, allow you to use other
+build back-ends such as **meson** and **scikit-build**.
+
+```
diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index b8c7523b..35d0bf15 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -24,6 +24,11 @@ package to be reviewed and accepted into our ecosystem.
 
 In all cases, we try to align our suggestions with the most current, accepted
 [PEP's (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community specs](https://scientific-python.org/specs/).
+If you plan to submit a package for review to pyOpenSci and are looking for
+some guidance on package structure, code formats and style, then this section
+is for you.
+
+<!-- TODO: move this either to the top of this section or the landing page?-->
 
 ```{note}
 Have a look at the
@@ -35,14 +40,38 @@ anyone who is just getting started with creating a Python package.
 In general these are basic items that should be in any open software repository.
 ```
 
+## Guidelines for pyOpenSci's packaging recommendations
 
-<!--
+<!-- Might belong on the LANDING page for this entire guide?-->
+
+Python is a flexible programming language that is used across numerous
+disciplines and domains. Python is so flexible that it is one of the few
+languages that can be used to wrap around other languages.
+
+If you are building a pure Python package, then your packaging setup can be
+simple. However, some scientific packages have complex requirements as they may
+need to support extensions or tools written in other languages such as C or C++.
+
+To support the many different uses of Python, there are many ways to create a
+Python package.
+
+The ecosystem is dynamic, and constantly evolving to support
+the numerous needs that developers (and scientists) have using Python.
+
+This dynamic yet flexible environment is what many love about Python.
+
+## What you will learn here
+
+In this section of our Python packaging guide, we try to:
+
+* Provide an overview of the options available to you when packaging your tool
+* Suggest tools and approaches that both meet your needs and also support existing standards.
+* Suggest tools and approaches that will allow you to expand upon a workflow that may begin as a pure Python tool and evolve into a tool that requires addition layers of complexity in the packaging build.
+* Align our suggestions with the most current, accepted
+[PEPs (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community SPECs](https://scientific-python.org/specs/).
+* In an effort to maintain consistency within our community , we also align with existing best practices being implemented by developers of core Scientific Python packages such as Numpy, SciPy and others.
 
-These checks include several items
 
-- **Sufficient Documentation** The package has sufficient documentation available online (README, sphinx docs) to allow us to evaluate package function and scope *without installing the package*. This includes:
-  Get started tutorials or vignettes that help a user understand how to use the package and what it can do for them (often these have a name like "Getting started")
-- **API documentation** - this includes clearly written doc strings with variables defined using a standard docstring format -->
 <!--
 ```{tip}
 ### Python packaging resources that we love
@@ -57,3 +86,16 @@ the `src` directory.
 * [PyPA packaging guide](https://packaging.python.org/en/latest/)
 ```
 -->
+
+
+```{toctree}
+:hidden:
+:caption: Package structure & code style
+
+Intro <self>
+
+Python package structure <python-package-structure>
+What are SDIst & Wheel Files? <python-package-distribution-files-sdist-wheel>
+Package Build Tools <python-package-build-tools>
+Complex Builds <complex-python-package-builds>
+```
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 8a655d60..e5b4a3d8 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -1,15 +1,17 @@
 # Python Package Build Tools
 
-Below, we discuss some of the tools that are commonly used
-to build Python packages. This page is intended to help
-maintainers select a build tool to use.
-
+This page is intended to help you select a Python packaging
+build tool to use in your packaging workflow. Below, we discuss the features,
+benefits and limitations of the most commonly used Python packaging tools.
+We focus on pure-python packages in this guide. However, we also
+highlight tools that currently support python packages with C and other language
+extensions. We also link to resources for more complex packaging builds.
 
 <!--
 Where i'm leaving off here
 
 * setuptools is the OG clearly a lot of ppl use it. but the code base seems
-really messy and it's built on top of disutils that may be sunsetted i python 3.12 ?? so does it make sense for us all to use it or should we consider
+really messy and it's built on top of distutils that may be sunsetted i python 3.12 ?? so does it make sense for us all to use it or should we consider
 an example using hatch which seems really nice. extensible and has vcs built
 in as far as i can tell
 
@@ -25,116 +27,71 @@ setuptools vs hatch
 
 -->
 
-## Python package distribution files
-
-Before we dive into specific build tools, it's important
-to review the pieces of a "built" Python package.
-
-### Build
-To understand the two distributions below, it is important to understand two different types of files:
-
-**Source files:** source files are the unbuilt files needed to build your package. An example of a build step would be compiling uncompiled code.
-**Binary files:** binary files are the files needed to install your package. These files are pre-build. As such any code that need to be compiled has been compiled / built in a binary distribution.
-
-There are two types of distribution files that you will create to support
-publishing your Python package (on PyPI):
-
-1. SDIST and
-1. Wheel
-
-<!--
-* **SDist (Source Distribution):** This file, packaged as a **.tar.gz** tarball represents all of the unbuilt source files needed to build your package into an installable bundle. But the files within the package are not yet "built" if your package requires a  build step. Pure python packages most often do not require a build step.
-* **Wheel:** A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps. -->
-
-```{note}
-If your package is a pure python package with no additional
-build / compilation steps then the SDIST and Wheel files will have the same content.
-```
-<!-- TODO: add an example of the contents from SDIST vs .whl -->
-
-
-### What is a SDist file?
-
-SDist, short for **S**ource **D**istribution file is a packaged file in `.tar.gz`
-format (often called a "tarball") that has all of the files needed to build your
-package. In the SDist format, your package's files are not included in a built
-format. Thus, anyone using this file, will have to build the files first before
-they can be installed.
-
-```{tip}
-When you make a release on GitHub, it creates a SDist file (`.tar.gz`) that
-anyone can download and use.
-```
-
-<!--
-* one of the benefits of wheel is pretty much avoiding setup.py which
-has code mixed in. makes you more vulnerable to a code injection on install.
-
-assuming this means if the package is already pre-built than setup.py isn't running anything on install because install is just moving files across to the machine to be run.
-
-And having metadata separate allows someone to view the metadata without
-running any python code as it's a machine and human readable format.
-
-https://scikit-hep.org/developer/pep621
--->
+## Tools to build python packages
 
-### Wheel (.whl files):
+There are a suite of build tools that you can use to [create your Python package's **SDist** and *Wheel* distributions](python-package-distribution-files-sdist-wheel).
+To better understand your options, it's important to first understand the difference between a
+build tool front-end and build backend.
 
-A wheel or `.whl` file, is a zipped file that has
-the extension `.whl`. The wheel does not contain any of your packages
-configuration files such as **setup.cfg** or **pyproject.toml**. This distribution
-is a pre-build, ready-to-install format.
+<!-- From stefan: build, run tests on built version, load the built version into Python (?how is this different from install??), make editable install, build wheel, build sdist -->
 
-Because it is prebuilt, the wheel file will be faster to install for pure Python
-projects and can lead to consistent installs across machines.
 
-```{tip}
-Wheels are also useful in the case that a package
-needs a **setup.py** file to support a more complex built.
-In this case, because the files in the wheel bundle
-are pre built, the user installing doesn't have to
-work about malicious code injections when it is installed.
-```
 
-[Read more about the wheel format here](https://pythonwheels.com/)
 
 ## Tools to build python packages
 
-There are a suite of build tools that you can use to create your Python package's **SDist** and *Wheel* distributions.
-To better understand your options, it's important to first understand the difference between a
+There are several different build tools that you can use to [create your Python
+package's **SDist** and **Wheel** distributions](python-package-distribution-files-sdist-wheel).
+To better understand your options, it's important to first understand the
+difference between a
 build tool front-end and build backend.
 
 ## Build front-end vs. build backend tools for Python packaging
 
 ### Build back-ends
-Every tool has a back-end
-build tool that actually builds the package and creates associated (SDist and wheel) distribution
-files. Some of the tools below such as Flit and pdm only
-support straight forward builds that do not have a compilation or other additional build step. These
-types of tools are ideal if you have a pure python
-project.
+Most packaging tools have a back-end
+build tool that builds the package and creates associated
+(SDist and wheel) distribution files. Some tools, such as **Flit**, only
+support pure-Python package builds. A pure-Python build refers
+to a package build that does not have extensions that are written in another
+programming language (such as `C` or `C++`). These non-pure Python builds often
+have additional code compilation steps.
 
-Other tools such as Hatch/ hatchling and setuptools
-support more complex builds with custom steps.
+```{note}
+**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
+learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
+)
+```
 
+Other back-ends such as and **setuptools.build**, **meson.build**
+and **scikit-build** support complex builds with custom steps. If your
+build is particularly complex (ie you have more than a few `C`/`C++`
+extensions), we suggest you consider using **meson.build** or **scikit-build**.
+<!--
 ### Build front-ends
-Each tool discussed below has a front-end interface that you can use to
-perform different types of Python packaging tasks.
-For instance,
-you can use **Flit** to both build your package and
-to publish your package
-to PyPI (or test PyPI).
 
-Using a tool like **Flit** makes your workflow commands consistent and simple. For example, rather than using `twine` to publish your package to PyPi, you use `flit publish` (see below).
+Build front-ends have a user-friendly interface that allow you to perform
+common Python packaging tasks such as building your package, creating an
+environment to run package tests and build documentation, and pushing to PyPI.
 
-Example to build your package with Flit:
+Each front-end tool discussed below supports a slightly different set of Python
+packaging tasks.
+
+For instance, you can use **Flit**, **Hatch** and **PDM** to both build your
+package and to publish your package to PyPI (or test PyPI). However, if you
+want a tool that also support environment management and versioning your package,
+then you might prefer to use **Hatch** or **PDM**.
+
+Using a tool like **Flit**, **Hatch** or **PDM** will simplify your workflow.
+
+Example to build your package with **Flit**:
 
 `flit build`
 
 Example to publish to PyPI:
 `flit publish --repository testpypi`
 
-In the Pytyhon package build space **setuptools** is
+In the Python package build space **setuptools** is
 the "OG" -the original tool that everyone used to use.
 With a tool like  `setuptools` you have the flexibility
 to publish python pure python packages and packages with custom build steps. However, you will also need to use other tools. For example, you will use `twine` to publish to PyPI.
@@ -148,163 +105,513 @@ or not use it. There is no right or wrong tool to use
 as far as pyOpenSci is concerned. We are just trying to
 help you find the tool that works best for
 your workflow.
+Example build steps using setuptools:
+======= -->
 
 
-:::{figure-md} fig-target
+## Build front-end vs. build back-end tools for Python packaging
 
-<img src="../images/python-package-tools-2022-survey-pypa.png" alt="Graph showing the results of the 2022 PyPA survey of Python packaging tools. On the x axis is percent response and on the y axis are the tools." width="700px">
+### Python package build front-ends
 
-The Python developers survey results (n=>8,000 PyPI users) show setuptools and poetry as the most commonly used Python packaging tools. The core tools that we've seen being used in the scientific community are included here. [You can view the full survey results by clicking here.](https://drive.google.com/file/d/1U5d5SiXLVkzDpS0i1dJIA4Hu5Qg704T9/view)
-:::
+A packaging front-end tool refers to a tool that makes it easier for you to
+perform common packaging tasks using similar commands, such as:
 
-The tools that we review below are those that were the most commonly used in the above survey. They include:
+* [Creating a Sdist and Wheel distribution](python-package-distribution-files-sdist-wheel)
+* Managing an environment or multiple environments in which you need to run tests and develop your package
+* Building documentation
+* Installing your package in a development mode (so it updates when you update your code)
+* Publishing to PyPI
 
-* setuptools
-* flit
-* hatch
-* pdm
+There are several Python packaging tools that you can use for pure Python
+builds. Each tool
+offers slightly different sets of functionality to support your build.
 
+For instance, you can use the packaging tools **Flit**, **Hatch** or **PDM**
+to both build and publish your package to PyPI. However **Flit**
+does not support versioning or environment management. Only **Hatch** and
+**PDM** support those two features. If you want a tool that supports dependency
+locking, you may prefer to use **PDM**. **Hatch** does not currently offer
+dependency lock support.
 
-```{note}
-Note that we are intentionally not including Poetry in this list because
+**Setuptools** on the other hand is a build back end tool. You will need
+to use **twine** to publish to PyPI if you use setuptools.
+
+If you are just getting started with packaging, then using a tool like **Flit**,
+**Hatch** or **PDM** will simplify your workflow.
+
+### Example build steps that can be simplified using a front-end tool
+
+Example to build your package with **Hatch**:
 
-1. Poetry pins dependencies using `^`. This `^` symbol means that there is an "upper bound" to the dependency. Thus poetry will bump a dependency version to a new major version.  Thus if your package using a dependency that is at version 1.2.3, poetry will never bump the dependency to 2.0 even if there is a new major version of the package. It will bump up to 1.9.x. . [This approach has been found to be problematic by many of our core scientific packages.](https://iscinumpy.dev/post/bound-version-constraints/)
-## 1. TODO:  look at how it creates a pyproject toml file too...
+```bash
+# Build your sDist and .whl files
+hatch build
 
-As such, we don't suggest that use of poetry for your
-development workflow even though it is an excellent and
-well documented tool. It's dependency management
-decisions have caused breaking changes in several large
-Python packages.
+# Example to publish to PyPI:
+hatch publish --repository testpypi
 ```
+Example build steps using **setuptools** and **build**:
+
+```bash
+# Build the package
+python3 -m build
+# Check build
+twine check dist/*
+# Publish to test PyPI
+twine upload -r testpypi dist/*
+```
+
+However each tool has different features and limits on the types of packaging
+steps that it supports.
+
+```{admonition} Pure Python Packages vs. packages with extensions in other languages
+
+You can classify Python package complexity into three general categories. These
+categories can in turn help you select the correct package front-end and
+back end tools.
+
+1.  **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
+has the features that you want and be done with your decision!
+2.  **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
+supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
+3. **Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
+
+On this page, we will focus on using front-end tools to package pure python
+packages. We will note if a package does have the flexibility to support other
+back-ends and in turn more complex builds (*mentioned in #2 and #3 above*).
+
+[If you are interested in tool support for non pure python builds, check out this
+page for resources.](complex-python-package-builds)
+```
+
+### Build back-ends
+
+Most front-end packaging tools have their own back-end build tool. The build
+tool creates your package's (SDist and Wheel) distribution files. For pure
+Python packages, the main difference between the different build back-ends
+discussed below is:
+
+* How configurable they are and
+* How much you need to configure them to ensure the correct files are included in your SDist and Wheel files.
+
+It is also important to note that some back-ends, such as Flit-core, only support
+pure Python builds. Other back ends support C and C++ extensions:
+
+* setuptools supports builds using C / C++ extensions
+* Hatchling supports C extensions via plugins that the developer creates to customize a build
+* PDM-pep517 supports C extensions by using setuptools
+* Poetry supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend exploring it now for tools with extensions written in other languages.
+
+While we won't discuss more complex builds below, we will identify which tools
+allow for C and C++ extensions.
+
+
+<!--
+From Eli:
+
+poetry: supports it (c extensions), but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
+pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
+hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
+
+-->
+
+<!-- ```{note}
+**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
+learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels). This functionality uses setuptools "under the
+hood".
+``` -->
+
+
+
+## An ecosystem of Python build tools
+
+Below we introduce several of the most commonly used Python packaging build
+tools (see chart below).
+
+:::{figure-md} fig-target
+
+<img src="../images/python-package-tools-2022-survey-pypa.png" alt="Graph showing the results of the 2022 PyPA survey of Python packaging tools. On the x axis is percent response and on the y axis are the tools." width="700px">
+
+The Python developers survey results (n=>8,000 PyPI users) show setuptools and poetry as the most commonly used Python packaging tools. The core tools that we've seen being used in the scientific community are included here. [You can view the full survey results by clicking here.](https://drive.google.com/file/d/1U5d5SiXLVkzDpS0i1dJIA4Hu5Qg704T9/view) NOTE: this data represent maintainers across domains and is likely heavily represented by those in web development. So this represents a snapshot across the broader Python ecosystem.
+:::
 
-## How to chose a build development tool
 
-When deciding what tools you wish to use, there are a few basic criteria that
-you can use to help guide your decision:
+## How to chose a build workflow tool
 
-### Build tools for pure Python packages
-If your package is a pure Python package and it doesn't have any additional build steps (such as compiling code, etc) you can use any of the tools discussed on
-this page including:
+The tools that we review below include:
 
+* setuptools + twine, build
 * Flit
 * Hatch
-* setuptools
-* pdm
+* PDM
+* Poetry
+
+We suggest that you pick one of the modern tools listed above rather than
+setuptools because setuptools will require some additional knowledge
+to set up correctly.
+
+When you are selecting a tool, you might consider this general workflow of
+questions:
 
- ### Build tools for Python packages with complex build steps
-If your package is not pure python, or it has complex build steps (or build
+1. **Is your tool pure python? Yes?** You can use any tool that you wish! Pick the tool that has the features that you want to use in your build workflow. We suggest:
+* flit, hatch, PDM or poetry (read below for more)
+1. **Does your tool have a few C or C++ extensions?** Great, we suggest using
+**PDM** for the time being. It is the only tool in the list below that has documented
+workflow to support such extensions. It also supports other backends such as scikit build and meson-python that will allow you to fully customize your build.
+
+NOTE: You can also use Hatch but you will need to write your own plugin for this support.
+
+
+<!-- TODO: create build tool selection diagram -->
+
+<!-- ### Build tools for Python packages with complex build steps
+If your package is not pure Python, or it has complex build steps (or build
 steps that you need to customize), then you should consider using:
 
 * Setuptools
 * Hatch
+* PDM
+
+These tools allow you to customize your workflow with build steps needed
+to compile code. -->
 
-Both of these tools allow you to customize your workflow with build steps needed
-to compile code.
+## Python packaging tools summary
+<!-- NOTE - add language around the front end means that you have less individual tools in your build - such as nox / make with hatch -->
 
-**Setuptools** is the "OG" tool that has been used for Python packaging for many years.
-**Hatch** is the newer, more modern tool that supports customization of any part of your packaging steps.
 
-## Tools that also support version bumping
-Of the tools listed on this page, two of them support
-direct package versioning:
+Below, we summarize features offered by the most popular build front end tools.
+Note that because setuptools does not offer a front-end interface, it is not
+included in the table.
 
-* setuptools has setuptools_scm
-* hatch has hatch_vcs
 
-Each tool listed above allows you to setup a release
-workflow using your version control platform of choice
-(we are using GitHub as an example here given it is
-currently the most popular platform).
+### Package tool features table
 
-## Python packaging tools summary
-A summary of what each of the tools offers can be found in the table below:
-| Feature                                                                | Setuptools            | Flit      | Hatch     | PDM |
-| ---------------------------------------------------------------------- | --------------------- | --------- | --------- | --- |
-| Build backend                                                          | setuptools.build_meta | flit_core | hatchling |  pdm-pep517   |
-| Supports projects that aren't pure python                              | yes                   | no        | yes       | no  |
-| Supports custom build steps (before creating wheel)                    | yes                   | no        | yes       | no  |
-| Has built in dependency management                                     | no                    | no        | no (future feature)       | yes |
-| Can be used to publish directly to pypi                                | no (use twine)        | yes       | yes       | yes |
-| Has version control based (eg git based) tooling to bump version       | setuptools_scm        | no        | hatch-vcs | ?   |
-| Supports automated GitHub only releases (no local command line needed) | yes                   | no        | yes       |     |
-(GitHu
-## Setuptools
-
-build-backend: setuptools.build_meta
-build_frontend: setuptools
-build_versioning: setuptools_scm
-
-[Setuptools](https://setuptools.pypa.io/en/latest/) is one of the most mature Python packaging tools with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#). Given this history, it is said to be the most heavily used Python packaging tool.
+```{csv-table}
+:header: Feature, Flit, Hatch, PDM, Poetry
+:widths: 36, 10,10,10,10
 
-### Potential benefits of setuptools
-Some of the benefits include:
-* Fully customizable build workflow
-* Examples from many packages already using
-* Built in versioning using **setuptools_scm**
-* Supports modern packaging using **pyproject.toml** for metadata
+Default Build Back-end, Flit-core, Hatch-core, PDM, Poetry
+Use Other Build Backends,✖ , ✖,✅  ,✖
+Dependency management, ✖,✖,✅,✅
+Publish to PyPI, ✅,✅,✅,✅
+Version Control based versioning,✖,✅,✅,✖
+Version bumping,✖,✅, ✅, ✅
+More than One maintainer?,✖,✖, ✖, ✅
+```
 
-### Potential drawbacks of setuptools
+Notes:
+* *Hatch plans to support using other backends and dependency management in the future*
+* Poetry supports semantic versioning. thus it will support version bumping following commit messages if you use a tool such as Python Semantic Release
 
-Setuptools has a few drawbacks:
+## PDM
+
+[PDM is a Python packaging and dependency management tool](https://pdm.fming.dev/latest/).
+PDM supports builds for pure Python projects. It also provides multiple layers of
+support for projects that have C and C++ extensions.
+
+```{admonition} PDM support for C and C++ extensions
+
+PDM supports using the PDM-backend and setuptools at the same time.
+This means that you can run setuptools to compile and build C extensions. PDM's build backend receives the compiled extension files (.so, .pyd) and packages them with the pure Python files.
+```
+
+### PDM Features
+
+```{csv-table}
+:header: Feature, PDM, Notes
+:widths: 20,5,50
+
+Use Other Build Backends, ✅, When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
+Dependency management & lock files ,✅,PDM and Poetry are currently the only two tools that support creating dependency lock files. Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
+Select your environment manager of choice (conda; venv; etc),✅ , PDM allows you to select the environment manager that you want to use for managing your package.
+Publish to PyPI,✅,PDM supports publishing to both test PyPI and PyPI
+Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it's package which allows you to use dynamic versioning that rely on git tags.
+Version bumping, ✅ , PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
+```
+
+```{admonition} PDM vs. Poetry
+The functionality of PDM is similar to Poetry. However, PDM also offers
+additional, documented support for C extensions and version control based
+versioning. If you are deciding, the main difference between these two tools
+is that Poetry follows strict semantic versioning. Strict adherence to semantic
+versioning can be problematic in many cases (more on that below).
+```
+
+### Challenges with PDM
+
+PDM is a full-featured packaging tool. However it is not without challenges:
+
+* Its documentation can be confusing, especially if you are new to
+packaging. For example, PDM doesn't provide an end to end beginning workflow in its documentation.
+* PDM also only has one maintainer currently. We consider individual maintainer
+teams to be a potential risk. If the maintainer finds they no longer have time
+to work on the project, it leaves users with a gap in support. Hatch and Flit
+also have single maintainer teams.
+
+[You can view an example of a package that uses PDM here.](https://github.com/pyOpenSci/examplePy/tree/main/example4_pdm). The readme for this directly provides you with
+an overview of what the PDM command line interface looks like when you use it.
 
-* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
-not as flexible in its adoption of modern Python packaging
-standards. This backwards compatibility also makes for a more complex code-base.
-* To push to PyPI you will need to use another tool, **twine**.
-* TODO: Pradyun - bad defaults??
 
 ## Flit
 
-* Build Backend: **flit_core.buildapi**
-* Versioning: No, Flit uses the  version from your package's ` __version__`. To update this you'd want to use another tool such as: bump2version <!!not really maintained now>
+[Flit is a no-frills, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
+
+If you have a pure Python project and don't need:
+
+* Any additional build steps for your package,
+* Support for dependency version pinning
+* support for version "bumping"
+
+Flit could be the tool for you. Flit is also a great choice if you are
+building a basic package to use in a local workflow.
+
+### Flit Features
+
+Flit can:
+
+* Help you setup your **pyproject.tom**l metadata
+* Build your SDist and wheel distributions
+* Publish to testPyPI and PyPI
+* Install your package
+
+```{admonition} Learn more about flit
 * [Why use flit?](https://flit.pypa.io/en/stable/rationale.html)
+```
 
-[Flit is a modern, no-nonsense, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
+### Challenges with Flit:
 
-If you have a pure Python project and don't need any
-additional build steps for your package, Flit could be
-a tool for you.
+Flit does not offer:
+* Version Support: Flit uses the version from your package's ` __version__`.
+* Dependency Pinning
+* Environment support
 
-**Flit** supports **proproject.toml** files for metadata and dependency management.
+Because Flit is no frills, it is best for basic, quick builds. If you are a
+beginner you may want to select Hatch or PDM which will offer you more support
+in common operations.
 
-**Flit** also has a front end command line that will help
-you publish your package to both testPyPI and PyPI.
 
-<!--
-many thanks to the resources here: https://henryiii.github.io/level-up-your-python/notebooks/2.7%20Creating%20Packages.html#  -->
+### Why you might not want to use Flit
+You may NOT want to use flit if:
+
+* You want to setup more advanced version tracking and management (using version control of version bumping)
+* You want a tool that handles dependency versions (use PDM instead)
+* You have a project that is not pure Python (Use Hatch, PDM or setuptools)
 
 ## Hatch
 
-* Build Backend: **hatchling**
-* Version control based versioning: Yes -  **hatch-vcs**
-* Push to PyPI:
+[**Hatch**](https://hatch.pypa.io/latest/), similar to Poetry and PDM, provides a
+unified command line interface. To separate Hatch from Poetry and PDM, it also
+provides an environment manager for testing that will  make it easier for
+you to run tests locally across different versions of Python. It also offers a
+nox / makefile like feature that allows you to create custom build workflows such
+as building your documentation locally, that you may have created in the past
+using a tool like **Make** or **Nox**.
 
-[**Hatch**](https://hatch.pypa.io/latest/) can be compared to **Flit** in that it simplifies your
-package's build workflow using consistent commands. However, it adds:
+### Hatch features
 
-* A fully customizable build back-end
-* Full flexibility for each step of the build process.
+Hatch features include:
+
+* Version control based versioning using **hatch-vcs**. (If you are familiar with setuptools_scm hatch wraps around that tool.)
+* Publish to PyPI
+* Build your package SDist and Wheel locally.
+* Create an environment and install your package in development mode
 * Matrix environment creation to support testing across Python versions
 * [Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)
-where you can create workflows in the pyproject.toml configuration to do things
-like serve docs locally and cleaning your package build directory.
+where you can create workflows in the **pyproject.toml** configuration to do things
+like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow
 
-Hatch does about everything that you might need to support
-package development. It is ideal for packages that have compiled code and thus
-require custom build steps.
+<!-- QUESTION: Does hatch allow you to use other envt managers like conda?? i don't see that it does
+so it might be similar to Poetry in that regard -->
 
-While hatch does have some "opinions" about how parts
-of the packaging build run, you can customize any aspect
-of it's build making if fully flexible.
+### Advanced features:
+* A flexible build backend, **hatchling**, that allows developers to add plugins that can be used to customize a build.
 
-## PDM
 
-[PDM is a Python packaging and dependency management tool.](https://pdm.fming.dev/latest/).
-It is designed to support pure python projects.
+### Challenges with Hatch
+
+There are a few features that hatch is missing that may be important for some.
+These include:
+
+Hatch:
+* Doesn't support dependency "pinning" and management
+* Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
+Python, this won't be an issue.
+* Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
+* Hatch doesn't provide an end to end beginning workflow in it's documentation.
+* Hatch, similar to PDM and Flit currently only has one maintainer.
+
+```{note}
+While Hatch does have some "opinions" about how parts of the packaging build
+run, you can customize any aspect of its build.
+```
+
+## Poetry
+
+[Poetry is a full-featured build tool.](https://python-poetry.org/) It is also
+the second most popular front-end packaging tool (based upon the PyPA survey).
+Poetry is user-friendly and has clean and easy-to-read documentation.
+
+While some have used Poetry for Python builds with C/C++ extensions, this support
+is currently undocumented. Thus we don't recommend it for more complex builds.
+
+
+### Poetry features
+
+* Publish to PyPi and Test PyPI
+* Builds your package's SDist and Wheel distribution files
+* Version bumping at the command line
+* Poetry offers dependency "pinning" however it does so in a way that can be problematic - read below for more
+* [Built in environment management with options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment) to either use your own environment or to create an environment in your local directory <!-- will it recognize a conda envt?? -->
+* Offers support for [both a src/ and flat layout](python-package-structure.md)
+* Installs you package in editable mode (using `--editable`)
+* Allows you to organize dependencies in groups: docs, package, tests etc
+
+
+### Challenges with Poetry
+
+There are some features that Hatch and PDM offer that Poetry does not.
+
+Hatch: offers matrix environment management that allows you to run tests across
+Python versions. It also offers a Nox / Make file like tool to streamline your
+build workflow.
+PDM: does not offer matrix environments of Nox / Makefile like tools. It does
+offer dependency management but adheres to a >= approach when pinning. This
+avoids the issue described below with Poetry's upper bound pinning.
+
+
+
+Some challenges of poetry include:
+
+* Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol. See breakout below for more regarding why this is potentially problematic.
+* Doesn't support version control based versioning
+* *Minor:* The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed when they release version 2.0.
+
+Poetry is an excellent tool. Use caution when pinning dependencies as
+Poetry's approach to pinning has been showing to be problematic for many builds.
+
+```{admonition} Challenges with Poetry dependency pinning
+:class: important
+
+Poetry pins dependencies using `^`. This `^` symbol means that there is
+an "upper bound" to the dependency. Thus poetry will bump a dependency
+version to a new major version. Thus, if your package uses a dependency that
+is at version 1.2.3, Poetry will never bump the dependency to 2.0 even if
+there is a new major version of the package. Poetry will instead bump up to 1.9.x.
+
+Poetry does this because it adheres to strict sesmantic versioning which stats
+that a major version bump (from 1.0 to 2.0 for example) means there are breaking
+changes in the tool. however, not all tools follow strict semantic versioning.
+[This approach has been found to be problematic by many of our core scientific packages.](https://iscinumpy.dev/post/bound-version-constraints/)
+
+This approach also won't support over ways of versioning tools, for instance,
+some tools use [calver](https://calver.org/) which creates new versions based on the date.
+```
+
+<!--todo: look at eli's comments about this-->
+
+
+<!--
+The example below is taken from [this thread in GitHub](https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750).
+
+```toml
+[tool.poetry.dependencies]
+python = ">=3.6" # This is muddled in as a dependency, while it's not like the others
+numpy = ">=1.13.3"
+typing_extensions = { version = ">=3.7", python = "<3.8" }
+
+sphinx = {version = "^4.0", optional = true}
+sphinx_book_theme = { version = ">=0.0.40", optional = true }
+sphinx_copybutton = { version = ">=0.3.1", optional = true }
+pytest = { version = ">=6", optional = true }
+importlib_metadata = { version = ">=1.0", optional = true, python = "<3.8" } # TOML error to add an ending comma or new line, even if this gets long
+boost-histogram = { version = ">=1.0", optional = true }
+
+[tool.poetry.dev-dependencies]
+pytest = ">=5.2"  # All the optional stuff above doesn't help here!
+importlib_metadata = {version = ">=1.0", python = "<3.8" }
+boost_histogram = ">=1.0"
+
+[tool.poetry.extras]
+docs = ["sphinx", "sphinx_book_theme", "sphinx_copybutton"]
+test = ["pytest", "importlib_metadata", "boost_histogram" ]
+```
+
+vs PDM
+
+```toml
+[project]
+requires-python = ">=3.6"
+dependencies = [
+  "numpy>=1.13.3",
+  "typing-extensions>=3.7; python_version<'3.8'",
+]
+
+# Only needed for extras
+[project.optional-dependencies]
+docs = [
+  "sphinx>=4.0",
+  "sphinx-book-theme>=0.0.40",
+  "sphinx-copybutton>=0.3.1",
+]
+test = [
+  "pytest>=6",
+  "importlib-metadata>=1.0; python_version<'3.8'",
+  "boost-histogram>=1.0",
+]
+
+# Only needed for "dev" installs
+[tool.pdm.dev-dependencies]
+dev = [
+  "pytest>=6",
+  "importlib-metadata>=1.0; python_version<'3.8'",
+  "boost-histogram>=1.0",
+]
+```
+-->
+
+## Using Setuptools Back-end for Python Packaging
+
+[Setuptools](https://setuptools.pypa.io/en/latest/) is the most
+mature Python packaging build tool with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#).
+Setuptools also has the largest number of users. Setuptools does not offer a user
+front-end like Flit, Poetry and Hatch offer. As such you will need to use other
+tools such as **build** to create
+your package distributions and **twine** to publish to PyPI.
 
-Benefits of using PDM:
+While setuptools is the most commonly used tool, we encourage package maintainers
+to consider using a more modern tool for packaging such as Hatch or PDM.
 
-* Dependency management
+We discuss setuptools here because it's commonly found in the ecosystem and
+contributors may benefit from understanding it.
 
-HELP! Can someone help me understand why you'd pick pdm please? my guess if is you want dependency management
+### Potential benefits of setuptools
+
+Some of features of setuptools include:
+
+* Fully customizable build workflow
+* Many scientific Python focused packages use it.
+* If offers version control based package versioning using **setuptools_scm**
+* Supports modern packaging using **pyproject.toml** for metadata
+* Supports backwards compatibly for older packaging approaches.
+
+### Challenges using setuptools
+
+Setuptools has a few challenges:
+
+* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
+not as flexible in its adoption of modern Python packaging
+standards.
+* The above-mentioned backwards compatibility makes for a more complex code-base.
+* Your experience as a user will be less streamlined and simple using setuptools compared to other tools discussed on this page.
+
+There are also some problematic default settings that users should be aware of
+when using setuptools. For instance,
+
+* setuptools will build a
+project without a name or version if you are not using a **pyproject.toml** file
+to store metadata.
+*Setuptools also will include all of the files in your package
+repository if you do not explicitly tell it to exclude files using a
+**MANIFEST.in** file
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
new file mode 100644
index 00000000..5b82be49
--- /dev/null
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -0,0 +1,177 @@
+<!-- TODO: break out into new page so this focuses just on tools -->
+# What is a SDist and Wheel? About Python Package Distribution Files
+
+This pages will help you understand the two core packaging files
+that you need to create to publish your Python package to
+PyPI - the Source Distribution (SDist) and the Wheel (.whl).
+
+## Source vs. Binary Files
+
+To begin, it's important to understand the two "types" of
+distribution files. When it comes to packaging, you can think about files as either source or
+binary:
+
+**Source files:** source files are the unbuilt files needed to build your
+package. These are the "raw / as-is" files that you store on GitHub or whatever
+platform you are using to manage your code repository.
+**Binary files:** binary files are the source files after they've been built. These files have been compiled (if they require compilation) and are ready
+to be installed.
+
+### Python package distribution types: SDist and Wheels
+There are two types of distribution files that you will create to support
+publishing your Python package on PyPI:
+
+1. SDist and
+1. Wheel
+
+<!--
+* **SDist (Source Distribution):** This file, packaged as a **.tar.gz** tarball represents all of the unbuilt source files needed to build your package into an installable bundle. But the files within the package are not yet "built" if your package requires a  build step. Pure python packages most often do not require a build step.
+* **Wheel:** A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps. -->
+
+```{note}
+If your package is a pure python package with no additional
+build / compilation steps then the SDIST and Wheel files will have
+similar content.
+```
+
+### What is a SDist file?
+
+SDist, short for **S**ource **D**istribution file is a packaged file in `.tar.gz`
+format (often called a "tarball") that has all of the files needed to build your
+package. In the SDist format, your package's files are not included in a built
+format. Thus, anyone using this file, will have to build the files first before
+they can be installed.
+
+<!-- TODO: will work on cleaning up this after adding MANIFEST and then
+add a section on the MANIFEST file for packaging and link to
+https://packaging.python.org/en/latest/guides/using-manifest-in/-->
+
+```
+stravalib-1.1.0.post2-SDist.tar.gz file contents
+
+├─ 📂 stravalib
+│  ├─ tests
+│  │  ├─ integration
+│  │  │  ├─ __init__.py
+│  │  │  ├─ conftest.py
+│  │  │  ├─ strava_api_stub.py
+│  │  │  └─ test_client.py
+│  │  ├─ unit
+│  │  │  ├─ __init__.py
+│  │  │  ├─ test_attributes.py
+│  │  │  ├─ ...
+│  │  ├─ __init__.py
+│  │  ├─ auth_responder.py
+│  │  └─ test.ini-example
+│  ├─ util
+│  │  ├─ __init__.py
+│  │  └─ limiter.py
+│  ├─ __init__.py
+│  ├─ _version.py
+│  ├─ _version_generated.py
+│  ├─ attributes.py
+│  ├─ ...
+├─ stravalib.egg-info
+│  ├─ PKG-INFO
+│  ├─ SOURCES.txt
+│  ├─ dependency_links.txt
+│  ├─ requires.txt
+│  └─ top_level.txt
+├─ CODE_OF_CONDUCT.md
+├─ CONTRIBUTING.md
+├─ LICENSE.txt
+├─ MANIFEST.in
+├─ Makefile
+├─ PKG-INFO
+├─ README.md
+├─ changelog.md
+├─ environment.yml
+├─ pyproject.toml
+├─ requirements-build.txt
+├─ requirements.txt
+└─ setup.cfg
+
+```
+
+```{tip}
+When you make a release on GitHub, it creates a SDist file (`.tar.gz`) that
+anyone can download and use.
+```
+
+<!--
+* one of the benefits of wheel is pretty much avoiding setup.py which
+has code mixed in. makes you more vulnerable to a code injection on install.
+
+assuming this means if the package is already pre-built than setup.py isn't running anything on install because install is just moving files across to the machine to be run.
+
+And having metadata separate allows someone to view the metadata without
+running any python code as it's a machine and human readable format.
+
+https://scikit-hep.org/developer/pep621
+-->
+
+### Wheel (.whl files):
+
+A wheel or `.whl` file, is a zipped file that has
+the extension `.whl`. The wheel does not contain any of your packages
+configuration files such as **setup.cfg** or **pyproject.toml**. This distribution
+is a pre-build, ready-to-install format.
+
+Because it is prebuilt, the wheel file will be faster to install for pure Python
+projects and can lead to consistent installs across machines.
+
+```{tip}
+Wheels are also useful in the case that a package
+needs a **setup.py** file to support a more complex built.
+In this case, because the files in the wheel bundle
+are pre built, the user installing doesn't have to
+work about malicious code injections when it is installed.
+```
+
+The filename of a wheel contains important metadata about your package.
+
+Example: **stravalib-1.1.0.post2-py3-none.whl**
+
+* packageName: stravalib
+* packageVersion: 1.1.0
+* build-number: 2 (post2) [(read more about post here)](https://peps.python.org/pep-0440/#post-release-separators)
+* py3: supports Python 3.x
+* none: is not operating system specific (runs on windows, mac, linux)
+* any: runs on any computer processor / architecture
+
+What a wheel file looks like when unpacked (unzipped):
+
+```
+stravalib-1.1.0.post2-py3-none.whl file contents:
+
+├─ 📂 stravalib
+│  ├─ tests
+│  │  ├─ functional
+│  │  │  ├─ __init__.py
+│  │  │  ├─ test_client.py
+│  │  ├─ unit
+│  │  │  ├─ __init__.py
+│  │  │  ├─ test_attributes.py
+│  │  ├─ __init__.py
+│  │  ├─ auth_responder.py
+│  │  └─ test.ini-example
+│  ├─ util
+│  │  ├─ __init__.py
+│  │  └─ limiter.py
+│  ├─ __init__.py
+│  ├─ _version.py
+│  ├─ _version_generated.py
+│  ├─ attributes.py
+│  ├─ client.py
+└─ stravalib-1.1.0.post2.dist-info  # Package metadata are stored here
+   ├─ LICENSE.txt
+   ├─ METADATA
+   ├─ RECORD
+   ├─ WHEEL
+   └─ top_level.txt
+
+```
+
+```{tip}
+[Read more about the wheel format here](https://pythonwheels.com/)
+```
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 0ed62004..78d785d0 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,4 +1,5 @@
 # Python Package Structure for Scientific Python Projects
+
 There are two different general layouts that you will commonly see
 within the Python packaging ecosystem:
 [src and flat layouts (click here to learn more).](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
@@ -16,7 +17,10 @@ Below you will learn about the pros and cons of both layouts.
 Currently most scientific packages use the **flat-layout** given:
 
 * It's the most commonly found layout with the scientific Python ecosystem
-* Many Python tools depend upon tools in other language and / or complex builds with compilation steps. Many developers thus appreciate features of the flat layout such as tests being included with the package when they are installed) to support troubleshooting across installations.
+* Many Python tools depend upon tools in other language and / or complex builds
+with compilation steps. Many developers thus appreciate features of the flat
+layout such as tests being included with the package when they are installed) to
+support troubleshooting across installations.
 
  In the end, the advantages of using the **src/** layout for scientific packages
  that already use this approach do not
@@ -25,9 +29,8 @@ Currently most scientific packages use the **flat-layout** given:
  Python ecosystem.
 
 
-```{tip}
-
-## Core scientific Python packages that use the flat layout
+```{admonition} Core scientific Python packages that use the flat layout
+:class: tip
 
 * [numpy](https://github.com/numpy/numpy)
 * [scipy](https://github.com/scipy/scipy)
@@ -39,7 +42,8 @@ Currently most scientific packages use the **flat-layout** given:
 
 It would be a significant maintenance cost and burden to move all of these
 packages to a different layout. The potential benefits of the source layout
-for these tools is not worth the maintenance investment. To avoid dividing the scientific Python community,
+for these tools is not worth the maintenance investment. To avoid dividing the
+scientific Python community,
 pyOpenSci supports maintainers using a flat layout for scientific packages.
 ```
 
@@ -47,7 +51,8 @@ pyOpenSci supports maintainers using a flat layout for scientific packages.
 
 The flat layout's primary characteristics are:
 
-* The source code for your package lives in a directory with your package's name in the root of your directory
+* The source code for your package lives in a directory with your package's
+name in the root of your directory
 * Often the `tests/` directory also lives within that same `package-name` directory.
 
 Below you can see the recommended structure of a scientific Python package
@@ -148,16 +153,6 @@ myPackage
    └── ...                     ┘ Package tests
 ```
 
-
-
-<!-- Not sure why i added this here? -->
-To install your package in editable mode use:
-
-```bash
-$ cd package-name
-$ pip install -e .`
-```
-
 ## Core file requirements for a Python package
 
 In the above example, notice that all of the core documentation files that
@@ -193,9 +188,9 @@ data within your package structure. We will discuss this in more detail in a
 tutorial.
 ```
 
-<!--
-```{note}
-### Src vs. flat layouts for Python packaging
+
+```{admonition} Src vs. flat layouts for Python packaging
+:class: note
 While you will see other structures, [such as the `src/`
 layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) recommended by the [Python packaging authority](https://py-pkgs.org/04-package-structure) and others, all scientific
 Python packages have used a flat layout. This structure has been
@@ -211,7 +206,7 @@ structure. And further it would not provide them with any core benefit.
 
 
 ```
--->
+
 
 ## Use a pyproject.toml file for your package configuration & metadata
 
@@ -292,8 +287,8 @@ We discuss build tools for python package more here.
 
 <!-- TODO: where does this tip belong? -->
 ```{tip}
-PEPs stand for Python Enhancement Protocols. They provide guidelines for standardizing
-Python code and packaging.
+PEPs stand for Python Enhancement Protocols. They provide guidelines for
+standardizing Python code and packaging.
 ```
 
 

From e114a1be794c159d8888e4f0bf7244684dd8fd3e Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Feb 2023 14:30:32 -0700
Subject: [PATCH 03/42] Fix: cleanup packaging page and add decision tree
 diagram

Fix: feedback on packaging pr

Fix: cleanup packaging page and add decision tree diagram

Update package-structure-code/python-package-distribution-files-sdist-wheel.md

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>

Update package-structure-code/python-package-structure.md

Co-authored-by: Henry Schreiner <HenrySchreinerIII@gmail.com>
---
 images/python-package-tools-decision-tree.png | Bin 0 -> 315624 bytes
 package-structure-code/intro.md               |   2 +-
 .../python-package-build-tools.md             | 389 ++++++++----------
 ...-package-distribution-files-sdist-wheel.md |   2 +-
 .../python-package-structure.md               |   2 +-
 5 files changed, 184 insertions(+), 211 deletions(-)
 create mode 100644 images/python-package-tools-decision-tree.png

diff --git a/images/python-package-tools-decision-tree.png b/images/python-package-tools-decision-tree.png
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rR2vGu`|sucD?6Io@LxswUsr{*2>){q_Am}=B%yUf?|R8q+o%5z7I53A

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HcmV?d00001

diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index 35d0bf15..f25e9e31 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -95,7 +95,7 @@ the `src` directory.
 Intro <self>
 
 Python package structure <python-package-structure>
-What are SDIst & Wheel Files? <python-package-distribution-files-sdist-wheel>
+What are SDist & Wheel Files? <python-package-distribution-files-sdist-wheel>
 Package Build Tools <python-package-build-tools>
 Complex Builds <complex-python-package-builds>
 ```
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index e5b4a3d8..89bb17ad 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -1,61 +1,45 @@
 # Python Package Build Tools
 
-This page is intended to help you select a Python packaging
-build tool to use in your packaging workflow. Below, we discuss the features,
+There are a suite of build tools that you can use to [create your Python package's **SDist** and *Wheel* distributions](python-package-distribution-files-sdist-wheel). Below, we discuss the features,
 benefits and limitations of the most commonly used Python packaging tools.
 We focus on pure-python packages in this guide. However, we also
-highlight tools that currently support python packages with C and other language
-extensions. We also link to resources for more complex packaging builds.
+highlight tools that currently support packages with C/C++ and other language
+extensions.
 
-<!--
-Where i'm leaving off here
-
-* setuptools is the OG clearly a lot of ppl use it. but the code base seems
-really messy and it's built on top of distutils that may be sunsetted i python 3.12 ?? so does it make sense for us all to use it or should we consider
-an example using hatch which seems really nice. extensible and has vcs built
-in as far as i can tell
-
-
-Below talk about each tool and the potential drawbacks.
-post on slack about setuptools (next week) and also maybe discord.
-
-I think this page should be it's own separate PR as i really want eyes on it.
-So more eyes == better.
-I can then have another Pr that has package structure...
-
-setuptools vs hatch
 
--->
-
-## Tools to build python packages
-
-There are a suite of build tools that you can use to [create your Python package's **SDist** and *Wheel* distributions](python-package-distribution-files-sdist-wheel).
-To better understand your options, it's important to first understand the difference between a
-build tool front-end and build backend.
-
-<!-- From stefan: build, run tests on built version, load the built version into Python (?how is this different from install??), make editable install, build wheel, build sdist -->
+```{admonition} Pure Python Packages vs. packages with extensions in other languages
 
+You can classify Python package complexity into three general categories. These
+categories can in turn help you select the correct package front-end and
+back end tools.
 
+1.  **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
+has the features that you want and be done with your decision!
+2.  **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
+supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
+3. **Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
 
+On this page, we will focus on using front-end tools to package pure python
+packages. We will note if a package does have the flexibility to support other
+back-ends and in turn more complex builds (*mentioned in #2 and #3 above*).
 
-## Tools to build python packages
+[If you are interested in tool support for non pure python builds, check out this
+page for resources.](complex-python-package-builds)
+```
 
-There are several different build tools that you can use to [create your Python
-package's **SDist** and **Wheel** distributions](python-package-distribution-files-sdist-wheel).
-To better understand your options, it's important to first understand the
-difference between a
-build tool front-end and build backend.
+## Build front-end vs. build back-end tools
 
-## Build front-end vs. build backend tools for Python packaging
+To better understand your options, when it comes to building a Python package, it's important to first understand the difference between a
+build tool front-end and build back-end.
 
 ### Build back-ends
 Most packaging tools have a back-end
-build tool that builds the package and creates associated
-(SDist and wheel) distribution files. Some tools, such as **Flit**, only
+build tool that builds you package and creates associated
+[(SDist and wheel) distribution files](python-package-distribution-files-sdist-wheel). Some tools, such as **Flit**, only
 support pure-Python package builds. A pure-Python build refers
 to a package build that does not have extensions that are written in another
-programming language (such as `C` or `C++`). These non-pure Python builds often
-have additional code compilation steps.
+programming language (such as `C` or `C++`).
 
 ```{note}
 **PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
@@ -63,10 +47,11 @@ learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specif
 )
 ```
 
-Other back-ends such as and **setuptools.build**, **meson.build**
+Other packages that have C and C++ extensions (or that wrap other languages such as fortran) require additional code compilation steps when built.
+Back-ends such as and **setuptools.build**, **meson.build**
 and **scikit-build** support complex builds with custom steps. If your
-build is particularly complex (ie you have more than a few `C`/`C++`
-extensions), we suggest you consider using **meson.build** or **scikit-build**.
+build is particularly complex (i.e. you have more than a few `C`/`C++`
+extensions), then we suggest you use **meson.build** or **scikit-build**.
 <!--
 ### Build front-ends
 
@@ -74,8 +59,7 @@ Build front-ends have a user-friendly interface that allow you to perform
 common Python packaging tasks such as building your package, creating an
 environment to run package tests and build documentation, and pushing to PyPI.
 
-Each front-end tool discussed below supports a slightly different set of Python
-packaging tasks.
+
 
 For instance, you can use **Flit**, **Hatch** and **PDM** to both build your
 package and to publish your package to PyPI (or test PyPI). However, if you
@@ -108,40 +92,35 @@ your workflow.
 Example build steps using setuptools:
 ======= -->
 
-
-## Build front-end vs. build back-end tools for Python packaging
-
 ### Python package build front-ends
 
 A packaging front-end tool refers to a tool that makes it easier for you to
-perform common packaging tasks using similar commands, such as:
+perform common packaging tasks using similar commands. These tasks include:
 
 * [Creating a Sdist and Wheel distribution](python-package-distribution-files-sdist-wheel)
 * Managing an environment or multiple environments in which you need to run tests and develop your package
 * Building documentation
 * Installing your package in a development mode (so it updates when you update your code)
+* Running tests
 * Publishing to PyPI
 
 There are several Python packaging tools that you can use for pure Python
-builds. Each tool
-offers slightly different sets of functionality to support your build.
+builds. Each front-end tool discussed below supports a slightly different set of Python
+packaging tasks.
 
 For instance, you can use the packaging tools **Flit**, **Hatch** or **PDM**
-to both build and publish your package to PyPI. However **Flit**
-does not support versioning or environment management. Only **Hatch** and
-**PDM** support those two features. If you want a tool that supports dependency
-locking, you may prefer to use **PDM**. **Hatch** does not currently offer
-dependency lock support.
+to both build and publish your package to PyPI. However while  **Hatch** and
+**PDM** support versioning and environment management, **Flit** does not. If you want a tool that supports dependency
+locking, you can use **PDM** or **Poetry** but not **Hatch**.
 
-**Setuptools** on the other hand is a build back end tool. You will need
-to use **twine** to publish to PyPI if you use setuptools.
+```{note}
+If you are using **Setuptools**, there is no user-friendly build front-end that performs multiple tasks. You will need to use **build** to build your package and **twine** to publish to PyPI.
+```
 
-If you are just getting started with packaging, then using a tool like **Flit**,
-**Hatch** or **PDM** will simplify your workflow.
 
 ### Example build steps that can be simplified using a front-end tool
 
-Example to build your package with **Hatch**:
+Below, you can see how a build tool streamlines your packaging experience. Example to build your package with **Hatch**:
 
 ```bash
 # Build your sDist and .whl files
@@ -155,36 +134,11 @@ Example build steps using **setuptools** and **build**:
 ```bash
 # Build the package
 python3 -m build
-# Check build
-twine check dist/*
+
 # Publish to test PyPI
 twine upload -r testpypi dist/*
 ```
 
-However each tool has different features and limits on the types of packaging
-steps that it supports.
-
-```{admonition} Pure Python Packages vs. packages with extensions in other languages
-
-You can classify Python package complexity into three general categories. These
-categories can in turn help you select the correct package front-end and
-back end tools.
-
-1.  **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
-has the features that you want and be done with your decision!
-2.  **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
-3. **Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
-or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
-
-On this page, we will focus on using front-end tools to package pure python
-packages. We will note if a package does have the flexibility to support other
-back-ends and in turn more complex builds (*mentioned in #2 and #3 above*).
-
-[If you are interested in tool support for non pure python builds, check out this
-page for resources.](complex-python-package-builds)
-```
-
 ### Build back-ends
 
 Most front-end packaging tools have their own back-end build tool. The build
@@ -200,8 +154,8 @@ pure Python builds. Other back ends support C and C++ extensions:
 
 * setuptools supports builds using C / C++ extensions
 * Hatchling supports C extensions via plugins that the developer creates to customize a build
-* PDM-pep517 supports C extensions by using setuptools
-* Poetry supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend exploring it now for tools with extensions written in other languages.
+* PDM's backend supports C / C++ extensions by using setuptools
+* Poetry supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex builds until it is documented.
 
 While we won't discuss more complex builds below, we will identify which tools
 allow for C and C++ extensions.
@@ -229,7 +183,7 @@ hood".
 Below we introduce several of the most commonly used Python packaging build
 tools (see chart below).
 
-:::{figure-md} fig-target
+:::{figure-md} pypa-survey-plot
 
 <img src="../images/python-package-tools-2022-survey-pypa.png" alt="Graph showing the results of the 2022 PyPA survey of Python packaging tools. On the x axis is percent response and on the y axis are the tools." width="700px">
 
@@ -263,7 +217,15 @@ workflow to support such extensions. It also supports other backends such as sci
 NOTE: You can also use Hatch but you will need to write your own plugin for this support.
 
 
-<!-- TODO: create build tool selection diagram -->
+<!-- TODO: create build tool selection diagram - https://www.canva.com/design/DAFawXrierc/O7DTnqW5fmMEZ31ao-TK9w/edit -->
+
+
+:::{figure-md} fig-target
+
+<img src="../images/python-package-tools-decision-tree.png" alt="ADD ME." width="700px">
+
+ADD ME
+:::
 
 <!-- ### Build tools for Python packages with complex build steps
 If your package is not pure Python, or it has complex build steps (or build
@@ -291,18 +253,19 @@ included in the table.
 :header: Feature, Flit, Hatch, PDM, Poetry
 :widths: 36, 10,10,10,10
 
-Default Build Back-end, Flit-core, Hatch-core, PDM, Poetry
+Default Build Back-end, Flit-core, Hatch-core, PDM, Poetry-core
 Use Other Build Backends,✖ , ✖,✅  ,✖
 Dependency management, ✖,✖,✅,✅
 Publish to PyPI, ✅,✅,✅,✅
-Version Control based versioning,✖,✅,✅,✖
+Version Control based versioning (using `git tags`),✖,✅,✅,✅
 Version bumping,✖,✅, ✅, ✅
-More than One maintainer?,✖,✖, ✖, ✅
+More than one maintainer? (bus factor),✖,✖, ✖, ✅
 ```
 
 Notes:
+
 * *Hatch plans to support using other backends and dependency management in the future*
-* Poetry supports semantic versioning. thus it will support version bumping following commit messages if you use a tool such as Python Semantic Release
+* Poetry supports semantic versioning. Thus, it will support version bumping following commit messages if you use a tool such as Python Semantic Release
 
 ## PDM
 
@@ -323,20 +286,22 @@ This means that you can run setuptools to compile and build C extensions. PDM's
 :widths: 20,5,50
 
 Use Other Build Backends, ✅, When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
-Dependency management & lock files ,✅,PDM and Poetry are currently the only two tools that support creating dependency lock files. Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
+Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. However their approach to locking files is different: Poetry uses an upper bound lock approach `^`. <!--Most users won't know what upper bound means--> PDM uses an open lock `>=` Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
 Select your environment manager of choice (conda; venv; etc),✅ , PDM allows you to select the environment manager that you want to use for managing your package.
 Publish to PyPI,✅,PDM supports publishing to both test PyPI and PyPI
 Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it's package which allows you to use dynamic versioning that rely on git tags.
 Version bumping, ✅ , PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
+Install your package in editable mode,✅,PDM supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
+Build your SDist and wheel distributions,✅,
 ```
 
 ```{admonition} PDM vs. Poetry
 The functionality of PDM is similar to Poetry. However, PDM also offers
 additional, documented support for C extensions and version control based
-versioning. If you are deciding, the main difference between these two tools
+versioning. If you are deciding between the two tools, the main difference between these two tools
 is that Poetry follows strict semantic versioning. Strict adherence to semantic
-versioning can be problematic in many cases (more on that below).
+versioning can be problematic in some cases (more on that below).
 ```
 
 ### Challenges with PDM
@@ -350,54 +315,44 @@ teams to be a potential risk. If the maintainer finds they no longer have time
 to work on the project, it leaves users with a gap in support. Hatch and Flit
 also have single maintainer teams.
 
-[You can view an example of a package that uses PDM here.](https://github.com/pyOpenSci/examplePy/tree/main/example4_pdm). The readme for this directly provides you with
+[You can view an example of a package that uses PDM here](https://github.com/pyOpenSci/examplePy/tree/main/example4_pdm). The README file for this directly provides you with
 an overview of what the PDM command line interface looks like when you use it.
 
 
 ## Flit
 
 [Flit is a no-frills, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
-
-If you have a pure Python project and don't need:
-
-* Any additional build steps for your package,
-* Support for dependency version pinning
-* support for version "bumping"
-
-Flit could be the tool for you. Flit is also a great choice if you are
-building a basic package to use in a local workflow.
+Flit is a great choice if you are
+building a basic package to use in a local workflow that doesn't require any advanced features. More on that below.
 
 ### Flit Features
 
-Flit can:
+```{csv-table}
+:header: Feature, Flit, Notes
+:widths: 20,5,50
 
-* Help you setup your **pyproject.tom**l metadata
-* Build your SDist and wheel distributions
-* Publish to testPyPI and PyPI
-* Install your package
+Publish to PyPI and test PyPI,✅,Flit supports publishing to both test PyPI and PyPI
+Helps you add metadata to your pyproject.toml file,✅, .
+Follows current packaging standards,✅,Flit supports current packaging standards for adding metadata to the **pyproject.toml** file.
+Install your package in editable mode,✅,Flit supports installing your package in editable mode. However it does use a slightly different syntax from the usual `pip install -e .` to do so.
+Build your SDist and wheel distributions,✅, .
+```
 
 ```{admonition} Learn more about flit
 * [Why use flit?](https://flit.pypa.io/en/stable/rationale.html)
 ```
 
-### Challenges with Flit:
-
-Flit does not offer:
-* Version Support: Flit uses the version from your package's ` __version__`.
-* Dependency Pinning
-* Environment support
+### Why you might not want to use Flit
 
 Because Flit is no frills, it is best for basic, quick builds. If you are a
 beginner you may want to select Hatch or PDM which will offer you more support
 in common operations.
-
-
-### Why you might not want to use Flit
 You may NOT want to use flit if:
 
-* You want to setup more advanced version tracking and management (using version control of version bumping)
+* You want to setup more advanced version tracking and management (using version control for version bumping)
 * You want a tool that handles dependency versions (use PDM instead)
 * You have a project that is not pure Python (Use Hatch, PDM or setuptools)
+* Version Support: Flit uses the version from your package's ` __version__`.
 
 ## Hatch
 
@@ -411,40 +366,45 @@ using a tool like **Make** or **Nox**.
 
 ### Hatch features
 
-Hatch features include:
+```{csv-table}
+:header: Feature, Hatch, Notes
+:widths: 20,5,50
 
-* Version control based versioning using **hatch-vcs**. (If you are familiar with setuptools_scm hatch wraps around that tool.)
-* Publish to PyPI
-* Build your package SDist and Wheel locally.
-* Create an environment and install your package in development mode
-* Matrix environment creation to support testing across Python versions
-* [Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)
-where you can create workflows in the **pyproject.toml** configuration to do things
-like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow
+Use Other Build Backends,✖, Switching out build back ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
+Dependency management,✅,Hatch can help you add dependencies to your `pyproject.toml` metadata.
+**??does hatch support this - i forget?** Select your environment manager of choice (conda; venv; etc),✅ , Hatch allows you to select the environment manager that you want to use for managing your package.
+Publish to PyPI and test PyPI,✅,Hatch supports publishing to both test PyPI and PyPI
+Version Control based versioning,✅ , Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
+Version bumping, ✅ , Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards,✅,Hatch supports current packaging standards for adding metadata to the **pyproject.toml** file.
+Install your package in editable mode,✅,Hatch supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
+Build your SDist and wheel distributions,✅, Hatch will build the SDist and wheel distributions
+✨Matrix environment creation to support testing across Python versions✨,✅, The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
+✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨, ✅, This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
+✨A flexible build backend: **hatchling**✨, ✅, **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
 
-<!-- QUESTION: Does hatch allow you to use other envt managers like conda?? i don't see that it does
-so it might be similar to Poetry in that regard -->
+```
 
-### Advanced features:
-* A flexible build backend, **hatchling**, that allows developers to add plugins that can be used to customize a build.
+_** There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility_
 
+<!-- QUESTION: Does hatch allow you to use other envt managers like conda?? i don't see that it does
+so it might be similar to Poetry in that regard -->
 
-### Challenges with Hatch
+### Why you might not want to use Hatch
 
 There are a few features that hatch is missing that may be important for some.
 These include:
 
 Hatch:
-* Doesn't support dependency "pinning" and management
+* Doesn't support dependency "pinning"
 * Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
-Python, this won't be an issue.
+Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
 * Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
 * Hatch doesn't provide an end to end beginning workflow in it's documentation.
 * Hatch, similar to PDM and Flit currently only has one maintainer.
 
 ```{note}
-While Hatch does have some "opinions" about how parts of the packaging build
-run, you can customize any aspect of its build.
+You can customize any aspect of the Hatch build by creating plugins.
 ```
 
 ## Poetry
@@ -453,35 +413,30 @@ run, you can customize any aspect of its build.
 the second most popular front-end packaging tool (based upon the PyPA survey).
 Poetry is user-friendly and has clean and easy-to-read documentation.
 
+```{note}
 While some have used Poetry for Python builds with C/C++ extensions, this support
 is currently undocumented. Thus we don't recommend it for more complex builds.
-
+```
 
 ### Poetry features
 
-* Publish to PyPi and Test PyPI
-* Builds your package's SDist and Wheel distribution files
-* Version bumping at the command line
-* Poetry offers dependency "pinning" however it does so in a way that can be problematic - read below for more
-* [Built in environment management with options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment) to either use your own environment or to create an environment in your local directory <!-- will it recognize a conda envt?? -->
-* Offers support for [both a src/ and flat layout](python-package-structure.md)
-* Installs you package in editable mode (using `--editable`)
-* Allows you to organize dependencies in groups: docs, package, tests etc
+```{csv-table}
+:header: Feature, Poetry, Notes
+:widths: 20,5,50
 
+Dependency management,✅,Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
+Dependency pinning,✖✅ ,Poetry offers dependency "pinning" however, it does so in a way that can be problematic for some packages. Read below for more.
+Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or  select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
+Publish to PyPI and test PyPI,✅,Poetry supports publishing to both test PyPI and PyPI
+Version Control based versioning,✅ , The plugin (Poetry dynamic versioning)[https://github.com/mtkennerly/poetry-dynamic-versioning] supports versioning using git tags with Poetry.
+Version bumping, ✅ , Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards,✖✅,Poetry does not quite support current packaging standards for adding metadata to the **pyproject.toml** file but plans to fix this in an upcoming release.
+Install your package in editable mode,✅,Poetry supports installing your package in editable mode using `--editable`
+Build your SDist and wheel distributions,✅,
+```
 
 ### Challenges with Poetry
 
-There are some features that Hatch and PDM offer that Poetry does not.
-
-Hatch: offers matrix environment management that allows you to run tests across
-Python versions. It also offers a Nox / Make file like tool to streamline your
-build workflow.
-PDM: does not offer matrix environments of Nox / Makefile like tools. It does
-offer dependency management but adheres to a >= approach when pinning. This
-avoids the issue described below with Poetry's upper bound pinning.
-
-
-
 Some challenges of poetry include:
 
 * Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol. See breakout below for more regarding why this is potentially problematic.
@@ -509,7 +464,70 @@ This approach also won't support over ways of versioning tools, for instance,
 some tools use [calver](https://calver.org/) which creates new versions based on the date.
 ```
 
-<!--todo: look at eli's comments about this-->
+```{admonition} where does this belong?
+:class: note
+There are some features that Hatch and PDM offer that Poetry does not.
+
+Hatch: offers matrix environment management that allows you to run tests across
+Python versions. It also offers a Nox / Make file like tool to streamline your
+build workflow.
+PDM: does not offer matrix environments of Nox / Makefile like tools. It does
+offer dependency management but adheres to a >= approach when pinning. This
+avoids the issue described below with Poetry's upper bound pinning.
+```
+
+## Using Setuptools Back-end for Python Packaging
+
+[Setuptools](https://setuptools.pypa.io/en/latest/) is the most
+mature Python packaging build tool with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#).
+Setuptools also has the largest number of community users (according to the PyPA
+survey). Setuptools does not offer a user
+front-end like Flit, Poetry and Hatch offer. As such you will need to use other
+tools such as **build** to create
+your package distributions and **twine** to publish to PyPI.
+
+While setuptools is the most commonly used tool, we encourage package maintainers
+to consider using a more modern tool for packaging such as Poetry, Hatch or PDM.
+
+We discuss setuptools here because it's commonly found in the ecosystem and
+contributors may benefit from understanding it.
+
+### Setuptools Features
+
+Some of features of setuptools include:
+
+* Fully customizable build workflow
+* Many scientific Python packages use it.
+* It offers version control based package versioning using **setuptools_scm**
+* It supports modern packaging using **pyproject.toml** for metadata
+* Supports backwards compatibly for older packaging approaches.
+
+### Challenges using setuptools
+
+Setuptools has a few challenges:
+
+* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
+not as flexible in its adoption of modern Python packaging
+standards.
+* The above-mentioned backwards compatibility makes for a more complex code-base.
+* Your experience as a user will be less streamlined and simple using setuptools compared to other tools discussed on this page.
+
+There are also some problematic default settings that users should be aware of
+when using setuptools. For instance:
+
+* setuptools will build a project without a name or version if you are not using a **pyproject.toml** file
+to store metadata.
+*Setuptools also will include all of the files in your package
+repository if you do not explicitly tell it to exclude files using a
+**MANIFEST.in** file
+
+
+
+
+<!-- From stefan: build, run tests on built version, load the built version into
+Python (?how is this different from install??), make editable install, build
+wheel, build sdist -->
+
 
 
 <!--
@@ -570,48 +588,3 @@ dev = [
 ]
 ```
 -->
-
-## Using Setuptools Back-end for Python Packaging
-
-[Setuptools](https://setuptools.pypa.io/en/latest/) is the most
-mature Python packaging build tool with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#).
-Setuptools also has the largest number of users. Setuptools does not offer a user
-front-end like Flit, Poetry and Hatch offer. As such you will need to use other
-tools such as **build** to create
-your package distributions and **twine** to publish to PyPI.
-
-While setuptools is the most commonly used tool, we encourage package maintainers
-to consider using a more modern tool for packaging such as Hatch or PDM.
-
-We discuss setuptools here because it's commonly found in the ecosystem and
-contributors may benefit from understanding it.
-
-### Potential benefits of setuptools
-
-Some of features of setuptools include:
-
-* Fully customizable build workflow
-* Many scientific Python focused packages use it.
-* If offers version control based package versioning using **setuptools_scm**
-* Supports modern packaging using **pyproject.toml** for metadata
-* Supports backwards compatibly for older packaging approaches.
-
-### Challenges using setuptools
-
-Setuptools has a few challenges:
-
-* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
-not as flexible in its adoption of modern Python packaging
-standards.
-* The above-mentioned backwards compatibility makes for a more complex code-base.
-* Your experience as a user will be less streamlined and simple using setuptools compared to other tools discussed on this page.
-
-There are also some problematic default settings that users should be aware of
-when using setuptools. For instance,
-
-* setuptools will build a
-project without a name or version if you are not using a **pyproject.toml** file
-to store metadata.
-*Setuptools also will include all of the files in your package
-repository if you do not explicitly tell it to exclude files using a
-**MANIFEST.in** file
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index 5b82be49..b4e7395b 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -115,7 +115,7 @@ https://scikit-hep.org/developer/pep621
 A wheel or `.whl` file, is a zipped file that has
 the extension `.whl`. The wheel does not contain any of your packages
 configuration files such as **setup.cfg** or **pyproject.toml**. This distribution
-is a pre-build, ready-to-install format.
+is already built so it's ready to install.
 
 Because it is prebuilt, the wheel file will be faster to install for pure Python
 projects and can lead to consistent installs across machines.
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 78d785d0..97339154 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -255,7 +255,7 @@ of values. It has two keys that specify the build front end and backend for a pa
 
 ```
 [build-system]
-requires = ["setuptools>=45", "wheel", "setuptools_scm[toml]>=6.2"]
+requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
 build-backend = "setuptools.build_meta"
 
 [project]

From 4db3074f3c977a45765da5bdda77da0e7a4bee65 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Feb 2023 17:33:40 -0700
Subject: [PATCH 04/42] Add: more edits from massive pr

Update package-structure-code/python-package-structure.md

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>

Phew! so many comments - more edits and cleanup pyproj page
---
 .../complex-python-package-builds.md          |  72 +++-
 package-structure-code/intro.md               |   1 +
 .../pyproject-toml-python-package-metadata.md | 142 ++++++++
 .../python-package-build-tools.md             |  69 ++--
 ...-package-distribution-files-sdist-wheel.md |  68 ++--
 .../python-package-structure.md               | 336 +++++++-----------
 6 files changed, 410 insertions(+), 278 deletions(-)
 create mode 100644 package-structure-code/pyproject-toml-python-package-metadata.md

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 04e71af6..c8c0e0f9 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -1,13 +1,57 @@
 # Complex Python package builds
 
+This guide is focused on packages that are either pure-python or that
+have a few simple extensions in another language such as C or C++.
+
+If your package is more complex, [you may want to refer to this guide
+created by Ralf Gommers on Python packaging.](https://pypackaging-native.github.io/)
+
+## Pure Python Packages vs. packages with extensions in other languages
+
+You can classify Python package complexity into three general categories. These
+categories can in turn help you select the correct package front-end and
+back end tools.
+
+1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
+has the features that you want and be done with your decision!
+2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
+supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
+3.**Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
+
+
+<!--
+On this page, we will focus on using front-end tools to package pure python
+packages. We will note if a package does have the flexibility to support other
+back-ends and in turn more complex builds (*mentioned in #2 and #3 above*). -->
+<!--
+## COmbine the two sets of statement below...
+ELI:
+PDM supports C/Cython extensions too: https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
+
+It does this by allowing you to write a python script that gets injected into a setuptools build process :) so that's not necessarily the greatest choice. It's a bit like using setuptools directly. ;)
+
+Ralf:
+Hatch only supports pure Python packages as of now. setuptools is still a very reasonable choice, and okay if all you have is a few C/Cython extensions. But I'd say you should probably recommend meson-python and scikit-build-core as the two best tools for building packages containing compiled extensions.
+
 
 * link to ralf's blog and book on complex builds
 * keep this page high level so we don't get weight downsides
 * can use the examplePy repo stefan and I are working on that will test various build combinations
 
+*****
+
+ELI: It would be more accurate to say that PDM supports using PDM and setuptools at the same time, so you run setuptools to produce the C extensions and then PDM receives the compiled extension files (.so, .pyd) and packages it up alongside the pure python files.
+
+Hatch - https://hatch.pypa.io/latest/config/build/#build-hooks uild hooks
 
+Ralf -
+Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build backend hooks in pyproject.toml, it's pretty much a dead end.
+****
 
 
+ HEnry: Poetry will move to PEP 621 configuration in version 2.
+
 * pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
 * poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook. so while some have used it with other back end builds it's not ideal for this application
 * pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
@@ -25,6 +69,14 @@ part of your packaging steps. These tools also support some C and C++
 extensions.
 
 
+OFEK - Why use hatchlin vs pdm back end -
+File inclusion is more configurable and easier by default
+There is already a rich ecosystem of plugins and a well-thought-out interface
+Consistency since the official Python packaging tutorial uses Hatchling by default
+
+
+Henry -
+The scikit-hep cookie provides 11 backends including flit-core and hatchling, and I've moved packaging to flit-core, and lots of other things to hatchling, and I can say that hatching's defaults are much nicer than flit-core's. Hatching uses .gitignore to decide what to put in the SDist. Flit-core basically tries to keep its hands off of adding defaults, so you have to configure everything manually. To make it even more confusing, if you use flit instead of a standard tool like build, it will switch to using VCS and those ignored files won't be added - meaning it is really easy to have a project that doesn't support build, including various GitHub Actions. Hatchling wins this by a ton.
 
 <!-- TODO: add - compatible with other build back ends eg pdm can work with hatchling
 
@@ -59,9 +111,7 @@ CORRECTIONS:
 pdm doesn't use plugins. Hatch does.
 pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
 
--->
 
-```{note}
 ??
 Poetry supports extensions written in other languages but this functionality is
 currently undocumented.
@@ -74,4 +124,20 @@ package builds.
 Some front-end packaging tools, such as PDM, allow you to use other
 build back-ends such as **meson** and **scikit-build**.
 
-```
+
+me:
+pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
+poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook.
+PDM and hatch both offer a plugin type approach to support custom build steps
+PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
+@eli-schwartz eli-schwartz 3 weeks ago
+PDM and hatch both offer a plugin type approach to support custom build steps
+
+ELI:
+pdm doesn't use plugins. Hatch does.
+pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
+
+
+https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
+-->
diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index f25e9e31..a02e253e 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -95,6 +95,7 @@ the `src` directory.
 Intro <self>
 
 Python package structure <python-package-structure>
+pyproject.toml Package Metadata <pyproject-toml-python-package-metadata>
 What are SDist & Wheel Files? <python-package-distribution-files-sdist-wheel>
 Package Build Tools <python-package-build-tools>
 Complex Builds <complex-python-package-builds>
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
new file mode 100644
index 00000000..834af50b
--- /dev/null
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -0,0 +1,142 @@
+# Use a pyproject.toml file for your package configuration & metadata
+
+The standard file that Python packages use to specify build requirements and
+metadata is called a pyproject.toml. The pyproject.toml file has become the
+standard for declaring Python package metadata (including dependencies) rather
+than using a setup.py file (or a setup.py + setup.cfg file).
+
+As such you should try to [include all project based metadata and build system specifications in a `pyproject.toml` file.](https://packaging.python.org/en/latest/specifications/declaring-project-metadata/) Using setup.py to manage both package set up and
+hold metadata [can cause problems with package development.](https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html)
+
+
+```{admonition} Benefits of using a pyproject.toml file
+:class: tip
+
+1. Because setup.py has a mixture of code and metadata, it will be run twice when
+building your package. First it will be run to extract metadata (dependencies). Then it will be run to build your package.
+1. Including your package's metadata in a separate human-readable `pyproject.toml` format also allows someone to view the project's metadata without
+running any Python code.
+```
+
+A pyproject.toml is written in [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/). TOML is an easy-to-read structure that is founded on key: value pairs.
+
+Each section in the pyproject.toml file contains a `[table identifier]`.
+Below that table identifier are key value pairs that
+support configuration for that particular table.
+
+<!-- setup.cfg for project metadata is being deprecated - set setuptools guide and
+https://setuptools.pypa.io/en/latest/userguide/pyproject_config.html
+pypa -
+https://packaging.python.org/en/latest/specifications/declaring-project-metadata/ -->
+
+```{note}
+<!-- [PEP518 describes the move away from setup.py to the pyproject.toml file.](https://peps.python.org/pep-0518/) -->
+Python package standards are moving away from including both package metadata
+and Python code needed to set up a package in the same **setup.py** file.
+Instead we are moving towards using a **proproject.toml** file.
+
+In some cases where a build is complex, a **setup.py** file may still be
+required. While this guide will not cover complex builds, we will provide
+resources working with complex builds in the future.
+
+<!-- https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1071541329
+ELI: A complex build could mean running a python script that processes some data file and produces a pure python module file.
+
+Probably not common in the scientific community specifically, but I've seen quite a few setup.py files that contain custom build stages which e.g. build gettext locale catalogs.
+
+The main point is that it is more "complex" than simply copying files or directories as-is into the built wheel.
+-->
+```
+
+## Example pyproject.toml
+
+Below is an example build configuration for a Python project. This setup
+requires:
+
+* **setuptools** to create the package structure,
+* **wheel** which is used by `setuptools` to create the [**.whl** (wheel) file](https://realpython.com/python-wheels/).
+* **setuptools build** to "build" the package
+* **setuptools_scm** to manage package version updates
+
+In the example below `[build-system]` is the first table
+of values. It has two keys that specify the build front end and backend for a package:
+
+1. `requires =`
+1. `build-backend =`
+
+```
+[build-system]
+requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "examplePy"
+authors = [
+    {name = "Some Maintainer", email = "some-email@pyopensci.org"}
+]
+maintainers = [{name = "All the contributors"}]
+license = {text = "BSD 3-Clause"}
+description = "An example Python package used to support Python packaging tutorials"
+keywords = ["pyOpenSci", "python packaging"]
+readme = "README.md"
+
+dependencies = [
+    "dependency-package-name-1",
+    "dependency-package-name-2",
+]
+```
+
+
+Notice that you also can specify dependencies in this file.
+
+
+A major benefit of the pyproject.toml file is that it makes is transparent
+
+1. what build system you are using to create your package
+2. what dependencies you need
+
+
+The package metadata including authors, keywords, etc is also easy to read.
+Below you can see the same toml file that uses a different build system (PDM).
+Notice how simple it is to swap out the tools needed to build this package!
+
+```
+[build-system]
+requires = ["pdm-pep517>=1.0.0"]
+build-backend = "pdm.pep517.api"
+
+[project]
+name = "examplePy"
+authors = [
+    {name = "Some Maintainer", email = "some-email@pyopensci.org"}
+]
+maintainers = [{name = "All the contributors"}]
+license = {text = "BSD 3-Clause"}
+description = "An example Python package used to support Python packaging tutorials"
+keywords = ["pyOpenSci", "python packaging"]
+readme = "README.md"
+
+dependencies = [
+    "dependency-package-name-1",
+    "dependency-package-name-2",
+]
+```
+
+
+
+```{note}
+[Click here to read about our packaging documentation requirements.](/package-structure-code/python-package-build-tools)
+```
+
+<!-- TODO: add link to section on build tools when it exists and
+turn this into button:
+
+We discuss build tools for python package more here.
+-->
+
+
+
+<!-- TODO:
+1. add some links to packages that are using a purely toml config
+1. link to our example package once it's further along
+-->
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 89bb17ad..0e47706a 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -1,32 +1,27 @@
 # Python Package Build Tools
 
-There are a suite of build tools that you can use to [create your Python package's **SDist** and *Wheel* distributions](python-package-distribution-files-sdist-wheel). Below, we discuss the features,
+<!-- TODO: add a small discussion on what pinning is?-->
+
+There are a several different build tools that you can use to [create your Python package's *SDist* and *Wheel* distributions](python-package-distribution-files-sdist-wheel). Below, we discuss the features,
 benefits and limitations of the most commonly used Python packaging tools.
 We focus on pure-python packages in this guide. However, we also
 highlight tools that currently support packages with C/C++ and other language
 extensions.
 
 
-```{admonition} Pure Python Packages vs. packages with extensions in other languages
+<!-- TODO: create build tool selection diagram - https://www.canva.com/design/DAFawXrierc/O7DTnqW5fmMEZ31ao-TK9w/edit -->
 
-You can classify Python package complexity into three general categories. These
-categories can in turn help you select the correct package front-end and
-back end tools.
 
-1.  **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
-has the features that you want and be done with your decision!
-2.  **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
-3. **Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
-or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
+:::{figure-md} fig-target
 
-On this page, we will focus on using front-end tools to package pure python
-packages. We will note if a package does have the flexibility to support other
-back-ends and in turn more complex builds (*mentioned in #2 and #3 above*).
+<img src="../images/python-package-tools-decision-tree.png" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
 
-[If you are interested in tool support for non pure python builds, check out this
-page for resources.](complex-python-package-builds)
-```
+Diagram showing the various from end build tools that you can select from. Each tool has different features as highlighted below.
+NOTE: this is still a DRAFT so i'm not going to spend time truly cleaning it up until i get lots of feedback on the general approach!!
+:::
+
+If you want to know more about Python packages that have extensions written in
+other languages, [check out the page on complex package builds.](complex-python-package-builds)
 
 ## Build front-end vs. build back-end tools
 
@@ -97,12 +92,12 @@ Example build steps using setuptools:
 A packaging front-end tool refers to a tool that makes it easier for you to
 perform common packaging tasks using similar commands. These tasks include:
 
-* [Creating a Sdist and Wheel distribution](python-package-distribution-files-sdist-wheel)
-* Managing an environment or multiple environments in which you need to run tests and develop your package
-* Building documentation
+* [Build your packages (create the SDist and Wheel distributions](python-package-distribution-files-sdist-wheel)
 * Installing your package in a development mode (so it updates when you update your code)
-* Running tests
 * Publishing to PyPI
+* Running tests
+* Building documentation
+* Managing an environment or multiple environments in which you need to run tests and develop your package
 
 There are several Python packaging tools that you can use for pure Python
 builds. Each front-end tool discussed below supports a slightly different set of Python
@@ -129,13 +124,13 @@ hatch build
 # Example to publish to PyPI:
 hatch publish --repository testpypi
 ```
-Example build steps using **setuptools** and **build**:
+Example build steps using the **setuptools** backend and **build**:
 
 ```bash
 # Build the package
 python3 -m build
 
-# Publish to test PyPI
+# Publish to test PyPI using twine
 twine upload -r testpypi dist/*
 ```
 
@@ -195,7 +190,7 @@ The Python developers survey results (n=>8,000 PyPI users) show setuptools and p
 
 The tools that we review below include:
 
-* setuptools + twine, build
+* Twine, Build + setuptools
 * Flit
 * Hatch
 * PDM
@@ -217,15 +212,6 @@ workflow to support such extensions. It also supports other backends such as sci
 NOTE: You can also use Hatch but you will need to write your own plugin for this support.
 
 
-<!-- TODO: create build tool selection diagram - https://www.canva.com/design/DAFawXrierc/O7DTnqW5fmMEZ31ao-TK9w/edit -->
-
-
-:::{figure-md} fig-target
-
-<img src="../images/python-package-tools-decision-tree.png" alt="ADD ME." width="700px">
-
-ADD ME
-:::
 
 <!-- ### Build tools for Python packages with complex build steps
 If your package is not pure Python, or it has complex build steps (or build
@@ -276,7 +262,9 @@ support for projects that have C and C++ extensions.
 ```{admonition} PDM support for C and C++ extensions
 
 PDM supports using the PDM-backend and setuptools at the same time.
-This means that you can run setuptools to compile and build C extensions. PDM's build backend receives the compiled extension files (.so, .pyd) and packages them with the pure Python files.
+This means that you can run setuptools to compile and build C extensions.
+PDM's build backend receives the compiled extension files (.so, .pyd) and
+packages them with the pure Python files.
 ```
 
 ### PDM Features
@@ -294,6 +282,7 @@ Version bumping, ✅ , PDM supports you bumping the version of your package usin
 Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
 Install your package in editable mode,✅,PDM supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
 Build your SDist and wheel distributions,✅,
+✨Optional use of PEP 582 / local environment directory✨,✅, PDM is currently the only tool that optionally supports PEP 582 (havig a local environment configuration stored within a `__packages__` directory in your working package directory).
 ```
 
 ```{admonition} PDM vs. Poetry
@@ -396,7 +385,7 @@ There are a few features that hatch is missing that may be important for some.
 These include:
 
 Hatch:
-* Doesn't support dependency "pinning"
+* Doesn't support dependency pinning
 * Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
 Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
 * Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
@@ -425,7 +414,7 @@ is currently undocumented. Thus we don't recommend it for more complex builds.
 :widths: 20,5,50
 
 Dependency management,✅,Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
-Dependency pinning,✖✅ ,Poetry offers dependency "pinning" however, it does so in a way that can be problematic for some packages. Read below for more.
+Dependency pinning,✖✅ ,Poetry offers dependency pinning however it does so in a way that can be problematic for some packages. Read below for more.
 Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or  select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
 Publish to PyPI and test PyPI,✅,Poetry supports publishing to both test PyPI and PyPI
 Version Control based versioning,✅ , The plugin (Poetry dynamic versioning)[https://github.com/mtkennerly/poetry-dynamic-versioning] supports versioning using git tags with Poetry.
@@ -435,9 +424,10 @@ Install your package in editable mode,✅,Poetry supports installing your packag
 Build your SDist and wheel distributions,✅,
 ```
 
+<!-- TODO: update this given responses here: https://github.com/python-poetry/poetry/discussions/7525 -->
 ### Challenges with Poetry
 
-Some challenges of poetry include:
+Some challenges of Poetry include:
 
 * Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol. See breakout below for more regarding why this is potentially problematic.
 * Doesn't support version control based versioning
@@ -446,6 +436,9 @@ Some challenges of poetry include:
 Poetry is an excellent tool. Use caution when pinning dependencies as
 Poetry's approach to pinning has been showing to be problematic for many builds.
 
+<!--https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750
+discusses the slight differences in how poetry adds deps....-->
+
 ```{admonition} Challenges with Poetry dependency pinning
 :class: important
 
@@ -464,7 +457,7 @@ This approach also won't support over ways of versioning tools, for instance,
 some tools use [calver](https://calver.org/) which creates new versions based on the date.
 ```
 
-```{admonition} where does this belong?
+```{admonition} Hatch vs PDM vs Poetry
 :class: note
 There are some features that Hatch and PDM offer that Poetry does not.
 
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index b4e7395b..2ad7261c 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -1,20 +1,22 @@
-<!-- TODO: break out into new page so this focuses just on tools -->
-# What is a SDist and Wheel? About Python Package Distribution Files
+# The Python Package Source and Wheel Distributions
 
-This pages will help you understand the two core packaging files
+There are two core distribution files
 that you need to create to publish your Python package to
-PyPI - the Source Distribution (SDist) and the Wheel (.whl).
+PyPI:
+
+1. a Source Distribution (SDist)
+2. a Wheel (.whl).
 
 ## Source vs. Binary Files
 
-To begin, it's important to understand the two "types" of
-distribution files. When it comes to packaging, you can think about files as either source or
-binary:
+It's important to understand the two "types" of distribution files. You can
+think about files as either source or binary:
 
 **Source files:** source files are the unbuilt files needed to build your
 package. These are the "raw / as-is" files that you store on GitHub or whatever
 platform you are using to manage your code repository.
-**Binary files:** binary files are the source files after they've been built. These files have been compiled (if they require compilation) and are ready
+**Binary files:** binary files are the source files after they've been built.
+These files have been compiled (if they require compilation) and are ready
 to be installed.
 
 ### Python package distribution types: SDist and Wheels
@@ -34,13 +36,15 @@ build / compilation steps then the SDIST and Wheel files will have
 similar content.
 ```
 
-### What is a SDist file?
+### What is a source distribution (SDist)?
+
+**S**ource **D**istributions, referred to as SDist, is a set of files saves as
+a `.tar.gz` archive (often called a "tarball"). The SDist has all of the files
+needed to build your
+package. As the name implies, a SDIST contains the source code; it has not been
+built or compiled in any way. Thus, when a user installs your source
+distribution using pip, pip needs to run a build step first.
 
-SDist, short for **S**ource **D**istribution file is a packaged file in `.tar.gz`
-format (often called a "tarball") that has all of the files needed to build your
-package. In the SDist format, your package's files are not included in a built
-format. Thus, anyone using this file, will have to build the files first before
-they can be installed.
 
 <!-- TODO: will work on cleaning up this after adding MANIFEST and then
 add a section on the MANIFEST file for packaging and link to
@@ -93,9 +97,13 @@ stravalib-1.1.0.post2-SDist.tar.gz file contents
 
 ```
 
-```{tip}
-When you make a release on GitHub, it creates a SDist file (`.tar.gz`) that
-anyone can download and use.
+```{admonition} GitHub archive vs SDist
+:class: tip
+When you make a release on GitHub, it creates a `git archive` that contains all
+of the files in your GitHub repository. While these files are similar to an
+SDist, these two archives are not the same. The SDist contains a few other
+items including a metadata directory and if you use `setuptools_scm` or `hatch_vcs`
+the SDist will also contain a `_version.py` file.
 ```
 
 <!--
@@ -112,20 +120,32 @@ https://scikit-hep.org/developer/pep621
 
 ### Wheel (.whl files):
 
-A wheel or `.whl` file, is a zipped file that has
-the extension `.whl`. The wheel does not contain any of your packages
-configuration files such as **setup.cfg** or **pyproject.toml**. This distribution
-is already built so it's ready to install.
+A wheel file is a ZIP-format archive whose filename follows a specific format
+(below) and has the extension `.whl`. The `.whl` archive contains a specific
+set of files, including metadata that are generated from your project's
+pyproject.toml file. The pyproject.toml and other files that may be included in
+source distributions are not included in wheels because it is a built
+distribution.
+
+ The wheel does not contain any of your
+packages configuration files such as **setup.cfg** or **pyproject.toml**. This
+distribution is already built so it's ready to install.
 
-Because it is prebuilt, the wheel file will be faster to install for pure Python
+Because it is built, the wheel file will be faster to install for pure Python
 projects and can lead to consistent installs across machines.
 
+
+<!-- TODO - i need to clarify this as i've gotten mixed feedback on the
+real security issues with this IF the whl is already built and that file isn't
+included what is the issue? i need more input here-->
+
+
 ```{tip}
 Wheels are also useful in the case that a package
-needs a **setup.py** file to support a more complex built.
+needs a **setup.py** file to support a more complex build.
 In this case, because the files in the wheel bundle
 are pre built, the user installing doesn't have to
-work about malicious code injections when it is installed.
+worry about malicious code injections when it is installed.
 ```
 
 The filename of a wheel contains important metadata about your package.
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 97339154..96008009 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,137 +1,62 @@
 # Python Package Structure for Scientific Python Projects
 
-There are two different general layouts that you will commonly see
+There are two different layouts that you will commonly see
 within the Python packaging ecosystem:
-[src and flat layouts (click here to learn more).](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
-We believe that both layouts have advantages.
-The Python packaging authority advocates for the [**src/** layout](https://py-pkgs.org/04-package-structure),
-in their tutorials.
+[src and flat layouts.](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
+Both layouts have advantages for different groups of maintainers.
 
-```{important}
-pyOpenSci however will never require a specific package structure for its
-peer review process. The overview on this page presents recommendations.
-```
-
-Below you will learn about the pros and cons of both layouts.
-
-Currently most scientific packages use the **flat-layout** given:
-
-* It's the most commonly found layout with the scientific Python ecosystem
-* Many Python tools depend upon tools in other language and / or complex builds
-with compilation steps. Many developers thus appreciate features of the flat
-layout such as tests being included with the package when they are installed) to
-support troubleshooting across installations.
+On this page you will learn more about both layouts.
+Here we:
 
- In the end, the advantages of using the **src/** layout for scientific packages
- that already use this approach do not
- outweigh the maintenance cost that a large cultural change in
- package structure would bring to existing maintainers the scientific
- Python ecosystem.
+1. Suggest the **src/package-name** layout structure for new packages. This layout prevents some commonly found issues with the flat layout (discussed below)
+2. Introduce the flat layout as it is used in the scientific ecosystem. Currently this layout is the most common. As such it's good to be familiar with it in case you contribute to a package using a flat layout in the future! wOr you maintain one now!
 
+```{important}
+pyOpenSci however will never require a specific package structure for its
+peer review process. We understand that it would be tremendous effort for existing
+maintainers to move to a new layout.
 
-```{admonition} Core scientific Python packages that use the flat layout
-:class: tip
-
-* [numpy](https://github.com/numpy/numpy)
-* [scipy](https://github.com/scipy/scipy)
-* [pandas](https://github.com/pandas-dev/pandas)
-* [xarray](https://github.com/pydata/xarray)
-* [Jupyter-core](https://github.com/jupyter/jupyter_core)
-* [Jupyter notebook](https://github.com/jupyter/notebook)
-* [scikit-learn](https://github.com/scikit-learn/scikit-learn)
-
-It would be a significant maintenance cost and burden to move all of these
-packages to a different layout. The potential benefits of the source layout
-for these tools is not worth the maintenance investment. To avoid dividing the
-scientific Python community,
-pyOpenSci supports maintainers using a flat layout for scientific packages.
+The overview on this page presents recommendations that may be particularly useful
+for those getting started with Python packaging.
 ```
 
-## What does the flat layout structure look like?
-
-The flat layout's primary characteristics are:
-
-* The source code for your package lives in a directory with your package's
-name in the root of your directory
-* Often the `tests/` directory also lives within that same `package-name` directory.
+## The src/ layout for Python packages
 
-Below you can see the recommended structure of a scientific Python package
-using the flat layout.
+The **src/package-name** layout is included in the [PyPA packaging guide](https://packaging.python.org/en/latest/tutorials/packaging-projects/). It is also the approach that we suggest
+for new maintainers. We suggest the src/package-name layout because it makes it
+easier for you to create a package build workflow that tests your package
+as it will be installed on a users computer.
 
-```bash
-myPackage/
-├── CHANGELOG.md             ┐
-├── CODE_OF_CONDUCT.md       │
-├── CONTRIBUTING.md          │
-├── docs/                    │ Package documentation
-│   └── ...                  │
-├── LICENSE                  │
-├── README.md                ┘
-├── pyproject.toml           ] Package metadata and build configuration
-|   myPackage/               ┐
-│     ├── __init__.py        │ Package source code
-│     ├── moduleA.py         │
-│     └── moduleB.py         ┘
-      tests/                 ┐
-        └── test-file1.py    | Package tests
-        └── ....             ┘
-```
+The key characteristic of this layout is that your package
+uses a `src/package-name` directory structure. With this layout it is also common
+to include your `tests/` directory outside of the package
+directory. However, you may see some packages
+that includes tests within the `src/package-name` directory.
 
+```{admonition} Example scientific packages that use **src/package-name** layout
 
-```{note}
-If you look at
-[the `matplotlib` repository on GitHub](https://github.com/matplotlib/matplotlib),
-you will notice it too has a src/ directory, however
-that structure is there because `matplotlib` has uncompiled source code in that
-directory. it is not adhering to the **src/** layout explicitly.
+* [Sourmash](https://github.com/sourmash-bio/sourmash)
+* [openscm](https://github.com/openscm/openscm-runner)
+* [awkward](https://github.com/scikit-hep/awkward)
 ```
 
-### Benefits of using the flat layout in your Python package
-
-There are some benefits to the scientific community in using the flat layout.
-
-* This structure has historically been used across the ecosystem and packages
-using it are unlikely to change. Thus, you'd be following a convention that many
-packages use already.
-* This structure is simpler to setup to support packaging compared to the `src/`
-approach given the package source code is in the root directory. This means that
-your package will be "found" by build back-ends automagically.
-* You can directly install the package directly from the root directory.
-* Tests are shipped with your package. This allows developers to invoke tests on
-various machines to troubleshoot installations if needed. (This could easily
-be implemented using a `src/` layout too!)
-
-### The `src/` layout for Python packages
-
-The `src/` layout is another option to structure you Python package. This layout
-is advocated for by the [PyPA](https://packaging.python.org/en/latest/tutorials/packaging-projects/)
-The key characteristic of this layout is that your package
-uses a `src/package-name` directory structure. Tests are
-often located in a directory outside of the package (but they don't have to be).
-
 #### Pros of the src/ layout
 
-The benefits of the `src/` layout approach include:
+The benefits of the  **src/package-name** layout approach include:
 
-* It ensures that tests are always running on the installed version of your
-package rather than on the flat files
-* If `tests/` are outside of the `src/` directory, they aren't delivered to the user
-installing your package. This makes the package size slightly smaller.
-* This layout is semantically more clear. Code is always found in the
-`src/package-name` directory, `tests/` are in the root and with docs/
+* It ensures that tests always run on the installed version of your
+package rather than on the flat files imported directly from your package. If you run your tests on your flat files, you may be missing issues that users may encounter with your package when it's installed.
+* If `tests/` are outside of the **src/package-name** directory, they aren't by default
+delivered to a user
+installing your package. However, you can chose to add them to the package archive. When tests are not included in the package archive your package size will be slightly smaller.
+* The `src/package-name` layout is semantically more clear. Code is always found in the
+`src/package-name` directory, `tests/` and `docs/`are in the root directory.
 
-#### Cons of the src/ layout
-* Can be slightly trickier to configure. examples:
-   * Tools like build won't automatically find the package directory if it's
-   within `src/package-name` without being configured.
-* Setting up continuous integration is more complex as you will have to account
-for the `src/` directory when installing the package
-* While this layout is common in the broader Python ecosystem, it does not
-necessarily support the needs of the scientific Python ecosystem which often has
-tools that wrap around other compiled languages such as C++. Often times code
-that needs to be compiled is stored in `src/`.
+```{tip}
+* [Read more about reasons to use the **src/package-name** layout](https://hynek.me/articles/testing-packaging/)
+```
 
-An example of the `src/` layout structure can be seen below:
+An example of the **src/package-name** layout structure can be seen below:
 
 ```
 myPackage
@@ -145,7 +70,7 @@ myPackage
 ├── README.md                  ┘
 ├── pyproject.toml             ┐
 ├── src                        │
-│   └── myPackage               │ Package source code, metadata,
+│   └── myPackage              │ Package source code, metadata,
 │       ├── __init__.py        │ and build instructions
 │       ├── moduleA.py         │
 │       └── moduleB.py         ┘
@@ -159,7 +84,6 @@ In the above example, notice that all of the core documentation files that
 pyOpenSci requires live in the root of your project directory. These files
 include:
 
-<!-- TODO: add link when documentation section is merged -->
 * CHANGELOG.md
 * CODE_OF_CONDUCT.md
 * CONTRIBUTING.md
@@ -167,132 +91,118 @@ include:
 * README.md
 
 Also note that there is a **docs/** directory at the root where your user-facing
-documentation website content lives.
+documentation website lives.
 
-```{button-link} https://www.pyopensci.org/python-package guide/documentation
+```{button-link} https://www.pyopensci.org/python-package-guide/documentation
 :color: primary
-:class: sd-rounded-pill float-left
-Click here to read about our packaging documentation requirements. <<This LINK won't work until OPEN doc PR IS MERGED>>
-```
+:class: sd-rounded-pill
 
-Finally, notice that the **tests/** directory containing your test suite is
-located within the **packageName/** directory.
+Click here to read about our packaging documentation requirements.
+```
 
-<!-- This tutorial obviously doesn't exist yet... but we need to somehow
-specify this because it's i think the main concern behind tests shipping with
-code - PyPI maintenance burden grows quickly -->
 
 ```{important}
-If your package tests require data, we suggest that you NOT include that
+If your package tests require data, we suggest that you do NOT include that
 data within your package structure. We will discuss this in more detail in a
-tutorial.
-```
-
-
-```{admonition} Src vs. flat layouts for Python packaging
-:class: note
-While you will see other structures, [such as the `src/`
-layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) recommended by the [Python packaging authority](https://py-pkgs.org/04-package-structure) and others, all scientific
-Python packages have used a flat layout. This structure has been
-prevalent for almost a decade.
-
-Because a core goal shared by both pyOpenSci and the Scientific Python
-project, is to see increased standardization in Python packaging, we
-are advocating for a structure that is used by existing packages in the
-ecosystem.
-
-Many of our core scientific Python packages wrap around other compiled languages, such as C++. They thus have source code that requires compilation. It would be challenging and potentially time-consuming for all of those packages to modify their current
-structure. And further it would not provide them with any core benefit.
-
-
+tutorial. Include data in your package structure increases the size of your
+distribution files. This places a maintenance toll on repositories like PyPI and
+anaconda cloud that have to deal with thousands of package uploads.
 ```
 
+## About the flat Python package layout
 
-## Use a pyproject.toml file for your package configuration & metadata
-
-We strongly recommend that you [include all project based metadata and build system specifications in a `pyproject.toml` file.](https://pip.pypa.io/en/stable/reference/build-system/pyproject-toml/) [Using setup.py to manage both package setup and hold metadata can present numerous risks.](https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html)
-
+Currently most scientific packages use the **flat-layout** given:
 
-```{note}
-Moving away from the **setup.py** file provides two benefits:
+* It's the most commonly found layout with the scientific Python ecosystem and
+people tend to look to other packages / maintainers that they respect for examples
+of how to build Python packages.
+* Many Python tools depend upon tools in other language and / or complex builds
+with compilation steps. Many developers thus appreciate / are used to features
+of the flat layout.
 
-1. Because setup.py has a mixture of code and metadata, it opens the user to a potential bad code injection on their computer when the package is installed.
-1. Including your package's metadata in a separate human-readable `pyproject.toml` format also allows someone to view the project's metadata without
-running any Python code.
-```
+While we present this layout here in our guide, we suggest that those just
+getting started with python packaging start with the src/package-name layout
+discussed above. Numerous packages in the ecosystem [have had to move to a
+src/ layout](https://github.com/scikit-build/cmake-python-distributions/pull/145)
 
-The [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/), is an easy-to-read structure that is founded on key: value pairs.
 
-Each section in the file contains a `[table identifier]`.
-Below that table identifier are key value pairs that
-support configuration for that particular table.
+```{admonition} Why most scientific Python packages do not use source
+:class: tip
 
-```{note}
-[PEP518 describes the move away from setup.py to the pyproject.toml file.](https://peps.python.org/pep-0518/)
-Python package standards are moving away from
-including both package metadata and python code needed to setup a package installation in the same **setup.py** file. Instead we are moving towards using
-a **proproject.toml** file sometimes combined with a **setup.cfg** file.
+In most cases the advantages of using the **src/package-name** layout for
+larger scientific packages that already use flat approach are not worth it.
+Moving from a flat layout to a **src/package-name** layout would come at a significant cost to
+maintainers.
 
-In some cases
-where a build is particularly complex, a **setup.py** file may still be required.
+However, the advantages of using the  **src/package-name** layout for a beginner are significant.
+As such, we recommend that if you are getting started with creating a package,
+that you consider using a  **src/package-name** layout.
 ```
 
-## Example pyproject.toml
-
-Below is an example build configuration for a Python project. This setup
-requires:
+## What does the flat layout structure look like?
 
-* **setuptools** to create the package structure,
-* **wheel** which is used by `setuptools` to create the [**.whl** (wheel) file](https://realpython.com/python-wheels/).
-* **setuptools build** to "build" the package
-* **setuptools_scm** to manage package version updates
 
-In the example below `[build-system]` is the first table
-of values. It has two keys that specify the build front end and backend for a package:
+```{admonition} Core scientific Python packages that use the flat layout
+:class: tip
 
-1. `requires =`
-1. `build-backend =`
+* [numpy](https://github.com/numpy/numpy)
+* [scipy](https://github.com/scipy/scipy)
+* [pandas](https://github.com/pandas-dev/pandas)
+* [xarray](https://github.com/pydata/xarray)
+* [Jupyter-core](https://github.com/jupyter/jupyter_core)
+* [Jupyter notebook](https://github.com/jupyter/notebook)
+* [scikit-learn](https://github.com/scikit-learn/scikit-learn)
 
-```
-[build-system]
-requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
-build-backend = "setuptools.build_meta"
-
-[project]
-name = "examplePy"
-authors = [
-    {name = "Some Maintainer", email = "some-email@pyopensci.org"}
-]
-maintainers = [{name = "All the contributors"}]
-license = {text = "BSD 3-Clause"}
-description = "An example Python package used to support Python packaging tutorials"
-keywords = ["pyOpenSci", "python packaging"]
-readme = "README.md"
-
-dependencies = [
-    "dependency-package-name-1",
-    "dependency-package-name-2",
-]
+It would be a significant maintenance cost and burden to move all of these
+packages to a different layout. The potential benefits of the source layout
+for these tools is not worth the maintenance investment.
 ```
 
+The flat layout's primary characteristics are:
 
-Notice that you also can specify dependencies in this file.
+* The source code for your package lives in a directory with your package's
+name in the root of your directory
+* Often the `tests/` directory also lives within that same `package-name` directory.
 
+Below you can see the recommended structure of a scientific Python package
+using the flat layout.
 
-<!-- TODO: add link to section on build tools when it exists and
-turn this into button:
+```bash
+myPackage/
+├── CHANGELOG.md             ┐
+├── CODE_OF_CONDUCT.md       │
+├── CONTRIBUTING.md          │
+├── docs/                    │ Package documentation
+│   └── ...                  │
+├── LICENSE                  │
+├── README.md                ┘
+├── pyproject.toml           ] Package metadata and build configuration
+|   myPackage/               ┐
+│     ├── __init__.py        │ Package source code
+│     ├── moduleA.py         │
+│     └── moduleB.py         ┘
+      tests/                 ┐
+        └── test-file1.py    | Package tests
+        └── ....             ┘
+```
 
-We discuss build tools for python package more here.
--->
 
-<!-- TODO: where does this tip belong? -->
-```{tip}
-PEPs stand for Python Enhancement Protocols. They provide guidelines for
-standardizing Python code and packaging.
+```{note}
+If you look at
+[the `matplotlib` repository on GitHub](https://github.com/matplotlib/matplotlib),
+you will notice it too has a  **src/package-name** directory, however
+that structure is there because `matplotlib` has uncompiled source code in that
+directory. it is not adhering to the **src/package-name** layout explicitly.
 ```
 
+### Benefits of using the flat layout in your Python package
+
+There are some benefits to the scientific community in using the flat layout.
 
-<!-- TODO:
-1. add some links to packages that are using a purely toml config
-1. link to our example package once it's further along
--->
+* This structure has historically been used across the ecosystem and packages
+using it are unlikely to change.
+* You can directly import the package directly from the root directory. For 
+some this is engrained in their respective workflows. However for a beginner 
+the danger of doing this is that you are not developing and testing against the 
+installed version of your package. Rather, you are working directly with the 
+flat files.

From 9cae7fa93f91a38184bdb51aa4d1a4a3aa83ba78 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 22 Feb 2023 13:46:24 -0700
Subject: [PATCH 05/42] Fix: final edits to packaging section broken links etc

Fix: a few minor edits

Add: CI to direct to circleci build

Fix: broken link

Update package-structure-code/python-package-build-tools.md
---
 .github/workflows/artifact_redirect.yml       |  18 +++
 index.md                                      |  18 ++-
 .../complex-python-package-builds.md          |   9 ++
 package-structure-code/intro.md               |  83 ++++++-------
 .../pyproject-toml-python-package-metadata.md | 110 ++++++------------
 .../python-package-build-tools.md             |  89 +++++++-------
 ...-package-distribution-files-sdist-wheel.md |  59 ++++------
 .../python-package-structure.md               | 108 +++++++++--------
 8 files changed, 242 insertions(+), 252 deletions(-)
 create mode 100644 .github/workflows/artifact_redirect.yml

diff --git a/.github/workflows/artifact_redirect.yml b/.github/workflows/artifact_redirect.yml
new file mode 100644
index 00000000..9d61e600
--- /dev/null
+++ b/.github/workflows/artifact_redirect.yml
@@ -0,0 +1,18 @@
+name: Book Preview
+
+on: [status]
+
+jobs:
+  circleci_artifacts_redirector_job:
+    runs-on: ubuntu-latest
+    if: "${{ github.event.context == 'ci/circleci: build_book' }}"
+    name: Run CircleCI artifacts redirector
+    steps:
+      - name: GitHub Action step
+        id: step1
+        uses: larsoner/circleci-artifacts-redirector-action@master
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          artifact-path: 0/html/index.html
+          circleci-jobs: build_book
+          job-title: Click to preview rendered book
diff --git a/index.md b/index.md
index 87a3d4df..8b4d04b8 100644
--- a/index.md
+++ b/index.md
@@ -1,7 +1,6 @@
 # pyOpenSci Python Open Source Package Development Guide
 
 
-
 ```{toctree}
 :hidden:
 :caption: Documentation
@@ -30,7 +29,8 @@ https://github.com/pyOpenSci/python-package-guide/community -->
 ## Welcome, Python open source enthusiast!
 
 Here you will find guidelines for what we look for in your scientific
-Python package when reviewing. You will also find best practice recommendations and curated lists of community resources surrounding packaging and documentation.
+Python package when reviewing. You will also find best practice recommendations and curated lists of community resources surrounding packaging and documentation. Our goal is to help the
+community make decisions around how to create scientific Python packages. We are working towards a shared vision of packaging that helps users better understand where to start.
 
 ::::{grid} 2
 :reverse:
@@ -82,6 +82,16 @@ documentation that are
 commonly used in the scientific Python community.
 :::
 
+:::{grid-item-card}
+:link: package-structure-code/intro
+:link-type: doc
+:class-header: bg-light
+
+✨ Python packaging tools & structure ✨
+^^^
+All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the one that will work best for your workflow.
+:::
+
 
 :::{grid-item-card}
 :link: CONTRIBUTING
@@ -98,9 +108,9 @@ contribute.
 ## Who this guidebook is for
 We assume that you are here because you are:
 
+1. Looking for guidance on creating a Python package.
+1. Looking for resources associated with Python packaging.
 1. Considering submitting a package to pyOpenSci and want to understand what we are looking for when we review your package
-2. Looking for guidance on creating a Python package.
-3. Looking for resources associated with Python packaging.
 
 Well, friend, you've come to the right place!
 
diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index c8c0e0f9..f919e2e4 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -141,3 +141,12 @@ pdm and poetry both rely on setuptools for C extensions. pdm's support claims to
 
 https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
 -->
+
+
+<!-- https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1071541329
+ELI: A complex build could mean running a python script that processes some data file and produces a pure python module file.
+
+Probably not common in the scientific community specifically, but I've seen quite a few setup.py files that contain custom build stages which e.g. build gettext locale catalogs.
+
+The main point is that it is more "complex" than simply copying files or directories as-is into the built wheel.
+-->
diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index a02e253e..86fbb938 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -1,38 +1,16 @@
 # Python package structure information
 
-If you plan to submit a package for review to pyOpenSci and are looking for
-some guidance on package structure, code formats and style, then this section is for you.
+This section provides guidance on your Python package's structure, code formats and style. It also reviews the various packaging tools that you can use to
+support building and publishing your package.
 
-## Guidelines for pyOpenSci's packaging recommendations
-
-<!-- Might belong on the LANDING page for this entire guide?-->
-
-There are some differing opinions on what Python package structure should
-look like and what tools to use across the Python ecosystem.
-
-In this guide, we have made decisions around suggested standards and required
-standards, based upon the commonly used approaches in the scientific Python
-community.  Our goal is to help standardize packaging across this ecosystem.
-
-In some cases the suggestions here may diverge from those in the non-scientific parts of the Python ecosystem.
+If you are confused by Python packaging, you are not alone!
+The good news is there are some great modern packaging
+tools that ensure that you're following best practices. Here, we
+review tool features and suggest tools that might be best fitted for your workflow.
 
 ```{note}
-The suggestions for package layout in this section are made with the
-intent of being helpful; they are not specific requirements for your
-package to be reviewed and accepted into our ecosystem.
-```
-
-In all cases, we try to align our suggestions with the most current, accepted
-[PEP's (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community specs](https://scientific-python.org/specs/).
-If you plan to submit a package for review to pyOpenSci and are looking for
-some guidance on package structure, code formats and style, then this section
-is for you.
-
-<!-- TODO: move this either to the top of this section or the landing page?-->
-
-```{note}
-Have a look at the
-bare-minimum [editor checks](https://www.pyopensci.org/peer-review-guide/software-peer-review-guide/editor-in-chief-guide.html#editor-checklist-template) that pyOpenSci
+If you are considering submitting a package for peer review, have a look at the
+bare-minimum [editor checks](https://www.pyopensci.org/software-peer-review/how-to/editor-in-chief-guide.html#editor-checklist-template) that pyOpenSci
 performs before a review begins. These checks are useful to explore
 for both authors planning to submit a package to us for review and for
 anyone who is just getting started with creating a Python package.
@@ -40,37 +18,49 @@ anyone who is just getting started with creating a Python package.
 In general these are basic items that should be in any open software repository.
 ```
 
+## What you will learn here
+
+In this section of our Python packaging guide, we:
+
+- Provide an overview of the options available to you when packaging your tool
+- Suggest tools and approaches that both meet your needs and also support existing standards.
+- Suggest tools and approaches that will allow you to expand upon a workflow that may begin as a pure Python tool and evolve into a tool that requires addition layers of complexity in the packaging build.
+- Align our suggestions with the most current, accepted
+  [PEPs (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community SPECs](https://scientific-python.org/specs/).
+- In an effort to maintain consistency within our community , we also align with existing best practices being implemented by developers of core Scientific Python packages such as Numpy, SciPy and others.
+
 ## Guidelines for pyOpenSci's packaging recommendations
 
 <!-- Might belong on the LANDING page for this entire guide?-->
 
-Python is a flexible programming language that is used across numerous
-disciplines and domains. Python is so flexible that it is one of the few
-languages that can be used to wrap around other languages.
+The flexibility of the Python programming language lends itself to a diverse
+range of tool options for creating a Python package. Python is so flexible that
+it is one of the few languages that can be used to wrap around other languages.
 
 If you are building a pure Python package, then your packaging setup can be
 simple. However, some scientific packages have complex requirements as they may
 need to support extensions or tools written in other languages such as C or C++.
 
 To support the many different uses of Python, there are many ways to create a
-Python package.
+Python package. In this guide, we suggest approaches for packaging approaches and tools based
+upon:
 
-The ecosystem is dynamic, and constantly evolving to support
-the numerous needs that developers (and scientists) have using Python.
+1. What we think will be best and easiest to adopt for those who are newer to packaging
+2. Tools that we think are well maintained and documented.
+3. A shared goal of standardizing packaging approaches across this (scientific) Python ecosystem.
 
-This dynamic yet flexible environment is what many love about Python.
+Here, we also try to align our suggestions with the most current, accepted
+[Python community](https://packaging.python.org/en/latest/) and [scientific community](https://scientific-python.org/specs/).
 
-## What you will learn here
+```{admonition} Suggestions in this guide are not pyOpenSci review requirements
+:class: important
 
-In this section of our Python packaging guide, we try to:
-
-* Provide an overview of the options available to you when packaging your tool
-* Suggest tools and approaches that both meet your needs and also support existing standards.
-* Suggest tools and approaches that will allow you to expand upon a workflow that may begin as a pure Python tool and evolve into a tool that requires addition layers of complexity in the packaging build.
-* Align our suggestions with the most current, accepted
-[PEPs (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community SPECs](https://scientific-python.org/specs/).
-* In an effort to maintain consistency within our community , we also align with existing best practices being implemented by developers of core Scientific Python packages such as Numpy, SciPy and others.
+The suggestions for package layout in this section are made with the
+intent of being helpful; they are not specific requirements for your
+package to be reviewed and accepted into our pyOpenSci open source ecosystem.
 
+Please check out our [package scope page](https://www.pyopensci.org/software-peer-review/about/package-scope.html) and [review requirements in our author guide](https://www.pyopensci.org/software-peer-review/how-to/author-guide.html#) if you are looking for pyOpenSci's Python package review requirements!
+```
 
 <!--
 ```{tip}
@@ -87,7 +77,6 @@ the `src` directory.
 ```
 -->
 
-
 ```{toctree}
 :hidden:
 :caption: Package structure & code style
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
index 834af50b..c9905fb7 100644
--- a/package-structure-code/pyproject-toml-python-package-metadata.md
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -1,73 +1,44 @@
 # Use a pyproject.toml file for your package configuration & metadata
 
-The standard file that Python packages use to specify build requirements and
-metadata is called a pyproject.toml. The pyproject.toml file has become the
-standard for declaring Python package metadata (including dependencies) rather
-than using a setup.py file (or a setup.py + setup.cfg file).
+The standard file that Python packages use to [specify build requirements and
+metadata is called a **pyproject.toml**](https://packaging.python.org/en/latest/specifications/declaring-project-metadata/). Adding metadata, build requirements
+and package dependencies to a **pyproject.toml** file replaces storing that
+information in a setup.py or setup.cfg file.
 
-As such you should try to [include all project based metadata and build system specifications in a `pyproject.toml` file.](https://packaging.python.org/en/latest/specifications/declaring-project-metadata/) Using setup.py to manage both package set up and
-hold metadata [can cause problems with package development.](https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html)
-
-
-```{admonition} Benefits of using a pyproject.toml file
-:class: tip
-
-1. Because setup.py has a mixture of code and metadata, it will be run twice when
-building your package. First it will be run to extract metadata (dependencies). Then it will be run to build your package.
-1. Including your package's metadata in a separate human-readable `pyproject.toml` format also allows someone to view the project's metadata without
-running any Python code.
-```
-
-A pyproject.toml is written in [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/). TOML is an easy-to-read structure that is founded on key: value pairs.
-
-Each section in the pyproject.toml file contains a `[table identifier]`.
+The **pyproject.toml** file is written in [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/). TOML is an easy-to-read structure that is founded on key: value pairs. Each section in the **pyproject.toml** file contains a `[table identifier]`.
 Below that table identifier are key value pairs that
 support configuration for that particular table.
 
+### Benefits of using a pyproject.toml file
+
+Including your package's metadata in a separate human-readable **pyproject.toml**
+format also allows someone to view the project's metadata in a GitHub repository.
+
 <!-- setup.cfg for project metadata is being deprecated - set setuptools guide and
 https://setuptools.pypa.io/en/latest/userguide/pyproject_config.html
 pypa -
 https://packaging.python.org/en/latest/specifications/declaring-project-metadata/ -->
 
-```{note}
-<!-- [PEP518 describes the move away from setup.py to the pyproject.toml file.](https://peps.python.org/pep-0518/) -->
-Python package standards are moving away from including both package metadata
-and Python code needed to set up a package in the same **setup.py** file.
-Instead we are moving towards using a **proproject.toml** file.
+```{admonition} Setup.py is still useful for complex package builds
+:class: tip
 
-In some cases where a build is complex, a **setup.py** file may still be
-required. While this guide will not cover complex builds, we will provide
+Using **setup.py** to manage package builds and metadata [can cause problems with package development](https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html).
+In some cases where a Python package build is complex, a **setup.py** file may
+be required. While this guide will not cover complex builds, we will provide
 resources working with complex builds in the future.
 
-<!-- https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1071541329
-ELI: A complex build could mean running a python script that processes some data file and produces a pure python module file.
-
-Probably not common in the scientific community specifically, but I've seen quite a few setup.py files that contain custom build stages which e.g. build gettext locale catalogs.
-
-The main point is that it is more "complex" than simply copying files or directories as-is into the built wheel.
--->
 ```
 
-## Example pyproject.toml
-
-Below is an example build configuration for a Python project. This setup
-requires:
-
-* **setuptools** to create the package structure,
-* **wheel** which is used by `setuptools` to create the [**.whl** (wheel) file](https://realpython.com/python-wheels/).
-* **setuptools build** to "build" the package
-* **setuptools_scm** to manage package version updates
-
-In the example below `[build-system]` is the first table
-of values. It has two keys that specify the build front end and backend for a package:
+### Example pyproject.toml for building using PDM
+Below is an example build configuration for a Python project. This example
+package setup uses:
 
-1. `requires =`
-1. `build-backend =`
+* **pdm.pep517.api** to build the [package's SDist and wheels](python-package-distribution-files-sdist-wheel)
 
 ```
 [build-system]
-requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
-build-backend = "setuptools.build_meta"
+requires = ["pdm-pep517>=1.0.0"]
+build-backend = "pdm.pep517.api"
 
 [project]
 name = "examplePy"
@@ -85,25 +56,29 @@ dependencies = [
     "dependency-package-name-2",
 ]
 ```
+Notice that dependencies are specified in this file.
 
+### Example pyproject.toml for building using setuptools
 
-Notice that you also can specify dependencies in this file.
-
+The package metadata including authors, keywords, etc is also easy to read.
+Below you can see the same toml file that uses a different build system (setuptools).
+Notice how simple it is to swap out the tools needed to build this package!
 
-A major benefit of the pyproject.toml file is that it makes is transparent
+In this example package setup you use:
 
-1. what build system you are using to create your package
-2. what dependencies you need
+* **setuptools** to build the [package's SDist and wheels](python-package-distribution-files-sdist-wheel)
+* **setuptools_scm** to manage package version updates using version control tags
 
+In the example below `[build-system]` is the first table
+of values. It has two keys that specify the build front end and backend for a package:
 
-The package metadata including authors, keywords, etc is also easy to read.
-Below you can see the same toml file that uses a different build system (PDM).
-Notice how simple it is to swap out the tools needed to build this package!
+1. `requires =`
+1. `build-backend =`
 
 ```
 [build-system]
-requires = ["pdm-pep517>=1.0.0"]
-build-backend = "pdm.pep517.api"
+requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
+build-backend = "setuptools.build_meta"
 
 [project]
 name = "examplePy"
@@ -125,18 +100,5 @@ dependencies = [
 
 
 ```{note}
-[Click here to read about our packaging documentation requirements.](/package-structure-code/python-package-build-tools)
+[Click here to read about our packaging build tools including PDM, setuptools, Poetry and Hatch.](/package-structure-code/python-package-build-tools)
 ```
-
-<!-- TODO: add link to section on build tools when it exists and
-turn this into button:
-
-We discuss build tools for python package more here.
--->
-
-
-
-<!-- TODO:
-1. add some links to packages that are using a purely toml config
-1. link to our example package once it's further along
--->
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 0e47706a..5a27b710 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -36,11 +36,6 @@ support pure-Python package builds. A pure-Python build refers
 to a package build that does not have extensions that are written in another
 programming language (such as `C` or `C++`).
 
-```{note}
-**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
-learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
-)
-```
 
 Other packages that have C and C++ extensions (or that wrap other languages such as fortran) require additional code compilation steps when built.
 Back-ends such as and **setuptools.build**, **meson.build**
@@ -54,14 +49,12 @@ Build front-ends have a user-friendly interface that allow you to perform
 common Python packaging tasks such as building your package, creating an
 environment to run package tests and build documentation, and pushing to PyPI.
 
-
-
-For instance, you can use **Flit**, **Hatch** and **PDM** to both build your
+For instance, you can use **Flit**, **Hatch**, **Poetry** and **PDM** to both build your
 package and to publish your package to PyPI (or test PyPI). However, if you
 want a tool that also support environment management and versioning your package,
-then you might prefer to use **Hatch** or **PDM**.
+then you might prefer to use **Hatch**, **Poetry** or **PDM**.
 
-Using a tool like **Flit**, **Hatch** or **PDM** will simplify your workflow.
+Using a tool like **Flit**, **Hatch**, **Poetry** or **PDM** will simplify your workflow.
 
 Example to build your package with **Flit**:
 
@@ -112,7 +105,6 @@ locking, you can use **PDM** or **Poetry** but not **Hatch**.
 If you are using **Setuptools**, there is no user-friendly build front-end that performs multiple tasks. You will need to use **build** to build your package and **twine** to publish to PyPI.
 ```
 
-
 ### Example build steps that can be simplified using a front-end tool
 
 Below, you can see how a build tool streamlines your packaging experience. Example to build your package with **Hatch**:
@@ -124,6 +116,7 @@ hatch build
 # Example to publish to PyPI:
 hatch publish --repository testpypi
 ```
+
 Example build steps using the **setuptools** backend and **build**:
 
 ```bash
@@ -134,49 +127,51 @@ python3 -m build
 twine upload -r testpypi dist/*
 ```
 
-### Build back-ends
+## Choosing a build back-end
 
 Most front-end packaging tools have their own back-end build tool. The build
 tool creates your package's (SDist and Wheel) distribution files. For pure
 Python packages, the main difference between the different build back-ends
 discussed below is:
 
-* How configurable they are and
-* How much you need to configure them to ensure the correct files are included in your SDist and Wheel files.
+* How configurable they are - for example, do they allow you to add build steps that support non python extensions?
+* How much you need to configure them to ensure the correct files are included in your SDist and Wheel distributions.
+
 
-It is also important to note that some back-ends, such as Flit-core, only support
-pure Python builds. Other back ends support C and C++ extensions:
+### Build backend support for non pure-python packages
+
+It is important to note that some build back-ends, such as **Flit-core**, only support
+pure Python builds. Other back ends support C and C++ extensions as follows:
 
 * setuptools supports builds using C / C++ extensions
-* Hatchling supports C extensions via plugins that the developer creates to customize a build
+* Hatchling (hatch's backend) supports C / C++ extensions via plugins that the developer creates to customize a build
 * PDM's backend supports C / C++ extensions by using setuptools
-* Poetry supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex builds until it is documented.
+* Poetry's backend supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex or non pure Python builds until it is documented.
 
 While we won't discuss more complex builds below, we will identify which tools
-allow for C and C++ extensions.
-
-
-<!--
-From Eli:
+have documented support for C / C++ extensions.
 
-poetry: supports it (c extensions), but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
-pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
-hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
 
--->
+## An ecosystem of Python build tools
 
-<!-- ```{note}
-**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
-learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels). This functionality uses setuptools "under the
-hood".
-``` -->
+Below we introduce several of the most commonly used Python packaging build
+front-end tools. We highlight the features that each tool offers as a way to
+help you decide what tool might be best for your workflow.
 
+```{admonition} We do not suggest using setuptools
+:class: note
 
+We suggest that you pick one of the modern tools listed above rather than
+setuptools because setuptools will require some additional knowledge
+to set up correctly.
 
-## An ecosystem of Python build tools
+We review setuptools as a backend because it is still popular. However it is
+not the most user friendly option.
+```
 
-Below we introduce several of the most commonly used Python packaging build
-tools (see chart below).
+The most commonly used tools in the ecosystem are
+setuptools backend (with build) and Poetry (a front end tool with numerous
+features and excellent documentation).
 
 :::{figure-md} pypa-survey-plot
 
@@ -186,7 +181,7 @@ The Python developers survey results (n=>8,000 PyPI users) show setuptools and p
 :::
 
 
-## How to chose a build workflow tool
+## Chose a build workflow tool
 
 The tools that we review below include:
 
@@ -196,10 +191,6 @@ The tools that we review below include:
 * PDM
 * Poetry
 
-We suggest that you pick one of the modern tools listed above rather than
-setuptools because setuptools will require some additional knowledge
-to set up correctly.
-
 When you are selecting a tool, you might consider this general workflow of
 questions:
 
@@ -209,7 +200,8 @@ questions:
 **PDM** for the time being. It is the only tool in the list below that has documented
 workflow to support such extensions. It also supports other backends such as scikit build and meson-python that will allow you to fully customize your build.
 
-NOTE: You can also use Hatch but you will need to write your own plugin for this support.
+NOTE: You can also use Hatch for non pure python builds but you will need to
+write your own plugin for this support.
 
 
 
@@ -239,7 +231,7 @@ included in the table.
 :header: Feature, Flit, Hatch, PDM, Poetry
 :widths: 36, 10,10,10,10
 
-Default Build Back-end, Flit-core, Hatch-core, PDM, Poetry-core
+Default Build Back-end, Flit-core, hatchling, PDM, Poetry-core
 Use Other Build Backends,✖ , ✖,✅  ,✖
 Dependency management, ✖,✖,✅,✅
 Publish to PyPI, ✅,✅,✅,✅
@@ -580,4 +572,17 @@ dev = [
   "boost-histogram>=1.0",
 ]
 ```
+
+From Eli:
+
+poetry: supports it (c extensions), but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
+pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
+hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
+
+
+**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
+learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels). This functionality uses setuptools "under the
+hood".
+
+
 -->
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index 2ad7261c..43e0ca71 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -2,53 +2,36 @@
 
 There are two core distribution files
 that you need to create to publish your Python package to
-PyPI:
+PyPI SDist and Wheel. The SDist (Source Distribution) contains the raw source
+code for your package. The Wheel (.whl) contains the built / compiled files
+that can be directly installed onto anyones' computer.
 
-1. a Source Distribution (SDist)
-2. a Wheel (.whl).
-
-## Source vs. Binary Files
-
-It's important to understand the two "types" of distribution files. You can
-think about files as either source or binary:
-
-**Source files:** source files are the unbuilt files needed to build your
-package. These are the "raw / as-is" files that you store on GitHub or whatever
-platform you are using to manage your code repository.
-**Binary files:** binary files are the source files after they've been built.
-These files have been compiled (if they require compilation) and are ready
-to be installed.
-
-### Python package distribution types: SDist and Wheels
-There are two types of distribution files that you will create to support
-publishing your Python package on PyPI:
-
-1. SDist and
-1. Wheel
-
-<!--
-* **SDist (Source Distribution):** This file, packaged as a **.tar.gz** tarball represents all of the unbuilt source files needed to build your package into an installable bundle. But the files within the package are not yet "built" if your package requires a  build step. Pure python packages most often do not require a build step.
-* **Wheel:** A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps. -->
+Learn more about both distributions below.
 
 ```{note}
 If your package is a pure python package with no additional
-build / compilation steps then the SDIST and Wheel files will have
-similar content.
+build / compilation steps then the SDist and Wheel distributions will have
+similar content. However if your package has extensions in other languages
+or is more complex in its build, the two distributions will be very different.
+
+Also note that we are not discussing conda build workflows in this section.
+[You can learn more about conda builds here.](https://conda.io/projects/conda-build/en/latest/user-guide/tutorials/index.html)
 ```
 
-### What is a source distribution (SDist)?
+### Source Distribution (SDist)
 
-**S**ource **D**istributions, referred to as SDist, is a set of files saves as
-a `.tar.gz` archive (often called a "tarball"). The SDist has all of the files
-needed to build your
-package. As the name implies, a SDIST contains the source code; it has not been
+**Source files** are the unbuilt files needed to build your
+package. These are the "raw / as-is" files that you store on GitHub or whatever
+platform you use to manage your code.
+
+**S**ource **D**istributions are referred to as SDist.  As the name implies, a SDIST contains the source code; it has not been
 built or compiled in any way. Thus, when a user installs your source
-distribution using pip, pip needs to run a build step first.
+distribution using pip, pip needs to run a build step first. SDist is normally stored as a `.tar.gz` archive (often called a "tarball").
 
+Below is an example SDist for the stravalib Python package:
 
-<!-- TODO: will work on cleaning up this after adding MANIFEST and then
-add a section on the MANIFEST file for packaging and link to
-https://packaging.python.org/en/latest/guides/using-manifest-in/-->
+<!-- TODO: we should likely use a different pure python package with a src/ layout for
+consistency -->
 
 ```
 stravalib-1.1.0.post2-SDist.tar.gz file contents
@@ -127,6 +110,8 @@ pyproject.toml file. The pyproject.toml and other files that may be included in
 source distributions are not included in wheels because it is a built
 distribution.
 
+The wheel (.whl) is your built binary distribution. **Binary files** are the built / compiled source files. These files are ready to be installed. A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps.
+
  The wheel does not contain any of your
 packages configuration files such as **setup.cfg** or **pyproject.toml**. This
 distribution is already built so it's ready to install.
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 96008009..5d21ab0a 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,41 +1,61 @@
 # Python Package Structure for Scientific Python Projects
 
+## Directories that should be in all Python packages
+
+There are several core directories that should be included in all Python packages:
+
+* **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
+* **tests/** this directory contains the tests for your project code
+* **package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
+
+
+## Src vs flat layouts
 There are two different layouts that you will commonly see
 within the Python packaging ecosystem:
 [src and flat layouts.](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
 Both layouts have advantages for different groups of maintainers.
 
-On this page you will learn more about both layouts.
-Here we:
+The **src/package-name** approach nests your **package-name** directory, mentioned above as the directory where your code lives, into a **src/** directory like this:
 
-1. Suggest the **src/package-name** layout structure for new packages. This layout prevents some commonly found issues with the flat layout (discussed below)
-2. Introduce the flat layout as it is used in the scientific ecosystem. Currently this layout is the most common. As such it's good to be familiar with it in case you contribute to a package using a flat layout in the future! wOr you maintain one now!
+**src/package-name**
 
-```{important}
-pyOpenSci however will never require a specific package structure for its
-peer review process. We understand that it would be tremendous effort for existing
+In a flat layout approach, your package's code lives in a **package-name** directory
+at the root of your package's repository.
+
+On this page we:
+
+1. Suggest the **src/package-name** layout structure for new packages. This layout prevents some commonly found issues with the flat layout (discussed below).
+2. Introduce the flat layout as it is used in the scientific ecosystem. Currently this layout is the most common. As such it's good to be familiar with it in case you contribute to a package using a flat layout in the future!
+
+```{admonition} pyOpenSci will never require a specific package structure for peer review
+:class: important
+
+We understand that it would be tremendous effort for existing
 maintainers to move to a new layout.
 
-The overview on this page presents recommendations that may be particularly useful
-for those getting started with Python packaging.
+The overview on this page presents recommendations that we think are best for
+something getting started with Python packaging or someone who's package is
+has a simple build and might be open to moving to a more fail-proof approach.
 ```
 
 ## The src/ layout for Python packages
 
-The **src/package-name** layout is included in the [PyPA packaging guide](https://packaging.python.org/en/latest/tutorials/packaging-projects/). It is also the approach that we suggest
-for new maintainers. We suggest the src/package-name layout because it makes it
-easier for you to create a package build workflow that tests your package
-as it will be installed on a users computer.
+The **src/package-name** layout is the approach that we suggest
+for new maintainers. It is also recommended in the
+[PyPA packaging guide](https://packaging.python.org/en/latest/tutorials/packaging-projects/). We suggest the **src/package-name** layout because it
+makes it easier for you to create a package build workflow that tests your
+package as it will be installed on a users computer.
 
 The key characteristic of this layout is that your package
-uses a `src/package-name` directory structure. With this layout it is also common
-to include your `tests/` directory outside of the package
+uses a **src/package-name** directory structure. With this layout it is also
+common to include your `tests/` directory outside of the package
 directory. However, you may see some packages
-that includes tests within the `src/package-name` directory.
+that includes tests within the **src/package-name** directory.
 
 ```{admonition} Example scientific packages that use **src/package-name** layout
 
 * [Sourmash](https://github.com/sourmash-bio/sourmash)
+* [bokeh](https://github.com/bokeh/bokeh)
 * [openscm](https://github.com/openscm/openscm-runner)
 * [awkward](https://github.com/scikit-hep/awkward)
 ```
@@ -49,14 +69,14 @@ package rather than on the flat files imported directly from your package. If yo
 * If `tests/` are outside of the **src/package-name** directory, they aren't by default
 delivered to a user
 installing your package. However, you can chose to add them to the package archive. When tests are not included in the package archive your package size will be slightly smaller.
-* The `src/package-name` layout is semantically more clear. Code is always found in the
-`src/package-name` directory, `tests/` and `docs/`are in the root directory.
+* The **src/package-name** layout is semantically more clear. Code is always found in the
+**src/package-name** directory, `tests/` and `docs/`are in the root directory.
 
 ```{tip}
 * [Read more about reasons to use the **src/package-name** layout](https://hynek.me/articles/testing-packaging/)
 ```
 
-An example of the **src/package-name** layout structure can be seen below:
+An example of the **src/package-name** layout structure can be seen below.
 
 ```
 myPackage
@@ -141,23 +161,6 @@ that you consider using a  **src/package-name** layout.
 
 ## What does the flat layout structure look like?
 
-
-```{admonition} Core scientific Python packages that use the flat layout
-:class: tip
-
-* [numpy](https://github.com/numpy/numpy)
-* [scipy](https://github.com/scipy/scipy)
-* [pandas](https://github.com/pandas-dev/pandas)
-* [xarray](https://github.com/pydata/xarray)
-* [Jupyter-core](https://github.com/jupyter/jupyter_core)
-* [Jupyter notebook](https://github.com/jupyter/notebook)
-* [scikit-learn](https://github.com/scikit-learn/scikit-learn)
-
-It would be a significant maintenance cost and burden to move all of these
-packages to a different layout. The potential benefits of the source layout
-for these tools is not worth the maintenance investment.
-```
-
 The flat layout's primary characteristics are:
 
 * The source code for your package lives in a directory with your package's
@@ -187,22 +190,31 @@ myPackage/
 ```
 
 
-```{note}
-If you look at
-[the `matplotlib` repository on GitHub](https://github.com/matplotlib/matplotlib),
-you will notice it too has a  **src/package-name** directory, however
-that structure is there because `matplotlib` has uncompiled source code in that
-directory. it is not adhering to the **src/package-name** layout explicitly.
-```
-
 ### Benefits of using the flat layout in your Python package
 
 There are some benefits to the scientific community in using the flat layout.
 
 * This structure has historically been used across the ecosystem and packages
 using it are unlikely to change.
-* You can directly import the package directly from the root directory. For 
-some this is engrained in their respective workflows. However for a beginner 
-the danger of doing this is that you are not developing and testing against the 
-installed version of your package. Rather, you are working directly with the 
+* You can directly import the package directly from the root directory. For
+some this is engrained in their respective workflows. However, for a beginner
+the danger of doing this is that you are not developing and testing against the
+installed version of your package. Rather, you are working directly with the
 flat files.
+
+
+```{admonition} Core scientific Python packages that use the flat layout
+:class: tip
+
+* [numpy](https://github.com/numpy/numpy)
+* [scipy](https://github.com/scipy/scipy)
+* [pandas](https://github.com/pandas-dev/pandas)
+* [xarray](https://github.com/pydata/xarray)
+* [Jupyter-core](https://github.com/jupyter/jupyter_core)
+* [Jupyter notebook](https://github.com/jupyter/notebook)
+* [scikit-learn](https://github.com/scikit-learn/scikit-learn)
+
+It would be a significant maintenance cost and burden to move all of these
+packages to a different layout. The potential benefits of the source layout
+for these tools is not worth the maintenance investment.
+```

From 3c6f7ff1293a3ffcfc4daf0601097292c923209f Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:07:03 -0600
Subject: [PATCH 06/42] Update index.md

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/index.md b/index.md
index 8b4d04b8..908d92a1 100644
--- a/index.md
+++ b/index.md
@@ -89,7 +89,7 @@ commonly used in the scientific Python community.
 
 ✨ Python packaging tools & structure ✨
 ^^^
-All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the one that will work best for your workflow.
+All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the one that will work best for you.
 :::
 
 

From 9be2c292bc091779d1d59751e4e1431cd05c6edc Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:09:05 -0600
Subject: [PATCH 07/42] Apply suggestions from code review

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 index.md                                                | 2 +-
 package-structure-code/complex-python-package-builds.md | 3 +--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/index.md b/index.md
index 908d92a1..6f004bf4 100644
--- a/index.md
+++ b/index.md
@@ -89,7 +89,7 @@ commonly used in the scientific Python community.
 
 ✨ Python packaging tools & structure ✨
 ^^^
-All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the one that will work best for you.
+All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the tool that will work best for you.
 :::
 
 
diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index f919e2e4..57dcd20b 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -3,8 +3,7 @@
 This guide is focused on packages that are either pure-python or that
 have a few simple extensions in another language such as C or C++.
 
-If your package is more complex, [you may want to refer to this guide
-created by Ralf Gommers on Python packaging.](https://pypackaging-native.github.io/)
+We would love to provide resources on packages with more complex builds. Please feel free to discuss on our board or to open an issue! There are many nuances to building and distributing Python packages that have compiled extensions requiring non-Python dependencies at build time. For an overview and thorough discussion of these nuances, please see [this site.](https://pypackaging-native.github.io/)
 
 ## Pure Python Packages vs. packages with extensions in other languages
 

From f657772ffd3c6fedb0cc158eb07ff541d173b486 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:14:47 -0600
Subject: [PATCH 08/42] Apply suggestions from code review

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 package-structure-code/complex-python-package-builds.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 57dcd20b..baee3d44 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -3,7 +3,7 @@
 This guide is focused on packages that are either pure-python or that
 have a few simple extensions in another language such as C or C++.
 
-We would love to provide resources on packages with more complex builds. Please feel free to discuss on our board or to open an issue! There are many nuances to building and distributing Python packages that have compiled extensions requiring non-Python dependencies at build time. For an overview and thorough discussion of these nuances, please see [this site.](https://pypackaging-native.github.io/)
+In the future, we want to provide resources for packaging workflows that require more complex builds. If you have questions about these types of package, please [add a question to our discourse](https://pyopensci.discourse.group/) or open an [issue about this guide specifically in the GitHub repo for this guide](https://github.com/pyOpenSci/python-package-guide/issues). There are many nuances to building and distributing Python packages that have compiled extensions requiring non-Python dependencies at build time. For an overview and thorough discussion of these nuances, please see [this site.](https://pypackaging-native.github.io/)
 
 ## Pure Python Packages vs. packages with extensions in other languages
 
@@ -13,7 +13,7 @@ back end tools.
 
 1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
 has the features that you want and be done with your decision!
-2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as `C` or `C++`). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
+2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
 supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
 3.**Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
 or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.

From cf362616be06b5fe18c6ad037df48504ad0f1745 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:16:37 -0600
Subject: [PATCH 09/42] Apply suggestions from code review

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 package-structure-code/intro.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index 86fbb938..bbda5a77 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -27,7 +27,7 @@ In this section of our Python packaging guide, we:
 - Suggest tools and approaches that will allow you to expand upon a workflow that may begin as a pure Python tool and evolve into a tool that requires addition layers of complexity in the packaging build.
 - Align our suggestions with the most current, accepted
   [PEPs (Python Enhancement Protocols)](https://peps.python.org/pep-0000/) and the [scientific-python community SPECs](https://scientific-python.org/specs/).
-- In an effort to maintain consistency within our community , we also align with existing best practices being implemented by developers of core Scientific Python packages such as Numpy, SciPy and others.
+- In an effort to maintain consistency within our community, we also align with existing best practices being implemented by developers of core Scientific Python packages such as Numpy, SciPy and others.
 
 ## Guidelines for pyOpenSci's packaging recommendations
 

From 755cdd5374ae1c522102a7b355e4d71b58a13dd2 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:18:58 -0600
Subject: [PATCH 10/42] Apply suggestions from code review

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 package-structure-code/intro.md                             | 2 +-
 .../pyproject-toml-python-package-metadata.md               | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index bbda5a77..976778dc 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -35,7 +35,7 @@ In this section of our Python packaging guide, we:
 
 The flexibility of the Python programming language lends itself to a diverse
 range of tool options for creating a Python package. Python is so flexible that
-it is one of the few languages that can be used to wrap around other languages.
+it is one of the few languages that can be used to wrap around other languages. The ability of Python to wrap other languages one the reasons why you will often hear Python described as a ["glue" language](https://numpy.org/doc/stable/user/c-info.python-as-glue.html)"
 
 If you are building a pure Python package, then your packaging setup can be
 simple. However, some scientific packages have complex requirements as they may
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
index c9905fb7..666d87eb 100644
--- a/package-structure-code/pyproject-toml-python-package-metadata.md
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -5,8 +5,8 @@ metadata is called a **pyproject.toml**](https://packaging.python.org/en/latest/
 and package dependencies to a **pyproject.toml** file replaces storing that
 information in a setup.py or setup.cfg file.
 
-The **pyproject.toml** file is written in [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/). TOML is an easy-to-read structure that is founded on key: value pairs. Each section in the **pyproject.toml** file contains a `[table identifier]`.
-Below that table identifier are key value pairs that
+The **pyproject.toml** file is written in [TOML (Tom's Obvious, Minimal Language) format](https://toml.io/en/). TOML is an easy-to-read structure that is founded on key/value pairs. Each section in the **pyproject.toml** file contains a `[table identifier]`.
+Below that table identifier are key/value pairs that
 support configuration for that particular table.
 
 ### Benefits of using a pyproject.toml file
@@ -61,7 +61,7 @@ Notice that dependencies are specified in this file.
 ### Example pyproject.toml for building using setuptools
 
 The package metadata including authors, keywords, etc is also easy to read.
-Below you can see the same toml file that uses a different build system (setuptools).
+Below you can see the same TOML file that uses a different build system (setuptools).
 Notice how simple it is to swap out the tools needed to build this package!
 
 In this example package setup you use:

From 3e782887948c681716156fc14ca49c2b60741b6f Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 15:33:09 -0600
Subject: [PATCH 11/42] Fix: Apply suggestions from code review
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Apply suggestions from code review

Update package-structure-code/python-package-build-tools.md

Co-authored-by: Randy Döring <30527984+radoering@users.noreply.github.com>

Update package-structure-code/python-package-build-tools.md

Co-authored-by: Randy Döring <30527984+radoering@users.noreply.github.com>

Update package-structure-code/python-package-build-tools.md

Co-authored-by: Randy Döring <30527984+radoering@users.noreply.github.com>

Update package-structure-code/python-package-distribution-files-sdist-wheel.md

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 package-structure-code/python-package-build-tools.md      | 8 ++++----
 .../python-package-distribution-files-sdist-wheel.md      | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 5a27b710..b90966cc 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -396,7 +396,7 @@ Poetry is user-friendly and has clean and easy-to-read documentation.
 
 ```{note}
 While some have used Poetry for Python builds with C/C++ extensions, this support
-is currently undocumented. Thus we don't recommend it for more complex builds.
+is currently undocumented. Thus, we don't recommend using Poetry for more complex builds.
 ```
 
 ### Poetry features
@@ -421,8 +421,8 @@ Build your SDist and wheel distributions,✅,
 
 Some challenges of Poetry include:
 
-* Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol. See breakout below for more regarding why this is potentially problematic.
-* Doesn't support version control based versioning
+* Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol by default. See breakout below for more regarding why this is potentially problematic.
+* Doesn't support version control based versioning without a plugin
 * *Minor:* The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed when they release version 2.0.
 
 Poetry is an excellent tool. Use caution when pinning dependencies as
@@ -434,7 +434,7 @@ discusses the slight differences in how poetry adds deps....-->
 ```{admonition} Challenges with Poetry dependency pinning
 :class: important
 
-Poetry pins dependencies using `^`. This `^` symbol means that there is
+Poetry pins dependencies using `^` by default. This `^` symbol means that there is
 an "upper bound" to the dependency. Thus poetry will bump a dependency
 version to a new major version. Thus, if your package uses a dependency that
 is at version 1.2.3, Poetry will never bump the dependency to 2.0 even if
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index 43e0ca71..332cec08 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -2,7 +2,7 @@
 
 There are two core distribution files
 that you need to create to publish your Python package to
-PyPI SDist and Wheel. The SDist (Source Distribution) contains the raw source
+PyPI source distribution (often called an sdist) and wheel. The SDist contains the raw source
 code for your package. The Wheel (.whl) contains the built / compiled files
 that can be directly installed onto anyones' computer.
 

From 0a9cf7ac760675a1f0f3a7d983eb304ed70228f4 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 16:14:47 -0600
Subject: [PATCH 12/42] Fix: clean up some of the discussion around poetry

---
 .../python-package-build-tools.md             | 184 +++++++++---------
 1 file changed, 87 insertions(+), 97 deletions(-)

diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index b90966cc..07c4c5c3 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -2,16 +2,14 @@
 
 <!-- TODO: add a small discussion on what pinning is?-->
 
-There are a several different build tools that you can use to [create your Python package's *SDist* and *Wheel* distributions](python-package-distribution-files-sdist-wheel). Below, we discuss the features,
+There are a several different build tools that you can use to [create your Python package's _sdist_ and _wheel_ distributions](python-package-distribution-files-sdist-wheel). Below, we discuss the features,
 benefits and limitations of the most commonly used Python packaging tools.
 We focus on pure-python packages in this guide. However, we also
 highlight tools that currently support packages with C/C++ and other language
 extensions.
 
-
 <!-- TODO: create build tool selection diagram - https://www.canva.com/design/DAFawXrierc/O7DTnqW5fmMEZ31ao-TK9w/edit -->
 
-
 :::{figure-md} fig-target
 
 <img src="../images/python-package-tools-decision-tree.png" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
@@ -29,19 +27,20 @@ To better understand your options, when it comes to building a Python package, i
 build tool front-end and build back-end.
 
 ### Build back-ends
+
 Most packaging tools have a back-end
 build tool that builds you package and creates associated
-[(SDist and wheel) distribution files](python-package-distribution-files-sdist-wheel). Some tools, such as **Flit**, only
+[(sdist and wheel) distribution files](python-package-distribution-files-sdist-wheel). Some tools, such as **Flit**, only
 support pure-Python package builds. A pure-Python build refers
 to a package build that does not have extensions that are written in another
 programming language (such as `C` or `C++`).
 
-
 Other packages that have C and C++ extensions (or that wrap other languages such as fortran) require additional code compilation steps when built.
 Back-ends such as and **setuptools.build**, **meson.build**
 and **scikit-build** support complex builds with custom steps. If your
 build is particularly complex (i.e. you have more than a few `C`/`C++`
 extensions), then we suggest you use **meson.build** or **scikit-build**.
+
 <!--
 ### Build front-ends
 
@@ -85,19 +84,19 @@ Example build steps using setuptools:
 A packaging front-end tool refers to a tool that makes it easier for you to
 perform common packaging tasks using similar commands. These tasks include:
 
-* [Build your packages (create the SDist and Wheel distributions](python-package-distribution-files-sdist-wheel)
-* Installing your package in a development mode (so it updates when you update your code)
-* Publishing to PyPI
-* Running tests
-* Building documentation
-* Managing an environment or multiple environments in which you need to run tests and develop your package
+- [Build your packages (create the sdist and wheel distributions](python-package-distribution-files-sdist-wheel)
+- Installing your package in a development mode (so it updates when you update your code)
+- Publishing to PyPI
+- Running tests
+- Building documentation
+- Managing an environment or multiple environments in which you need to run tests and develop your package
 
 There are several Python packaging tools that you can use for pure Python
 builds. Each front-end tool discussed below supports a slightly different set of Python
 packaging tasks.
 
 For instance, you can use the packaging tools **Flit**, **Hatch** or **PDM**
-to both build and publish your package to PyPI. However while  **Hatch** and
+to both build and publish your package to PyPI. However while **Hatch** and
 **PDM** support versioning and environment management, **Flit** does not. If you want a tool that supports dependency
 locking, you can use **PDM** or **Poetry** but not **Hatch**.
 
@@ -130,28 +129,26 @@ twine upload -r testpypi dist/*
 ## Choosing a build back-end
 
 Most front-end packaging tools have their own back-end build tool. The build
-tool creates your package's (SDist and Wheel) distribution files. For pure
+tool creates your package's (sdist and wheel) distribution files. For pure
 Python packages, the main difference between the different build back-ends
 discussed below is:
 
-* How configurable they are - for example, do they allow you to add build steps that support non python extensions?
-* How much you need to configure them to ensure the correct files are included in your SDist and Wheel distributions.
-
+- How configurable they are - for example, do they allow you to add build steps that support non python extensions?
+- How much you need to configure them to ensure the correct files are included in your sdist and wheel distributions.
 
 ### Build backend support for non pure-python packages
 
 It is important to note that some build back-ends, such as **Flit-core**, only support
 pure Python builds. Other back ends support C and C++ extensions as follows:
 
-* setuptools supports builds using C / C++ extensions
-* Hatchling (hatch's backend) supports C / C++ extensions via plugins that the developer creates to customize a build
-* PDM's backend supports C / C++ extensions by using setuptools
-* Poetry's backend supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex or non pure Python builds until it is documented.
+- setuptools supports builds using C / C++ extensions
+- Hatchling (hatch's backend) supports C / C++ extensions via plugins that the developer creates to customize a build
+- PDM's backend supports C / C++ extensions by using setuptools
+- Poetry's backend supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex or non pure Python builds until it is documented.
 
 While we won't discuss more complex builds below, we will identify which tools
 have documented support for C / C++ extensions.
 
-
 ## An ecosystem of Python build tools
 
 Below we introduce several of the most commonly used Python packaging build
@@ -180,31 +177,30 @@ features and excellent documentation).
 The Python developers survey results (n=>8,000 PyPI users) show setuptools and poetry as the most commonly used Python packaging tools. The core tools that we've seen being used in the scientific community are included here. [You can view the full survey results by clicking here.](https://drive.google.com/file/d/1U5d5SiXLVkzDpS0i1dJIA4Hu5Qg704T9/view) NOTE: this data represent maintainers across domains and is likely heavily represented by those in web development. So this represents a snapshot across the broader Python ecosystem.
 :::
 
-
 ## Chose a build workflow tool
 
 The tools that we review below include:
 
-* Twine, Build + setuptools
-* Flit
-* Hatch
-* PDM
-* Poetry
+- Twine, Build + setuptools
+- Flit
+- Hatch
+- PDM
+- Poetry
 
 When you are selecting a tool, you might consider this general workflow of
 questions:
 
 1. **Is your tool pure python? Yes?** You can use any tool that you wish! Pick the tool that has the features that you want to use in your build workflow. We suggest:
-* flit, hatch, PDM or poetry (read below for more)
+
+- Flit, Hatch, PDM or Poetry (read below for more)
+
 1. **Does your tool have a few C or C++ extensions?** Great, we suggest using
-**PDM** for the time being. It is the only tool in the list below that has documented
-workflow to support such extensions. It also supports other backends such as scikit build and meson-python that will allow you to fully customize your build.
+   **PDM** for the time being. It is the only tool in the list below that has documented
+   workflow to support such extensions. It also supports other backends such as scikit-build and meson-python that will allow you to fully customize your build.
 
 NOTE: You can also use Hatch for non pure python builds but you will need to
 write your own plugin for this support.
 
-
-
 <!-- ### Build tools for Python packages with complex build steps
 If your package is not pure Python, or it has complex build steps (or build
 steps that you need to customize), then you should consider using:
@@ -217,14 +213,13 @@ These tools allow you to customize your workflow with build steps needed
 to compile code. -->
 
 ## Python packaging tools summary
-<!-- NOTE - add language around the front end means that you have less individual tools in your build - such as nox / make with hatch -->
 
+<!-- NOTE - add language around the front end means that you have less individual tools in your build - such as nox / make with hatch -->
 
 Below, we summarize features offered by the most popular build front end tools.
 Note that because setuptools does not offer a front-end interface, it is not
 included in the table.
 
-
 ### Package tool features table
 
 ```{csv-table}
@@ -242,8 +237,8 @@ More than one maintainer? (bus factor),✖,✖, ✖, ✅
 
 Notes:
 
-* *Hatch plans to support using other backends and dependency management in the future*
-* Poetry supports semantic versioning. Thus, it will support version bumping following commit messages if you use a tool such as Python Semantic Release
+- _Hatch plans to support using other backends and dependency management in the future_
+- Poetry supports semantic versioning. Thus, it will support version bumping following commit messages if you use a tool such as Python Semantic Release
 
 ## PDM
 
@@ -266,22 +261,22 @@ packages them with the pure Python files.
 :widths: 20,5,50
 
 Use Other Build Backends, ✅, When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
-Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. However their approach to locking files is different: Poetry uses an upper bound lock approach `^`. <!--Most users won't know what upper bound means--> PDM uses an open lock `>=` Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
+Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. However their default approach to creating lock files is different: Poetry uses an upper bound lock approach `^` by default. <!--Most users won't know what upper bound means--> PDM uses an open lock `>=` approach. Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
 Select your environment manager of choice (conda; venv; etc),✅ , PDM allows you to select the environment manager that you want to use for managing your package.
 Publish to PyPI,✅,PDM supports publishing to both test PyPI and PyPI
-Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it's package which allows you to use dynamic versioning that rely on git tags.
+Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it which allows you to use dynamic versioning that rely on git tags.
 Version bumping, ✅ , PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
-Install your package in editable mode,✅,PDM supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
-Build your SDist and wheel distributions,✅,
-✨Optional use of PEP 582 / local environment directory✨,✅, PDM is currently the only tool that optionally supports PEP 582 (havig a local environment configuration stored within a `__packages__` directory in your working package directory).
+Install your package in editable mode,✅,PDM supports installing your package in editable mode.
+Build your sdist and wheel distributions,✅,
+✨Optional use of PEP 582 / local environment directory✨,✅, PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__packages__` directory in your working package directory).
 ```
 
 ```{admonition} PDM vs. Poetry
 The functionality of PDM is similar to Poetry. However, PDM also offers
 additional, documented support for C extensions and version control based
 versioning. If you are deciding between the two tools, the main difference between these two tools
-is that Poetry follows strict semantic versioning. Strict adherence to semantic
+is that Poetry (by default) follows strict semantic versioning when creating lock files. However there are some work arounds to this if you want to use Poetry rather than PDM. Strict adherence to semantic
 versioning can be problematic in some cases (more on that below).
 ```
 
@@ -289,17 +284,16 @@ versioning can be problematic in some cases (more on that below).
 
 PDM is a full-featured packaging tool. However it is not without challenges:
 
-* Its documentation can be confusing, especially if you are new to
-packaging. For example, PDM doesn't provide an end to end beginning workflow in its documentation.
-* PDM also only has one maintainer currently. We consider individual maintainer
-teams to be a potential risk. If the maintainer finds they no longer have time
-to work on the project, it leaves users with a gap in support. Hatch and Flit
-also have single maintainer teams.
+- Its documentation can be confusing, especially if you are new to
+  packaging. For example, PDM doesn't provide an end to end beginning workflow in its documentation.
+- PDM also only has one maintainer currently. We consider individual maintainer
+  teams to be a potential risk. If the maintainer finds they no longer have time
+  to work on the project, it leaves users with a gap in support. Hatch and Flit
+  also have single maintainer teams.
 
 [You can view an example of a package that uses PDM here](https://github.com/pyOpenSci/examplePy/tree/main/example4_pdm). The README file for this directly provides you with
 an overview of what the PDM command line interface looks like when you use it.
 
-
 ## Flit
 
 [Flit is a no-frills, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
@@ -316,7 +310,7 @@ Publish to PyPI and test PyPI,✅,Flit supports publishing to both test PyPI and
 Helps you add metadata to your pyproject.toml file,✅, .
 Follows current packaging standards,✅,Flit supports current packaging standards for adding metadata to the **pyproject.toml** file.
 Install your package in editable mode,✅,Flit supports installing your package in editable mode. However it does use a slightly different syntax from the usual `pip install -e .` to do so.
-Build your SDist and wheel distributions,✅, .
+Build your sdist and wheel distributions,✅, .
 ```
 
 ```{admonition} Learn more about flit
@@ -330,16 +324,16 @@ beginner you may want to select Hatch or PDM which will offer you more support
 in common operations.
 You may NOT want to use flit if:
 
-* You want to setup more advanced version tracking and management (using version control for version bumping)
-* You want a tool that handles dependency versions (use PDM instead)
-* You have a project that is not pure Python (Use Hatch, PDM or setuptools)
-* Version Support: Flit uses the version from your package's ` __version__`.
+- You want to setup more advanced version tracking and management (using version control for version bumping)
+- You want a tool that handles dependency versions (use PDM instead)
+- You have a project that is not pure Python (Use Hatch, PDM or setuptools)
+- Version Support: Flit uses the version from your package's ` __version__`.
 
 ## Hatch
 
 [**Hatch**](https://hatch.pypa.io/latest/), similar to Poetry and PDM, provides a
 unified command line interface. To separate Hatch from Poetry and PDM, it also
-provides an environment manager for testing that will  make it easier for
+provides an environment manager for testing that will make it easier for
 you to run tests locally across different versions of Python. It also offers a
 nox / makefile like feature that allows you to create custom build workflows such
 as building your documentation locally, that you may have created in the past
@@ -359,14 +353,14 @@ Version Control based versioning,✅ , Hatch offers `hatch_vcs` which is a plugi
 Version bumping, ✅ , Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✅,Hatch supports current packaging standards for adding metadata to the **pyproject.toml** file.
 Install your package in editable mode,✅,Hatch supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
-Build your SDist and wheel distributions,✅, Hatch will build the SDist and wheel distributions
+Build your sdist and wheel distributions,✅, Hatch will build the sdist and wheel distributions
 ✨Matrix environment creation to support testing across Python versions✨,✅, The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
 ✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨, ✅, This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
 ✨A flexible build backend: **hatchling**✨, ✅, **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
 
 ```
 
-_** There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility_
+_\*\* There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility_
 
 <!-- QUESTION: Does hatch allow you to use other envt managers like conda?? i don't see that it does
 so it might be similar to Poetry in that regard -->
@@ -377,12 +371,13 @@ There are a few features that hatch is missing that may be important for some.
 These include:
 
 Hatch:
-* Doesn't support dependency pinning
-* Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
-Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
-* Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
-* Hatch doesn't provide an end to end beginning workflow in it's documentation.
-* Hatch, similar to PDM and Flit currently only has one maintainer.
+
+- Doesn't support dependency pinning
+- Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
+  Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
+- Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
+- Hatch doesn't provide an end to end beginning workflow in it's documentation.
+- Hatch, similar to PDM and Flit currently only has one maintainer.
 
 ```{note}
 You can customize any aspect of the Hatch build by creating plugins.
@@ -406,27 +401,27 @@ is currently undocumented. Thus, we don't recommend using Poetry for more comple
 :widths: 20,5,50
 
 Dependency management,✅,Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
-Dependency pinning,✖✅ ,Poetry offers dependency pinning however it does so in a way that can be problematic for some packages. Read below for more.
-Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or  select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
+Dependency pinning,✖✅ ,Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
+Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
 Publish to PyPI and test PyPI,✅,Poetry supports publishing to both test PyPI and PyPI
 Version Control based versioning,✅ , The plugin (Poetry dynamic versioning)[https://github.com/mtkennerly/poetry-dynamic-versioning] supports versioning using git tags with Poetry.
 Version bumping, ✅ , Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✖✅,Poetry does not quite support current packaging standards for adding metadata to the **pyproject.toml** file but plans to fix this in an upcoming release.
 Install your package in editable mode,✅,Poetry supports installing your package in editable mode using `--editable`
-Build your SDist and wheel distributions,✅,
+Build your sdist and wheel distributions,✅,
 ```
 
 <!-- TODO: update this given responses here: https://github.com/python-poetry/poetry/discussions/7525 -->
+
 ### Challenges with Poetry
 
 Some challenges of Poetry include:
 
-* Poetry pins dependencies using an "upper bound" limit specified with the `^` symbol by default. See breakout below for more regarding why this is potentially problematic.
-* Doesn't support version control based versioning without a plugin
-* *Minor:* The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed when they release version 2.0.
+- Poetry, by default, pins dependencies using an "upper bound" limit specified with the `^` symbol by default. See breakout below for more regarding why this is potentially problematic.
+- _Minor:_ The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed when they release version 2.0.
 
-Poetry is an excellent tool. Use caution when pinning dependencies as
-Poetry's approach to pinning has been showing to be problematic for many builds.
+Poetry is an excellent tool. Use caution when using it to pin dependencies as
+Poetry's approach to pinning can be problematic for many builds.
 
 <!--https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750
 discusses the slight differences in how poetry adds deps....-->
@@ -434,18 +429,18 @@ discusses the slight differences in how poetry adds deps....-->
 ```{admonition} Challenges with Poetry dependency pinning
 :class: important
 
-Poetry pins dependencies using `^` by default. This `^` symbol means that there is
+By default, Poetry pins dependencies using `^` by default. This `^` symbol means that there is
 an "upper bound" to the dependency. Thus poetry will bump a dependency
 version to a new major version. Thus, if your package uses a dependency that
 is at version 1.2.3, Poetry will never bump the dependency to 2.0 even if
 there is a new major version of the package. Poetry will instead bump up to 1.9.x.
 
-Poetry does this because it adheres to strict sesmantic versioning which stats
+Poetry does this because it adheres to strict semantic versioning which states
 that a major version bump (from 1.0 to 2.0 for example) means there are breaking
-changes in the tool. however, not all tools follow strict semantic versioning.
+changes in the tool. However, not all tools follow strict semantic versioning.
 [This approach has been found to be problematic by many of our core scientific packages.](https://iscinumpy.dev/post/bound-version-constraints/)
 
-This approach also won't support over ways of versioning tools, for instance,
+This approach also won't support others ways of versioning tools, for instance,
 some tools use [calver](https://calver.org/) which creates new versions based on the date.
 ```
 
@@ -457,8 +452,8 @@ Hatch: offers matrix environment management that allows you to run tests across
 Python versions. It also offers a Nox / Make file like tool to streamline your
 build workflow.
 PDM: does not offer matrix environments of Nox / Makefile like tools. It does
-offer dependency management but adheres to a >= approach when pinning. This
-avoids the issue described below with Poetry's upper bound pinning.
+offer dependency management but adheres to a >= approach when pinning (open bounds). This
+avoids the issue described below with Poetry's default upper bound pinning.
 ```
 
 ## Using Setuptools Back-end for Python Packaging
@@ -481,40 +476,35 @@ contributors may benefit from understanding it.
 
 Some of features of setuptools include:
 
-* Fully customizable build workflow
-* Many scientific Python packages use it.
-* It offers version control based package versioning using **setuptools_scm**
-* It supports modern packaging using **pyproject.toml** for metadata
-* Supports backwards compatibly for older packaging approaches.
+- Fully customizable build workflow
+- Many scientific Python packages use it.
+- It offers version control based package versioning using **setuptools_scm**
+- It supports modern packaging using **pyproject.toml** for metadata
+- Supports backwards compatibly for older packaging approaches.
 
 ### Challenges using setuptools
 
 Setuptools has a few challenges:
 
-* Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
-not as flexible in its adoption of modern Python packaging
-standards.
-* The above-mentioned backwards compatibility makes for a more complex code-base.
-* Your experience as a user will be less streamlined and simple using setuptools compared to other tools discussed on this page.
+- Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
+  not as flexible in its adoption of modern Python packaging
+  standards.
+- The above-mentioned backwards compatibility makes for a more complex code-base.
+- Your experience as a user will be less streamlined and simple using setuptools compared to other tools discussed on this page.
 
 There are also some problematic default settings that users should be aware of
 when using setuptools. For instance:
 
-* setuptools will build a project without a name or version if you are not using a **pyproject.toml** file
-to store metadata.
-*Setuptools also will include all of the files in your package
-repository if you do not explicitly tell it to exclude files using a
-**MANIFEST.in** file
-
-
-
+- setuptools will build a project without a name or version if you are not using a **pyproject.toml** file
+  to store metadata.
+  \*Setuptools also will include all of the files in your package
+  repository if you do not explicitly tell it to exclude files using a
+  **MANIFEST.in** file
 
 <!-- From stefan: build, run tests on built version, load the built version into
 Python (?how is this different from install??), make editable install, build
 wheel, build sdist -->
 
-
-
 <!--
 The example below is taken from [this thread in GitHub](https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750).
 

From 659ffeba1128496818f01c4b79392c90ac093aab Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 16:44:53 -0600
Subject: [PATCH 13/42] Updated decision tree diagram

---
 images/python-package-tools-decision-tree.png | Bin 315624 -> 504044 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/images/python-package-tools-decision-tree.png b/images/python-package-tools-decision-tree.png
index 67309790c54141c00156eb432e9d819d72010a62..02be6bf4efd01fe1dd873fb7b0c27c4239c18342 100644
GIT binary patch
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From 61b86ebb959a7cf331d0a9b1ba3b28609c139524 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 13 Mar 2023 16:45:32 -0600
Subject: [PATCH 14/42] Update
 package-structure-code/python-package-structure.md

---
 package-structure-code/python-package-structure.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 5d21ab0a..e93cb045 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -58,6 +58,7 @@ that includes tests within the **src/package-name** directory.
 * [bokeh](https://github.com/bokeh/bokeh)
 * [openscm](https://github.com/openscm/openscm-runner)
 * [awkward](https://github.com/scikit-hep/awkward)
+* [poliastro](https://github.com/poliastro/poliastro/)
 ```
 
 #### Pros of the src/ layout

From 4b80f31ef5bc029880bd0109a324c0874813eaa2 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 10:18:30 -0600
Subject: [PATCH 15/42] Update
 package-structure-code/complex-python-package-builds.md

Co-authored-by: Frost Ming <mianghong@gmail.com>
---
 package-structure-code/complex-python-package-builds.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index baee3d44..3063001c 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -51,7 +51,7 @@ Hatch has the worst take on building compiled code by some distance. Unless its
 
  HEnry: Poetry will move to PEP 621 configuration in version 2.
 
-* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
+* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-backend, hatchling and poetry's build back end.
 * poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook. so while some have used it with other back end builds it's not ideal for this application
 * pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
 * hatch both offers a plugin type approach to support custom build steps

From 7ba8292b1d60e568fbe55d830b9897e9f7a1a02d Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 10:20:51 -0600
Subject: [PATCH 16/42] Update package-structure-code/intro.md

Co-authored-by: David Nicholson <NickleDave@users.noreply.github.com>
---
 package-structure-code/intro.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index 976778dc..ac3ca20e 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -15,7 +15,6 @@ performs before a review begins. These checks are useful to explore
 for both authors planning to submit a package to us for review and for
 anyone who is just getting started with creating a Python package.
 
-In general these are basic items that should be in any open software repository.
 ```
 
 ## What you will learn here

From 79474e5c3d9a6e3b7561852a7b539f2d7ed00c44 Mon Sep 17 00:00:00 2001
From: "allcontributors[bot]"
 <46447321+allcontributors[bot]@users.noreply.github.com>
Date: Wed, 15 Mar 2023 16:46:58 +0000
Subject: [PATCH 17/42] docs: update README.md [skip ci]

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index f94bcf2e..5caa5ed6 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # <img src="images/logo/logo.png" width=40 /> pyOpenSci Scientific Python Open Source Packaging Guide
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
-[![All Contributors](https://img.shields.io/badge/all_contributors-18-orange.svg?style=flat-square)](#contributors-)
+[![All Contributors](https://img.shields.io/badge/all_contributors-19-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 ![GitHub release (latest by date)](https://img.shields.io/github/v/release/pyopensci/python-package-guide?color=purple&display_name=tag&style=plastic)
@@ -99,6 +99,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
       <td align="center" valign="top" width="14.28%"><a href="https://pradyunsg.me"><img src="https://avatars.githubusercontent.com/u/3275593?v=4?s=100" width="100px;" alt="Pradyun Gedam"/><br /><sub><b>Pradyun Gedam</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=pradyunsg" title="Code">💻</a> <a href="#design-pradyunsg" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Apradyunsg" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://ofek.dev"><img src="https://avatars.githubusercontent.com/u/9677399?v=4?s=100" width="100px;" alt="Ofek Lev"/><br /><sub><b>Ofek Lev</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=ofek" title="Code">💻</a> <a href="#design-ofek" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Aofek" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://orcid.org/0000-0003-2843-6044"><img src="https://avatars.githubusercontent.com/u/1662261?v=4?s=100" width="100px;" alt="Chiara Marmo"/><br /><sub><b>Chiara Marmo</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=cmarmo" title="Code">💻</a> <a href="#design-cmarmo" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Acmarmo" title="Reviewed Pull Requests">👀</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="http://web.science.mq.edu.au/directory/listing/person.htm?id=tjames"><img src="https://avatars.githubusercontent.com/u/1281144?v=4?s=100" width="100px;" alt="James Tocknell"/><br /><sub><b>James Tocknell</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=aragilar" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Aaragilar" title="Reviewed Pull Requests">👀</a></td>
     </tr>
   </tbody>
 </table>

From fe285d7b58d06e0b8fed71a2ddba3bd3cb2f87aa Mon Sep 17 00:00:00 2001
From: "allcontributors[bot]"
 <46447321+allcontributors[bot]@users.noreply.github.com>
Date: Wed, 15 Mar 2023 16:46:59 +0000
Subject: [PATCH 18/42] docs: update .all-contributorsrc [skip ci]

---
 .all-contributorsrc | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/.all-contributorsrc b/.all-contributorsrc
index 2001a788..a9acb932 100644
--- a/.all-contributorsrc
+++ b/.all-contributorsrc
@@ -193,6 +193,16 @@
         "design",
         "review"
       ]
+    },
+    {
+      "login": "aragilar",
+      "name": "James Tocknell",
+      "avatar_url": "https://avatars.githubusercontent.com/u/1281144?v=4",
+      "profile": "http://web.science.mq.edu.au/directory/listing/person.htm?id=tjames",
+      "contributions": [
+        "code",
+        "review"
+      ]
     }
   ],
   "contributorsPerLine": 7,

From ca414522c44d3a0f65dfe21f821a2cc919a4d492 Mon Sep 17 00:00:00 2001
From: "allcontributors[bot]"
 <46447321+allcontributors[bot]@users.noreply.github.com>
Date: Wed, 15 Mar 2023 17:06:29 +0000
Subject: [PATCH 19/42] docs: update README.md [skip ci]

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5caa5ed6..0586c18a 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # <img src="images/logo/logo.png" width=40 /> pyOpenSci Scientific Python Open Source Packaging Guide
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
-[![All Contributors](https://img.shields.io/badge/all_contributors-19-orange.svg?style=flat-square)](#contributors-)
+[![All Contributors](https://img.shields.io/badge/all_contributors-20-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 ![GitHub release (latest by date)](https://img.shields.io/github/v/release/pyopensci/python-package-guide?color=purple&display_name=tag&style=plastic)
@@ -100,6 +100,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
       <td align="center" valign="top" width="14.28%"><a href="https://ofek.dev"><img src="https://avatars.githubusercontent.com/u/9677399?v=4?s=100" width="100px;" alt="Ofek Lev"/><br /><sub><b>Ofek Lev</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=ofek" title="Code">💻</a> <a href="#design-ofek" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Aofek" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://orcid.org/0000-0003-2843-6044"><img src="https://avatars.githubusercontent.com/u/1662261?v=4?s=100" width="100px;" alt="Chiara Marmo"/><br /><sub><b>Chiara Marmo</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=cmarmo" title="Code">💻</a> <a href="#design-cmarmo" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Acmarmo" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="http://web.science.mq.edu.au/directory/listing/person.htm?id=tjames"><img src="https://avatars.githubusercontent.com/u/1281144?v=4?s=100" width="100px;" alt="James Tocknell"/><br /><sub><b>James Tocknell</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=aragilar" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Aaragilar" title="Reviewed Pull Requests">👀</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://frostming.com"><img src="https://avatars.githubusercontent.com/u/16336606?v=4?s=100" width="100px;" alt="Frost Ming"/><br /><sub><b>Frost Ming</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=frostming" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Afrostming" title="Reviewed Pull Requests">👀</a></td>
     </tr>
   </tbody>
 </table>

From 26f5aa8a13d58156275197ae69c9d3024b73f5d4 Mon Sep 17 00:00:00 2001
From: "allcontributors[bot]"
 <46447321+allcontributors[bot]@users.noreply.github.com>
Date: Wed, 15 Mar 2023 17:06:30 +0000
Subject: [PATCH 20/42] docs: update .all-contributorsrc [skip ci]

---
 .all-contributorsrc | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/.all-contributorsrc b/.all-contributorsrc
index a9acb932..91e97f46 100644
--- a/.all-contributorsrc
+++ b/.all-contributorsrc
@@ -203,6 +203,16 @@
         "code",
         "review"
       ]
+    },
+    {
+      "login": "frostming",
+      "name": "Frost Ming",
+      "avatar_url": "https://avatars.githubusercontent.com/u/16336606?v=4",
+      "profile": "https://frostming.com",
+      "contributions": [
+        "code",
+        "review"
+      ]
     }
   ],
   "contributorsPerLine": 7,

From b64b59a7352be422faa01c5b074f2024e809634f Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 11:24:53 -0600
Subject: [PATCH 21/42] Fix: many more comments from review 2

---
 index.md                                      | 17 ++---
 .../complex-python-package-builds.md          | 43 +++++------
 .../pyproject-toml-python-package-metadata.md | 18 ++---
 .../python-package-build-tools.md             | 45 +++++++----
 ...-package-distribution-files-sdist-wheel.md | 28 ++++---
 .../python-package-structure.md               | 76 ++++++++++---------
 6 files changed, 115 insertions(+), 112 deletions(-)

diff --git a/index.md b/index.md
index 6f004bf4..1f85ac0d 100644
--- a/index.md
+++ b/index.md
@@ -1,13 +1,13 @@
 # pyOpenSci Python Open Source Package Development Guide
 
-
 ```{toctree}
 :hidden:
 :caption: Documentation
 
-Documentation Overview <documentation/index>
+Documentation <documentation/index>
 
 ```
+
 ```{toctree}
 :hidden:
 :caption: Packaging
@@ -45,7 +45,6 @@ community make decisions around how to create scientific Python packages. We are
 :columns: 8
 :class: sd-fs-3
 
-
 ```{button-link} https://www.pyopensci.org/about-peer-review/
 :color: primary
 :class: sd-rounded-pill float-left
@@ -61,7 +60,6 @@ Learn about our open peer review process
 :::
 ::::
 
-
 <!-- I think this is the end of the header - below begins the next grid-->
 
 ::::{grid} 1 1 2 2
@@ -92,7 +90,6 @@ commonly used in the scientific Python community.
 All of the modern tools discussed in this guide will help you build an efficient packaging workflow. This section helps you select the tool that will work best for you.
 :::
 
-
 :::{grid-item-card}
 :link: CONTRIBUTING
 :link-type: doc
@@ -106,6 +103,7 @@ contribute.
 ::::
 
 ## Who this guidebook is for
+
 We assume that you are here because you are:
 
 1. Looking for guidance on creating a Python package.
@@ -118,9 +116,9 @@ Well, friend, you've come to the right place!
 
 This guidebook contains:
 
-* Explanation for "Good enough" minimum requirements associated with being reviewed by pyOpenSci
-* Explanation of better and best practices in case you want to set the bar higher for your package (which we hope you will)!
-* A curated list of resources to help you get your package into documented, usable and tested shape.
+- Explanation for "Good enough" minimum requirements associated with being reviewed by pyOpenSci
+- Explanation of better and best practices in case you want to set the bar higher for your package (which we hope you will)!
+- A curated list of resources to help you get your package into documented, usable and tested shape.
 
 ## Where this guide is headed
 
@@ -131,9 +129,6 @@ Good meets the requirements. Going beyond the minimum can make package maintenan
 This guide is now a work in progress. If you have ideas of things you'd like
 to see here, [we invite you to open an issue on GitHub that details any changes or additions that you'd like to see.](https://github.com/pyOpenSci/python-package-guide/issues).
 
-
-
-
 <!--
 COMMENTED OUT TEXT TO BE MOVED
 
diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 3063001c..c86da082 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -9,15 +9,13 @@ In the future, we want to provide resources for packaging workflows that require
 
 You can classify Python package complexity into three general categories. These
 categories can in turn help you select the correct package front-end and
-back end tools.
+back-end tools.
 
 1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
-has the features that you want and be done with your decision!
+   has the features that you want and be done with your decision!
 2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back end of choice. We will discuss this at a high level on the complex builds page.
-3.**Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
-or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
-
+   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page. 3.**Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+   or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
 
 <!--
 On this page, we will focus on using front-end tools to package pure python
@@ -45,17 +43,17 @@ ELI: It would be more accurate to say that PDM supports using PDM and setuptools
 Hatch - https://hatch.pypa.io/latest/config/build/#build-hooks uild hooks
 
 Ralf -
-Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build backend hooks in pyproject.toml, it's pretty much a dead end.
+Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build back-end hooks in pyproject.toml, it's pretty much a dead end.
 ****
 
 
  HEnry: Poetry will move to PEP 621 configuration in version 2.
 
-* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-backend, hatchling and poetry's build back end.
-* poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook. so while some have used it with other back end builds it's not ideal for this application
+* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
+* poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook. so while some have used it with other back-end builds it's not ideal for this application
 * pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
 * hatch both offers a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
 At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
 
 
@@ -68,42 +66,40 @@ part of your packaging steps. These tools also support some C and C++
 extensions.
 
 
-OFEK - Why use hatchlin vs pdm back end -
+OFEK - Why use hatchlin vs pdm back-end -
 File inclusion is more configurable and easier by default
 There is already a rich ecosystem of plugins and a well-thought-out interface
 Consistency since the official Python packaging tutorial uses Hatchling by default
 
 
 Henry -
-The scikit-hep cookie provides 11 backends including flit-core and hatchling, and I've moved packaging to flit-core, and lots of other things to hatchling, and I can say that hatching's defaults are much nicer than flit-core's. Hatching uses .gitignore to decide what to put in the SDist. Flit-core basically tries to keep its hands off of adding defaults, so you have to configure everything manually. To make it even more confusing, if you use flit instead of a standard tool like build, it will switch to using VCS and those ignored files won't be added - meaning it is really easy to have a project that doesn't support build, including various GitHub Actions. Hatchling wins this by a ton.
+The scikit-hep cookie provides 11 back-ends including flit-core and hatchling, and I've moved packaging to flit-core, and lots of other things to hatchling, and I can say that hatching's defaults are much nicer than flit-core's. Hatching uses .gitignore to decide what to put in the sdist. Flit-core basically tries to keep its hands off of adding defaults, so you have to configure everything manually. To make it even more confusing, if you use flit instead of a standard tool like build, it will switch to using VCS and those ignored files won't be added - meaning it is really easy to have a project that doesn't support build, including various GitHub Actions. Hatchling wins this by a ton.
 
-<!-- TODO: add - compatible with other build back ends eg pdm can work with hatchling
+<!-- TODO: add - compatible with other build back-ends eg pdm can work with hatchling
 
 Eli:
 poetry: supports it, but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
-pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
+pdm-back-end: supports it, and documents it -- and also uses setuptools under the hood
 hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
 
 -->
 
-
-
 <!-- from eli about pdm
 It would be more accurate to say that PDM supports using PDM and setuptools at the same time, so you run setuptools to produce the C extensions and then PDM receives the compiled extension files (.so, .pyd) and packages it up alongside the pure Python files.
 
 Comment about hatch.
 https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1081108118
 
-From ralf: There are no silver bullets here yet, no workflow tool is complete. Both Hatch and PDM are single-author tools, which is another concern. @eli-schwartz's assessment is unfortunately correct here I believe (at a high level at least, not sure about details). Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build backend hooks in pyproject.toml, it's pretty much a dead end.
+From ralf: There are no silver bullets here yet, no workflow tool is complete. Both Hatch and PDM are single-author tools, which is another concern. @eli-schwartz's assessment is unfortunately correct here I believe (at a high level at least, not sure about details). Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build back-end hooks in pyproject.toml, it's pretty much a dead end.
 
 -->
 
 <!--TODO Add examples of builds using each of the tools below?
 
-pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
-poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook.
+pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
+poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook.
 PDM and hatch both offer a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
 At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
 
 CORRECTIONS:
@@ -125,10 +121,10 @@ build back-ends such as **meson** and **scikit-build**.
 
 
 me:
-pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back end.
-poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back end like meson to build via a build hook.
+pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
+poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook.
 PDM and hatch both offer a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back ends (hatch is working on this - 2 minor releases away)
+PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
 At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
 @eli-schwartz eli-schwartz 3 weeks ago
 PDM and hatch both offer a plugin type approach to support custom build steps
@@ -141,7 +137,6 @@ pdm and poetry both rely on setuptools for C extensions. pdm's support claims to
 https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
 -->
 
-
 <!-- https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1071541329
 ELI: A complex build could mean running a python script that processes some data file and produces a pure python module file.
 
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
index 666d87eb..96fcb390 100644
--- a/package-structure-code/pyproject-toml-python-package-metadata.md
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -30,15 +30,16 @@ resources working with complex builds in the future.
 ```
 
 ### Example pyproject.toml for building using PDM
+
 Below is an example build configuration for a Python project. This example
 package setup uses:
 
-* **pdm.pep517.api** to build the [package's SDist and wheels](python-package-distribution-files-sdist-wheel)
+- **pdm.pep517.api** to build the [package's sdist and wheels](python-package-distribution-files-sdist-wheel)
 
 ```
 [build-system]
 requires = ["pdm-pep517>=1.0.0"]
-build-backend = "pdm.pep517.api"
+build-back-end = "pdm.pep517.api"
 
 [project]
 name = "examplePy"
@@ -56,6 +57,7 @@ dependencies = [
     "dependency-package-name-2",
 ]
 ```
+
 Notice that dependencies are specified in this file.
 
 ### Example pyproject.toml for building using setuptools
@@ -66,19 +68,19 @@ Notice how simple it is to swap out the tools needed to build this package!
 
 In this example package setup you use:
 
-* **setuptools** to build the [package's SDist and wheels](python-package-distribution-files-sdist-wheel)
-* **setuptools_scm** to manage package version updates using version control tags
+- **setuptools** to build the [package's sdist and wheels](python-package-distribution-files-sdist-wheel)
+- **setuptools_scm** to manage package version updates using version control tags
 
 In the example below `[build-system]` is the first table
-of values. It has two keys that specify the build front end and backend for a package:
+of values. It has two keys that specify the build front end and back-end for a package:
 
 1. `requires =`
-1. `build-backend =`
+1. `build-back-end =`
 
 ```
 [build-system]
 requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
-build-backend = "setuptools.build_meta"
+build-back-end = "setuptools.build_meta"
 
 [project]
 name = "examplePy"
@@ -97,8 +99,6 @@ dependencies = [
 ]
 ```
 
-
-
 ```{note}
 [Click here to read about our packaging build tools including PDM, setuptools, Poetry and Hatch.](/package-structure-code/python-package-build-tools)
 ```
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 07c4c5c3..edc24537 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -21,6 +21,18 @@ NOTE: this is still a DRAFT so i'm not going to spend time truly cleaning it up
 If you want to know more about Python packages that have extensions written in
 other languages, [check out the page on complex package builds.](complex-python-package-builds)
 
+### Tools that we review here
+
+In this section we have selected tools that were returned
+as the most popular packaging tools in the PyPA survey.
+You will learn more about the following tools on this page:
+
+- [Twine](https://twine.readthedocs.io/en/stable/), [Build](https://pypa-build.readthedocs.io/en/stable/) + [setuptools](https://setuptools.pypa.io/en/latest/)
+- [Flit](https://flit.pypa.io/en/stable/)
+- [Hatch](https://hatch.pypa.io/latest/)
+- [PDM](https://pdm.fming.dev/latest/)
+- [Poetry](https://python-poetry.org/docs/)
+
 ## Build front-end vs. build back-end tools
 
 To better understand your options, when it comes to building a Python package, it's important to first understand the difference between a
@@ -99,6 +111,7 @@ For instance, you can use the packaging tools **Flit**, **Hatch** or **PDM**
 to both build and publish your package to PyPI. However while **Hatch** and
 **PDM** support versioning and environment management, **Flit** does not. If you want a tool that supports dependency
 locking, you can use **PDM** or **Poetry** but not **Hatch**.
+If you only need to build your package's sdist and wheel distribution files, then you can stick with PyPA's Build. You'd then use Twine to publish to PyPI.
 
 ```{note}
 If you are using **Setuptools**, there is no user-friendly build front-end that performs multiple tasks. You will need to use **build** to build your package and **twine** to publish to PyPI.
@@ -116,7 +129,7 @@ hatch build
 hatch publish --repository testpypi
 ```
 
-Example build steps using the **setuptools** backend and **build**:
+Example build steps using the **setuptools** back-end and **build**:
 
 ```bash
 # Build the package
@@ -136,15 +149,15 @@ discussed below is:
 - How configurable they are - for example, do they allow you to add build steps that support non python extensions?
 - How much you need to configure them to ensure the correct files are included in your sdist and wheel distributions.
 
-### Build backend support for non pure-python packages
+### Build back-end support for non pure-python packages
 
 It is important to note that some build back-ends, such as **Flit-core**, only support
-pure Python builds. Other back ends support C and C++ extensions as follows:
+pure Python builds. Other back-ends support C and C++ extensions as follows:
 
 - setuptools supports builds using C / C++ extensions
-- Hatchling (hatch's backend) supports C / C++ extensions via plugins that the developer creates to customize a build
-- PDM's backend supports C / C++ extensions by using setuptools
-- Poetry's backend supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex or non pure Python builds until it is documented.
+- Hatchling (hatch's back-end) supports C / C++ extensions via plugins that the developer creates to customize a build
+- PDM's back-end supports C / C++ extensions by using setuptools
+- Poetry's back-end supports C/C++ extensions however this functionality is currently undocumented. As such we don't recommend using Poetry for complex or non pure Python builds until it is documented.
 
 While we won't discuss more complex builds below, we will identify which tools
 have documented support for C / C++ extensions.
@@ -162,12 +175,12 @@ We suggest that you pick one of the modern tools listed above rather than
 setuptools because setuptools will require some additional knowledge
 to set up correctly.
 
-We review setuptools as a backend because it is still popular. However it is
+We review setuptools as a back-end because it is still popular. However it is
 not the most user friendly option.
 ```
 
 The most commonly used tools in the ecosystem are
-setuptools backend (with build) and Poetry (a front end tool with numerous
+setuptools back-end (with build) and Poetry (a front end tool with numerous
 features and excellent documentation).
 
 :::{figure-md} pypa-survey-plot
@@ -196,7 +209,7 @@ questions:
 
 1. **Does your tool have a few C or C++ extensions?** Great, we suggest using
    **PDM** for the time being. It is the only tool in the list below that has documented
-   workflow to support such extensions. It also supports other backends such as scikit-build and meson-python that will allow you to fully customize your build.
+   workflow to support such extensions. It also supports other back-ends such as scikit-build and meson-python that will allow you to fully customize your build.
 
 NOTE: You can also use Hatch for non pure python builds but you will need to
 write your own plugin for this support.
@@ -237,7 +250,7 @@ More than one maintainer? (bus factor),✖,✖, ✖, ✅
 
 Notes:
 
-- _Hatch plans to support using other backends and dependency management in the future_
+- _Hatch plans to support using other back-ends and dependency management in the future_
 - Poetry supports semantic versioning. Thus, it will support version bumping following commit messages if you use a tool such as Python Semantic Release
 
 ## PDM
@@ -248,9 +261,9 @@ support for projects that have C and C++ extensions.
 
 ```{admonition} PDM support for C and C++ extensions
 
-PDM supports using the PDM-backend and setuptools at the same time.
+PDM supports using the PDM-back-end and setuptools at the same time.
 This means that you can run setuptools to compile and build C extensions.
-PDM's build backend receives the compiled extension files (.so, .pyd) and
+PDM's build back-end receives the compiled extension files (.so, .pyd) and
 packages them with the pure Python files.
 ```
 
@@ -345,7 +358,7 @@ using a tool like **Make** or **Nox**.
 :header: Feature, Hatch, Notes
 :widths: 20,5,50
 
-Use Other Build Backends,✖, Switching out build back ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
+Use Other Build Backends,✖, Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
 Dependency management,✅,Hatch can help you add dependencies to your `pyproject.toml` metadata.
 **??does hatch support this - i forget?** Select your environment manager of choice (conda; venv; etc),✅ , Hatch allows you to select the environment manager that you want to use for managing your package.
 Publish to PyPI and test PyPI,✅,Hatch supports publishing to both test PyPI and PyPI
@@ -356,7 +369,7 @@ Install your package in editable mode,✅,Hatch supports installing your package
 Build your sdist and wheel distributions,✅, Hatch will build the sdist and wheel distributions
 ✨Matrix environment creation to support testing across Python versions✨,✅, The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
 ✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨, ✅, This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
-✨A flexible build backend: **hatchling**✨, ✅, **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
+✨A flexible build back-end: **hatchling**✨, ✅, **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
 
 ```
 
@@ -373,7 +386,7 @@ These include:
 Hatch:
 
 - Doesn't support dependency pinning
-- Currently doesn't support use with other build back ends. Lack of support for other build back ends makes Hatch less desirable for users with more complex package builds. If your package is pure
+- Currently doesn't support use with other build back-ends. Lack of support for other build back-ends makes Hatch less desirable for users with more complex package builds. If your package is pure
   Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
 - Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
 - Hatch doesn't provide an end to end beginning workflow in it's documentation.
@@ -566,7 +579,7 @@ dev = [
 From Eli:
 
 poetry: supports it (c extensions), but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
-pdm-backend: supports it, and documents it -- and also uses setuptools under the hood
+pdm-back-end: supports it, and documents it -- and also uses setuptools under the hood
 hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
 
 
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index 332cec08..d481e149 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -2,7 +2,7 @@
 
 There are two core distribution files
 that you need to create to publish your Python package to
-PyPI source distribution (often called an sdist) and wheel. The SDist contains the raw source
+PyPI source distribution (often called an sdist) and wheel. The sdist contains the raw source
 code for your package. The Wheel (.whl) contains the built / compiled files
 that can be directly installed onto anyones' computer.
 
@@ -10,7 +10,7 @@ Learn more about both distributions below.
 
 ```{note}
 If your package is a pure python package with no additional
-build / compilation steps then the SDist and Wheel distributions will have
+build / compilation steps then the sdist and Wheel distributions will have
 similar content. However if your package has extensions in other languages
 or is more complex in its build, the two distributions will be very different.
 
@@ -18,17 +18,17 @@ Also note that we are not discussing conda build workflows in this section.
 [You can learn more about conda builds here.](https://conda.io/projects/conda-build/en/latest/user-guide/tutorials/index.html)
 ```
 
-### Source Distribution (SDist)
+### Source Distribution (sdist)
 
 **Source files** are the unbuilt files needed to build your
 package. These are the "raw / as-is" files that you store on GitHub or whatever
 platform you use to manage your code.
 
-**S**ource **D**istributions are referred to as SDist.  As the name implies, a SDIST contains the source code; it has not been
+**S**ource **D**istributions are referred to as sdist. As the name implies, a SDIST contains the source code; it has not been
 built or compiled in any way. Thus, when a user installs your source
-distribution using pip, pip needs to run a build step first. SDist is normally stored as a `.tar.gz` archive (often called a "tarball").
+distribution using pip, pip needs to run a build step first. Sdist is normally stored as a `.tar.gz` archive (often called a "tarball").
 
-Below is an example SDist for the stravalib Python package:
+Below is an example sdist for the stravalib Python package:
 
 <!-- TODO: we should likely use a different pure python package with a src/ layout for
 consistency -->
@@ -112,19 +112,17 @@ distribution.
 
 The wheel (.whl) is your built binary distribution. **Binary files** are the built / compiled source files. These files are ready to be installed. A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps.
 
- The wheel does not contain any of your
+The wheel does not contain any of your
 packages configuration files such as **setup.cfg** or **pyproject.toml**. This
 distribution is already built so it's ready to install.
 
 Because it is built, the wheel file will be faster to install for pure Python
 projects and can lead to consistent installs across machines.
 
-
 <!-- TODO - i need to clarify this as i've gotten mixed feedback on the
 real security issues with this IF the whl is already built and that file isn't
 included what is the issue? i need more input here-->
 
-
 ```{tip}
 Wheels are also useful in the case that a package
 needs a **setup.py** file to support a more complex build.
@@ -137,12 +135,12 @@ The filename of a wheel contains important metadata about your package.
 
 Example: **stravalib-1.1.0.post2-py3-none.whl**
 
-* packageName: stravalib
-* packageVersion: 1.1.0
-* build-number: 2 (post2) [(read more about post here)](https://peps.python.org/pep-0440/#post-release-separators)
-* py3: supports Python 3.x
-* none: is not operating system specific (runs on windows, mac, linux)
-* any: runs on any computer processor / architecture
+- packageName: stravalib
+- packageVersion: 1.1.0
+- build-number: 2 (post2) [(read more about post here)](https://peps.python.org/pep-0440/#post-release-separators)
+- py3: supports Python 3.x
+- none: is not operating system specific (runs on windows, mac, linux)
+- any: runs on any computer processor / architecture
 
 What a wheel file looks like when unpacked (unzipped):
 
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index e93cb045..d49ec9be 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -4,12 +4,12 @@
 
 There are several core directories that should be included in all Python packages:
 
-* **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
-* **tests/** this directory contains the tests for your project code
-* **package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
-
+- **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
+- **tests/** this directory contains the tests for your project code
+- **package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
 
 ## Src vs flat layouts
+
 There are two different layouts that you will commonly see
 within the Python packaging ecosystem:
 [src and flat layouts.](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
@@ -63,15 +63,21 @@ that includes tests within the **src/package-name** directory.
 
 #### Pros of the src/ layout
 
-The benefits of the  **src/package-name** layout approach include:
+The benefits of the **src/package-name** layout include:
+
+- It ensures that tests always run on the installed version of your
+  package rather than on the flat files imported directly from your package. If you run your tests on your flat files, you may be missing issues that users encounter when your package is installed.
+- If `tests/` are outside of the **src/package-name** directory, they aren't by default
+  delivered to a user
+  installing your package. However, you can chose to add them to the package archive (which is a good idea). When test files (.py files only) are not included in the package archive your package size will be slightly smaller.
+
+```{admonition} A note about including tests and data in your package distribution
+If you decide to include tests in your package, be sure to read the testing section of our guide. Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages. As such you
+will want to ensure that large tests datasets are not included in your package distribution.
+```
 
-* It ensures that tests always run on the installed version of your
-package rather than on the flat files imported directly from your package. If you run your tests on your flat files, you may be missing issues that users may encounter with your package when it's installed.
-* If `tests/` are outside of the **src/package-name** directory, they aren't by default
-delivered to a user
-installing your package. However, you can chose to add them to the package archive. When tests are not included in the package archive your package size will be slightly smaller.
-* The **src/package-name** layout is semantically more clear. Code is always found in the
-**src/package-name** directory, `tests/` and `docs/`are in the root directory.
+- The **src/package-name** layout is semantically more clear. Code is always found in the
+  **src/package-name** directory, `tests/` and `docs/`are in the root directory.
 
 ```{tip}
 * [Read more about reasons to use the **src/package-name** layout](https://hynek.me/articles/testing-packaging/)
@@ -105,11 +111,11 @@ In the above example, notice that all of the core documentation files that
 pyOpenSci requires live in the root of your project directory. These files
 include:
 
-* CHANGELOG.md
-* CODE_OF_CONDUCT.md
-* CONTRIBUTING.md
-* LICENSE.txt
-* README.md
+- CHANGELOG.md
+- CODE_OF_CONDUCT.md
+- CONTRIBUTING.md
+- LICENSE.txt
+- README.md
 
 Also note that there is a **docs/** directory at the root where your user-facing
 documentation website lives.
@@ -121,7 +127,6 @@ documentation website lives.
 Click here to read about our packaging documentation requirements.
 ```
 
-
 ```{important}
 If your package tests require data, we suggest that you do NOT include that
 data within your package structure. We will discuss this in more detail in a
@@ -134,19 +139,18 @@ anaconda cloud that have to deal with thousands of package uploads.
 
 Currently most scientific packages use the **flat-layout** given:
 
-* It's the most commonly found layout with the scientific Python ecosystem and
-people tend to look to other packages / maintainers that they respect for examples
-of how to build Python packages.
-* Many Python tools depend upon tools in other language and / or complex builds
-with compilation steps. Many developers thus appreciate / are used to features
-of the flat layout.
+- It's the most commonly found layout with the scientific Python ecosystem and
+  people tend to look to other packages / maintainers that they respect for examples
+  of how to build Python packages.
+- Many Python tools depend upon tools in other language and / or complex builds
+  with compilation steps. Many developers thus appreciate / are used to features
+  of the flat layout.
 
 While we present this layout here in our guide, we suggest that those just
 getting started with python packaging start with the src/package-name layout
 discussed above. Numerous packages in the ecosystem [have had to move to a
 src/ layout](https://github.com/scikit-build/cmake-python-distributions/pull/145)
 
-
 ```{admonition} Why most scientific Python packages do not use source
 :class: tip
 
@@ -164,9 +168,9 @@ that you consider using a  **src/package-name** layout.
 
 The flat layout's primary characteristics are:
 
-* The source code for your package lives in a directory with your package's
-name in the root of your directory
-* Often the `tests/` directory also lives within that same `package-name` directory.
+- The source code for your package lives in a directory with your package's
+  name in the root of your directory
+- Often the `tests/` directory also lives within that same `package-name` directory.
 
 Below you can see the recommended structure of a scientific Python package
 using the flat layout.
@@ -190,19 +194,17 @@ myPackage/
         └── ....             ┘
 ```
 
-
 ### Benefits of using the flat layout in your Python package
 
 There are some benefits to the scientific community in using the flat layout.
 
-* This structure has historically been used across the ecosystem and packages
-using it are unlikely to change.
-* You can directly import the package directly from the root directory. For
-some this is engrained in their respective workflows. However, for a beginner
-the danger of doing this is that you are not developing and testing against the
-installed version of your package. Rather, you are working directly with the
-flat files.
-
+- This structure has historically been used across the ecosystem and packages
+  using it are unlikely to change.
+- You can directly import the package directly from the root directory. For
+  some this is engrained in their respective workflows. However, for a beginner
+  the danger of doing this is that you are not developing and testing against the
+  installed version of your package. Rather, you are working directly with the
+  flat files.
 
 ```{admonition} Core scientific Python packages that use the flat layout
 :class: tip

From 40eb8c605d88ef7f3d3e6fb038f42c48f2c04316 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 12:44:14 -0600
Subject: [PATCH 22/42] A few more fixes to the build tools page

---
 .../python-package-build-tools.md              | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index edc24537..b78e2ff3 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -274,14 +274,14 @@ packages them with the pure Python files.
 :widths: 20,5,50
 
 Use Other Build Backends, ✅, When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
-Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. However their default approach to creating lock files is different: Poetry uses an upper bound lock approach `^` by default. <!--Most users won't know what upper bound means--> PDM uses an open lock `>=` approach. Lock files might be most useful to developers creating web apps where locking the environment is critical for consistent user experience.
+Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. Their default dependency constraint approach to creating lock files is different: Poetry uses a default [upper bound lock](https://python-poetry.org/docs/dependency-specification/#version-constraints) `^`. This means that Poetry will always never bump a dependency to the next major version (ie from 1.2 to 2.0). PDM uses an open lock `>=` approach by default but also allows you to [customize how you want locking constraints to be implemented](https://pdm.fming.dev/latest/usage/dependency/#about-update-strategy). Thus with PDM you can explicitly tell it to lock using upper bounds like Poetry. Or you can tell it to use other strategies. This makes PDM one of the most flexible tools for creating lock files. Lock files are often most useful to developers creating web apps where locking the environment is critical for consistent user experience.
 Select your environment manager of choice (conda; venv; etc),✅ , PDM allows you to select the environment manager that you want to use for managing your package.
 Publish to PyPI,✅,PDM supports publishing to both test PyPI and PyPI
 Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it which allows you to use dynamic versioning that rely on git tags.
 Version bumping, ✅ , PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
 Install your package in editable mode,✅,PDM supports installing your package in editable mode.
-Build your sdist and wheel distributions,✅,
+Build your sdist and wheel distributions,✅, Similar to all of the other tools PDM builds your packages sdist and wheel files for you.
 ✨Optional use of PEP 582 / local environment directory✨,✅, PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__packages__` directory in your working package directory).
 ```
 
@@ -311,7 +311,7 @@ an overview of what the PDM command line interface looks like when you use it.
 
 [Flit is a no-frills, streamlined packaging tool](https://flit.pypa.io/en/stable/) that supports modern Python packaging standards.
 Flit is a great choice if you are
-building a basic package to use in a local workflow that doesn't require any advanced features. More on that below.
+building a basic package to use in a local workflow that doesn't require any advanced features. And if your package structure is already created. More on that below.
 
 ### Flit Features
 
@@ -360,12 +360,12 @@ using a tool like **Make** or **Nox**.
 
 Use Other Build Backends,✖, Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
 Dependency management,✅,Hatch can help you add dependencies to your `pyproject.toml` metadata.
-**??does hatch support this - i forget?** Select your environment manager of choice (conda; venv; etc),✅ , Hatch allows you to select the environment manager that you want to use for managing your package.
+Select your environment manager of choice (conda; venv; etc),✅ , Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
 Publish to PyPI and test PyPI,✅,Hatch supports publishing to both test PyPI and PyPI
 Version Control based versioning,✅ , Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
 Version bumping, ✅ , Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✅,Hatch supports current packaging standards for adding metadata to the **pyproject.toml** file.
-Install your package in editable mode,✅,Hatch supports installing your package in editable mode. **TODO: add info - does it support this and what does that look like? i think it does it when you create an envt??**
+Install your package in editable mode,✖✅, You can install your package in editable mode using `pip install -e .` Hatch mentions [editable installs](https://hatch.pypa.io/latest/config/build/#dev-mode) but refers to pip in its documentation.
 Build your sdist and wheel distributions,✅, Hatch will build the sdist and wheel distributions
 ✨Matrix environment creation to support testing across Python versions✨,✅, The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
 ✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨, ✅, This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
@@ -414,14 +414,14 @@ is currently undocumented. Thus, we don't recommend using Poetry for more comple
 :widths: 20,5,50
 
 Dependency management,✅,Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
-Dependency pinning,✖✅ ,Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
+Dependency pinning,✅ ,Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
 Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
 Publish to PyPI and test PyPI,✅,Poetry supports publishing to both test PyPI and PyPI
-Version Control based versioning,✅ , The plugin (Poetry dynamic versioning)[https://github.com/mtkennerly/poetry-dynamic-versioning] supports versioning using git tags with Poetry.
+Version Control based versioning,✅ , The plugin [Poetry dynamic versioning](https://github.com/mtkennerly/poetry-dynamic-versioning) supports versioning using git tags with Poetry.
 Version bumping, ✅ , Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
 Follows current packaging standards,✖✅,Poetry does not quite support current packaging standards for adding metadata to the **pyproject.toml** file but plans to fix this in an upcoming release.
 Install your package in editable mode,✅,Poetry supports installing your package in editable mode using `--editable`
-Build your sdist and wheel distributions,✅,
+Build your sdist and wheel distributions,✅,Poetry will build your sdist and wheel distributions using `poetry build`
 ```
 
 <!-- TODO: update this given responses here: https://github.com/python-poetry/poetry/discussions/7525 -->
@@ -469,7 +469,7 @@ offer dependency management but adheres to a >= approach when pinning (open boun
 avoids the issue described below with Poetry's default upper bound pinning.
 ```
 
-## Using Setuptools Back-end for Python Packaging
+## Using Setuptools Back-end for Python Packaging with Build Front-end
 
 [Setuptools](https://setuptools.pypa.io/en/latest/) is the most
 mature Python packaging build tool with [development dating back to 2009 and earlier](https://setuptools.pypa.io/en/latest/history.html#).

From 1cbae6395ef88cf6afecbc037932dcd56b6d0dde Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 18:37:21 -0600
Subject: [PATCH 23/42] Update
 package-structure-code/complex-python-package-builds.md

Co-authored-by: Henry Schreiner <HenrySchreinerIII@gmail.com>
---
 package-structure-code/complex-python-package-builds.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index c86da082..11435016 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -14,7 +14,8 @@ back-end tools.
 1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
    has the features that you want and be done with your decision!
 2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page. 3.**Python packages that have extensions written in different languages (e.g. fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page.
+3.**Python packages that have extensions written in different languages (e.g. Fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
    or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
 
 <!--

From fbf3ded0305d46059ffa4c90731f35ffd40b91d9 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 18:42:37 -0600
Subject: [PATCH 24/42] Update
 package-structure-code/python-package-distribution-files-sdist-wheel.md

Co-authored-by: Henry Schreiner <HenrySchreinerIII@gmail.com>
---
 .../python-package-distribution-files-sdist-wheel.md            | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index d481e149..b55868e6 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -110,7 +110,7 @@ pyproject.toml file. The pyproject.toml and other files that may be included in
 source distributions are not included in wheels because it is a built
 distribution.
 
-The wheel (.whl) is your built binary distribution. **Binary files** are the built / compiled source files. These files are ready to be installed. A wheel (**.whl**) is a **.zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps.
+The wheel (.whl) is your built binary distribution. **Binary files** are the built / compiled source files. These files are ready to be installed. A wheel (**.whl**) is a **zip** file containing all of the files needed to directly install your package. All of the files in a wheel are binaries - this means that code is already compiled / built. Wheels are thus faster to install - particularly if you have a package that requires build steps.
 
 The wheel does not contain any of your
 packages configuration files such as **setup.cfg** or **pyproject.toml**. This

From b082fb1a3066f43aee503f2dbd532cbb34159c3e Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 15 Mar 2023 18:43:21 -0600
Subject: [PATCH 25/42] Fix: csv table delim and numerous other review fixes

---
 .../complex-python-package-builds.md          |   2 +-
 .../pyproject-toml-python-package-metadata.md |   6 +-
 .../python-package-build-tools.md             | 101 +++++++++---------
 3 files changed, 56 insertions(+), 53 deletions(-)

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 11435016..4078a662 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -50,7 +50,7 @@ Hatch has the worst take on building compiled code by some distance. Unless its
 
  HEnry: Poetry will move to PEP 621 configuration in version 2.
 
-* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
+* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-backend, hatchling and poetry's build back-end.
 * poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook. so while some have used it with other back-end builds it's not ideal for this application
 * pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
 * hatch both offers a plugin type approach to support custom build steps
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
index 96fcb390..3f89a3db 100644
--- a/package-structure-code/pyproject-toml-python-package-metadata.md
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -34,12 +34,12 @@ resources working with complex builds in the future.
 Below is an example build configuration for a Python project. This example
 package setup uses:
 
-- **pdm.pep517.api** to build the [package's sdist and wheels](python-package-distribution-files-sdist-wheel)
+- **pdm.backend** to build the [package's sdist and wheels](python-package-distribution-files-sdist-wheel)
 
 ```
 [build-system]
-requires = ["pdm-pep517>=1.0.0"]
-build-back-end = "pdm.pep517.api"
+requires = ["pdm-backend>=1.0.0"]
+build-back-end = "pdm.backend"
 
 [project]
 name = "examplePy"
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index b78e2ff3..d65e578a 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -238,14 +238,15 @@ included in the table.
 ```{csv-table}
 :header: Feature, Flit, Hatch, PDM, Poetry
 :widths: 36, 10,10,10,10
-
-Default Build Back-end, Flit-core, hatchling, PDM, Poetry-core
-Use Other Build Backends,✖ , ✖,✅  ,✖
-Dependency management, ✖,✖,✅,✅
-Publish to PyPI, ✅,✅,✅,✅
-Version Control based versioning (using `git tags`),✖,✅,✅,✅
-Version bumping,✖,✅, ✅, ✅
-More than one maintainer? (bus factor),✖,✖, ✖, ✅
+:delim: "|"
+
+Default Build Back-end| Flit-core| hatchling| PDM| Poetry-core
+Use Other Build Backends|✖ | ✖|✅  |✖
+Dependency management| ✖|✖|✅|✅
+Publish to PyPI| ✅|✅|✅|✅
+Version Control based versioning (using `git tags`)|✖|✅|✅|✅
+Version bumping|✖|✅| ✅| ✅
+More than one maintainer? (bus factor)|✖|✖| ✖| ✅
 ```
 
 Notes:
@@ -272,17 +273,18 @@ packages them with the pure Python files.
 ```{csv-table}
 :header: Feature, PDM, Notes
 :widths: 20,5,50
-
-Use Other Build Backends, ✅, When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
-Dependency management & lock files ,✅,PDM and Poetry are currently the only tools that support creating dependency lock files. Their default dependency constraint approach to creating lock files is different: Poetry uses a default [upper bound lock](https://python-poetry.org/docs/dependency-specification/#version-constraints) `^`. This means that Poetry will always never bump a dependency to the next major version (ie from 1.2 to 2.0). PDM uses an open lock `>=` approach by default but also allows you to [customize how you want locking constraints to be implemented](https://pdm.fming.dev/latest/usage/dependency/#about-update-strategy). Thus with PDM you can explicitly tell it to lock using upper bounds like Poetry. Or you can tell it to use other strategies. This makes PDM one of the most flexible tools for creating lock files. Lock files are often most useful to developers creating web apps where locking the environment is critical for consistent user experience.
-Select your environment manager of choice (conda; venv; etc),✅ , PDM allows you to select the environment manager that you want to use for managing your package.
-Publish to PyPI,✅,PDM supports publishing to both test PyPI and PyPI
-Version Control based versioning,✅ , PDM has a setuptools_scm like tool built into it which allows you to use dynamic versioning that rely on git tags.
-Version bumping, ✅ , PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
-Follows current packaging standards,✅,PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
-Install your package in editable mode,✅,PDM supports installing your package in editable mode.
-Build your sdist and wheel distributions,✅, Similar to all of the other tools PDM builds your packages sdist and wheel files for you.
-✨Optional use of PEP 582 / local environment directory✨,✅, PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__packages__` directory in your working package directory).
+:delim: "|"
+
+Use Other Build Backends| ✅| When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
+Dependency management & lock files |✅|PDM and Poetry are currently the only tools that support creating dependency lock files. Their default dependency constraint approach to creating lock files is different: Poetry uses a default [upper bound lock](https://python-poetry.org/docs/dependency-specification/#version-constraints) `^`. This means that Poetry will always never bump a dependency to the next major version (ie from 1.2 to 2.0). PDM uses an open lock `>=` approach by default but also allows you to [customize how you want locking constraints to be implemented](https://pdm.fming.dev/latest/usage/dependency/#about-update-strategy). Thus with PDM you can explicitly tell it to lock using upper bounds like Poetry. Or you can tell it to use other strategies. This makes PDM one of the most flexible tools for creating lock files. Lock files are often most useful to developers creating web apps where locking the environment is critical for consistent user experience.
+Select your environment manager of choice (conda; venv; etc)|✅ | PDM allows you to select the environment manager that you want to use for managing your package.
+Publish to PyPI|✅|PDM supports publishing to both test PyPI and PyPI
+Version Control based versioning|✅ | PDM has a setuptools_scm like tool built into it which allows you to use dynamic versioning that rely on git tags.
+Version bumping| ✅ | PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards|✅|PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
+Install your package in editable mode|✅|PDM supports installing your package in editable mode.
+Build your sdist and wheel distributions|✅| Similar to all of the other tools PDM builds your packages sdist and wheel files for you.
+✨Optional use of PEP 582 / local environment directory✨|✅| PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__packages__` directory in your working package directory).
 ```
 
 ```{admonition} PDM vs. Poetry
@@ -318,12 +320,13 @@ building a basic package to use in a local workflow that doesn't require any adv
 ```{csv-table}
 :header: Feature, Flit, Notes
 :widths: 20,5,50
+:delim: "|"
 
-Publish to PyPI and test PyPI,✅,Flit supports publishing to both test PyPI and PyPI
-Helps you add metadata to your pyproject.toml file,✅, .
-Follows current packaging standards,✅,Flit supports current packaging standards for adding metadata to the **pyproject.toml** file.
-Install your package in editable mode,✅,Flit supports installing your package in editable mode. However it does use a slightly different syntax from the usual `pip install -e .` to do so.
-Build your sdist and wheel distributions,✅, .
+Publish to PyPI and test PyPI|✅|Flit supports publishing to both test PyPI and PyPI
+Helps you add metadata to your **pyproject.toml** file|✅| .
+Follows current packaging standards|✅|Flit supports current packaging standards for adding metadata to the **pyproject.toml** file.
+Install your package in editable mode|✅|Flit supports installing your package in editable mode. However, it does use a slightly different syntax from the usual `pip install -e .` to do so.
+Build your sdist and wheel distributions|✅| Flit can be used to build your packages sdist and wheel distributions.
 ```
 
 ```{admonition} Learn more about flit
@@ -357,19 +360,20 @@ using a tool like **Make** or **Nox**.
 ```{csv-table}
 :header: Feature, Hatch, Notes
 :widths: 20,5,50
-
-Use Other Build Backends,✖, Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
-Dependency management,✅,Hatch can help you add dependencies to your `pyproject.toml` metadata.
-Select your environment manager of choice (conda; venv; etc),✅ , Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
-Publish to PyPI and test PyPI,✅,Hatch supports publishing to both test PyPI and PyPI
-Version Control based versioning,✅ , Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
-Version bumping, ✅ , Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
-Follows current packaging standards,✅,Hatch supports current packaging standards for adding metadata to the **pyproject.toml** file.
-Install your package in editable mode,✖✅, You can install your package in editable mode using `pip install -e .` Hatch mentions [editable installs](https://hatch.pypa.io/latest/config/build/#dev-mode) but refers to pip in its documentation.
-Build your sdist and wheel distributions,✅, Hatch will build the sdist and wheel distributions
-✨Matrix environment creation to support testing across Python versions✨,✅, The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
-✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨, ✅, This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
-✨A flexible build back-end: **hatchling**✨, ✅, **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
+:delim: "|"
+
+Use Other Build Backends|✖| Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
+Dependency management|✅|Hatch can help you add dependencies to your **pyproject.toml** metadata.
+Select your environment manager of choice (conda, venv, etc)|✅ | Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
+Publish to PyPI and test PyPI|✅|Hatch supports publishing to both test PyPI and PyPI
+Version Control based versioning|✅ | Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
+Version bumping| ✅ | Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards|✅|Hatch supports current packaging standards for adding metadata to the **pyproject.toml** file.
+Install your package in editable mode|✖✅| You can install your package in editable mode using `pip install -e .` Hatch mentions [editable installs](https://hatch.pypa.io/latest/config/build/#dev-mode) but refers to pip in its documentation.
+Build your sdist and wheel distributions|✅| Hatch will build the sdist and wheel distributions
+✨Matrix environment creation to support testing across Python versions✨|✅| The matrix environment creation is a feature that is unique to Hatch in the packaging ecosystem. This feature is useful if you wish to test your package locally across Python versions (instead of using a tool such as tox).
+✨[Nox / MAKEFILE like functionality](https://hatch.pypa.io/latest/environment/#selection)✨| ✅| This feature is also unique to Hatch. This functionality allows you to create workflows in the **pyproject.toml** configuration to do things like serve docs locally and clean your package build directory. This means you may have one less tool in your build workflow.
+✨A flexible build back-end: **hatchling**✨| ✅| **The hatchling build back-end offered by the maintainer of Hatch allows developers to easily build plugins to support custom build steps when packaging.
 
 ```
 
@@ -383,8 +387,6 @@ so it might be similar to Poetry in that regard -->
 There are a few features that hatch is missing that may be important for some.
 These include:
 
-Hatch:
-
 - Doesn't support dependency pinning
 - Currently doesn't support use with other build back-ends. Lack of support for other build back-ends makes Hatch less desirable for users with more complex package builds. If your package is pure
   Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
@@ -412,16 +414,17 @@ is currently undocumented. Thus, we don't recommend using Poetry for more comple
 ```{csv-table}
 :header: Feature, Poetry, Notes
 :widths: 20,5,50
-
-Dependency management,✅,Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
-Dependency pinning,✅ ,Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
-Select your environment manager of choice (conda; venv; etc),✅ , Poetry allows you to either use its simple environment management tool or select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
-Publish to PyPI and test PyPI,✅,Poetry supports publishing to both test PyPI and PyPI
-Version Control based versioning,✅ , The plugin [Poetry dynamic versioning](https://github.com/mtkennerly/poetry-dynamic-versioning) supports versioning using git tags with Poetry.
-Version bumping, ✅ , Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
-Follows current packaging standards,✖✅,Poetry does not quite support current packaging standards for adding metadata to the **pyproject.toml** file but plans to fix this in an upcoming release.
-Install your package in editable mode,✅,Poetry supports installing your package in editable mode using `--editable`
-Build your sdist and wheel distributions,✅,Poetry will build your sdist and wheel distributions using `poetry build`
+:delim: "|"
+
+Dependency management|✅|Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
+Dependency pinning|✅ |Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
+Select your environment manager of choice (conda; venv; etc)|✅ | Poetry allows you to either use its simple environment management tool or select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
+Publish to PyPI and test PyPI|✅|Poetry supports publishing to both test PyPI and PyPI
+Version Control based versioning|✅ | The plugin [Poetry dynamic versioning](https://github.com/mtkennerly/poetry-dynamic-versioning) supports versioning using git tags with Poetry.
+Version bumping| ✅ | Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
+Follows current packaging standards|✖✅|Poetry does not quite support current packaging standards for adding metadata to the **pyproject.toml** file but plans to fix this in an upcoming release.
+Install your package in editable mode|✅|Poetry supports installing your package in editable mode using `--editable`
+Build your sdist and wheel distributions|✅|Poetry will build your sdist and wheel distributions using `poetry build`
 ```
 
 <!-- TODO: update this given responses here: https://github.com/python-poetry/poetry/discussions/7525 -->

From f2c1966b39361f3a4008545a5089d04d504bda74 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Mar 2023 10:53:37 -0600
Subject: [PATCH 26/42] Fix: remove notes from docs

---
 .gitignore                                    |   1 +
 .../complex-python-package-builds.md          | 131 +----------------
 .../python-package-build-tools.md             | 132 +-----------------
 3 files changed, 3 insertions(+), 261 deletions(-)

diff --git a/.gitignore b/.gitignore
index ce63f9f7..46e3d0d8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,3 +5,4 @@ tmp/
 .DS_Store
 .nox
 __pycache__
+*notes-from-review.md
diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 4078a662..0e4217d6 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -14,134 +14,5 @@ back-end tools.
 1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
    has the features that you want and be done with your decision!
 2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page.
-3.**Python packages that have extensions written in different languages (e.g. Fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page. 3.**Python packages that have extensions written in different languages (e.g. Fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
    or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
-
-<!--
-On this page, we will focus on using front-end tools to package pure python
-packages. We will note if a package does have the flexibility to support other
-back-ends and in turn more complex builds (*mentioned in #2 and #3 above*). -->
-<!--
-## COmbine the two sets of statement below...
-ELI:
-PDM supports C/Cython extensions too: https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
-
-It does this by allowing you to write a python script that gets injected into a setuptools build process :) so that's not necessarily the greatest choice. It's a bit like using setuptools directly. ;)
-
-Ralf:
-Hatch only supports pure Python packages as of now. setuptools is still a very reasonable choice, and okay if all you have is a few C/Cython extensions. But I'd say you should probably recommend meson-python and scikit-build-core as the two best tools for building packages containing compiled extensions.
-
-
-* link to ralf's blog and book on complex builds
-* keep this page high level so we don't get weight downsides
-* can use the examplePy repo stefan and I are working on that will test various build combinations
-
-*****
-
-ELI: It would be more accurate to say that PDM supports using PDM and setuptools at the same time, so you run setuptools to produce the C extensions and then PDM receives the compiled extension files (.so, .pyd) and packages it up alongside the pure python files.
-
-Hatch - https://hatch.pypa.io/latest/config/build/#build-hooks uild hooks
-
-Ralf -
-Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build back-end hooks in pyproject.toml, it's pretty much a dead end.
-****
-
-
- HEnry: Poetry will move to PEP 621 configuration in version 2.
-
-* pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-backend, hatchling and poetry's build back-end.
-* poetry's support for C extensions is not fully developed and documented (yet). * Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook. so while some have used it with other back-end builds it's not ideal for this application
-* pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
-* hatch both offers a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
-At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
-
-
-
-**Setuptools** is the oldest tool in the above list. While it doesn't have a
-friendly user front end, because "OG" tool that has been used for Python packaging for over a decade, we discuss it here.
-
-**Hatch** and PDM are newer, more modern tool that support customization of any
-part of your packaging steps. These tools also support some C and C++
-extensions.
-
-
-OFEK - Why use hatchlin vs pdm back-end -
-File inclusion is more configurable and easier by default
-There is already a rich ecosystem of plugins and a well-thought-out interface
-Consistency since the official Python packaging tutorial uses Hatchling by default
-
-
-Henry -
-The scikit-hep cookie provides 11 back-ends including flit-core and hatchling, and I've moved packaging to flit-core, and lots of other things to hatchling, and I can say that hatching's defaults are much nicer than flit-core's. Hatching uses .gitignore to decide what to put in the sdist. Flit-core basically tries to keep its hands off of adding defaults, so you have to configure everything manually. To make it even more confusing, if you use flit instead of a standard tool like build, it will switch to using VCS and those ignored files won't be added - meaning it is really easy to have a project that doesn't support build, including various GitHub Actions. Hatchling wins this by a ton.
-
-<!-- TODO: add - compatible with other build back-ends eg pdm can work with hatchling
-
-Eli:
-poetry: supports it, but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
-pdm-back-end: supports it, and documents it -- and also uses setuptools under the hood
-hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
-
--->
-
-<!-- from eli about pdm
-It would be more accurate to say that PDM supports using PDM and setuptools at the same time, so you run setuptools to produce the C extensions and then PDM receives the compiled extension files (.so, .pyd) and packages it up alongside the pure Python files.
-
-Comment about hatch.
-https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1081108118
-
-From ralf: There are no silver bullets here yet, no workflow tool is complete. Both Hatch and PDM are single-author tools, which is another concern. @eli-schwartz's assessment is unfortunately correct here I believe (at a high level at least, not sure about details). Hatch has the worst take on building compiled code by some distance. Unless its author starts developing an understanding of build systems / needs, and implements support for PEP 517 build back-end hooks in pyproject.toml, it's pretty much a dead end.
-
--->
-
-<!--TODO Add examples of builds using each of the tools below?
-
-pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
-poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook.
-PDM and hatch both offer a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
-At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
-
-CORRECTIONS:
-pdm doesn't use plugins. Hatch does.
-pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
-
-
-??
-Poetry supports extensions written in other languages but this functionality is
-currently undocumented.
-
-Tools such as Setuptools, PDM, Hatch and Poetry all have some level of support
-for C and C++ extensions.
-Some Python packaging tools,
-such as **Flit** and the **flit-core** build back-end only support pure-Python
-package builds.
-Some front-end packaging tools, such as PDM, allow you to use other
-build back-ends such as **meson** and **scikit-build**.
-
-
-me:
-pdm, hatch and poetry all have "ways" of supporting c extensions via pdm-build, hatchling and poetry's build back-end.
-poetry's support for C extensions is not fully developed and documented (yet). Poetry doesn't offer a way to facilitate "communication" between poetry front end and another back-end like meson to build via a build hook.
-PDM and hatch both offer a plugin type approach to support custom build steps
-PDM (right now) is the only tool that supports other back-ends (hatch is working on this - 2 minor releases away)
-At some point a build becomes so complex that you need to use a tool like scikit or meson to support that complexity.
-@eli-schwartz eli-schwartz 3 weeks ago
-PDM and hatch both offer a plugin type approach to support custom build steps
-
-ELI:
-pdm doesn't use plugins. Hatch does.
-pdm and poetry both rely on setuptools for C extensions. pdm's support claims to be fully developed and documented. poetry claims nothing, and doesn't document it.
-
-
-https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels
--->
-
-<!-- https://github.com/pyOpenSci/python-package-guide/pull/23#discussion_r1071541329
-ELI: A complex build could mean running a python script that processes some data file and produces a pure python module file.
-
-Probably not common in the scientific community specifically, but I've seen quite a few setup.py files that contain custom build stages which e.g. build gettext locale catalogs.
-
-The main point is that it is more "complex" than simply copying files or directories as-is into the built wheel.
--->
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index d65e578a..312a7422 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -8,8 +8,6 @@ We focus on pure-python packages in this guide. However, we also
 highlight tools that currently support packages with C/C++ and other language
 extensions.
 
-<!-- TODO: create build tool selection diagram - https://www.canva.com/design/DAFawXrierc/O7DTnqW5fmMEZ31ao-TK9w/edit -->
-
 :::{figure-md} fig-target
 
 <img src="../images/python-package-tools-decision-tree.png" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
@@ -53,44 +51,6 @@ and **scikit-build** support complex builds with custom steps. If your
 build is particularly complex (i.e. you have more than a few `C`/`C++`
 extensions), then we suggest you use **meson.build** or **scikit-build**.
 
-<!--
-### Build front-ends
-
-Build front-ends have a user-friendly interface that allow you to perform
-common Python packaging tasks such as building your package, creating an
-environment to run package tests and build documentation, and pushing to PyPI.
-
-For instance, you can use **Flit**, **Hatch**, **Poetry** and **PDM** to both build your
-package and to publish your package to PyPI (or test PyPI). However, if you
-want a tool that also support environment management and versioning your package,
-then you might prefer to use **Hatch**, **Poetry** or **PDM**.
-
-Using a tool like **Flit**, **Hatch**, **Poetry** or **PDM** will simplify your workflow.
-
-Example to build your package with **Flit**:
-
-`flit build`
-
-Example to publish to PyPI:
-`flit publish --repository testpypi`
-
-In the Python package build space **setuptools** is
-the "OG" -the original tool that everyone used to use.
-With a tool like  `setuptools` you have the flexibility
-to publish python pure python packages and packages with custom build steps. However, you will also need to use other tools. For example, you will use `twine` to publish to PyPI.
-
-## An ecosystem of Python build tools
-
-Below we introduce several of the most commonly used
-Python packaging build  tools. Each tool has various
-features that might make you chose to use it
-or not use it. There is no right or wrong tool to use
-as far as pyOpenSci is concerned. We are just trying to
-help you find the tool that works best for
-your workflow.
-Example build steps using setuptools:
-======= -->
-
 ### Python package build front-ends
 
 A packaging front-end tool refers to a tool that makes it easier for you to
@@ -214,17 +174,6 @@ questions:
 NOTE: You can also use Hatch for non pure python builds but you will need to
 write your own plugin for this support.
 
-<!-- ### Build tools for Python packages with complex build steps
-If your package is not pure Python, or it has complex build steps (or build
-steps that you need to customize), then you should consider using:
-
-* Setuptools
-* Hatch
-* PDM
-
-These tools allow you to customize your workflow with build steps needed
-to compile code. -->
-
 ## Python packaging tools summary
 
 <!-- NOTE - add language around the front end means that you have less individual tools in your build - such as nox / make with hatch -->
@@ -379,9 +328,6 @@ Build your sdist and wheel distributions|✅| Hatch will build the sdist and whe
 
 _\*\* There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility_
 
-<!-- QUESTION: Does hatch allow you to use other envt managers like conda?? i don't see that it does
-so it might be similar to Poetry in that regard -->
-
 ### Why you might not want to use Hatch
 
 There are a few features that hatch is missing that may be important for some.
@@ -427,7 +373,7 @@ Install your package in editable mode|✅|Poetry supports installing your packag
 Build your sdist and wheel distributions|✅|Poetry will build your sdist and wheel distributions using `poetry build`
 ```
 
-<!-- TODO: update this given responses here: https://github.com/python-poetry/poetry/discussions/7525 -->
+<!-- TODO: responses here on poetry's future dev work: https://github.com/python-poetry/poetry/discussions/7525 -->
 
 ### Challenges with Poetry
 
@@ -516,79 +462,3 @@ when using setuptools. For instance:
   \*Setuptools also will include all of the files in your package
   repository if you do not explicitly tell it to exclude files using a
   **MANIFEST.in** file
-
-<!-- From stefan: build, run tests on built version, load the built version into
-Python (?how is this different from install??), make editable install, build
-wheel, build sdist -->
-
-<!--
-The example below is taken from [this thread in GitHub](https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750).
-
-```toml
-[tool.poetry.dependencies]
-python = ">=3.6" # This is muddled in as a dependency, while it's not like the others
-numpy = ">=1.13.3"
-typing_extensions = { version = ">=3.7", python = "<3.8" }
-
-sphinx = {version = "^4.0", optional = true}
-sphinx_book_theme = { version = ">=0.0.40", optional = true }
-sphinx_copybutton = { version = ">=0.3.1", optional = true }
-pytest = { version = ">=6", optional = true }
-importlib_metadata = { version = ">=1.0", optional = true, python = "<3.8" } # TOML error to add an ending comma or new line, even if this gets long
-boost-histogram = { version = ">=1.0", optional = true }
-
-[tool.poetry.dev-dependencies]
-pytest = ">=5.2"  # All the optional stuff above doesn't help here!
-importlib_metadata = {version = ">=1.0", python = "<3.8" }
-boost_histogram = ">=1.0"
-
-[tool.poetry.extras]
-docs = ["sphinx", "sphinx_book_theme", "sphinx_copybutton"]
-test = ["pytest", "importlib_metadata", "boost_histogram" ]
-```
-
-vs PDM
-
-```toml
-[project]
-requires-python = ">=3.6"
-dependencies = [
-  "numpy>=1.13.3",
-  "typing-extensions>=3.7; python_version<'3.8'",
-]
-
-# Only needed for extras
-[project.optional-dependencies]
-docs = [
-  "sphinx>=4.0",
-  "sphinx-book-theme>=0.0.40",
-  "sphinx-copybutton>=0.3.1",
-]
-test = [
-  "pytest>=6",
-  "importlib-metadata>=1.0; python_version<'3.8'",
-  "boost-histogram>=1.0",
-]
-
-# Only needed for "dev" installs
-[tool.pdm.dev-dependencies]
-dev = [
-  "pytest>=6",
-  "importlib-metadata>=1.0; python_version<'3.8'",
-  "boost-histogram>=1.0",
-]
-```
-
-From Eli:
-
-poetry: supports it (c extensions), but is undocumented and uses setuptools under the hood, they plan to change how this works and then document it
-pdm-back-end: supports it, and documents it -- and also uses setuptools under the hood
-hatchling: permits you to define hooks for you to write your own custom build steps, including to build C++ extensions
-
-
-**PDM** does have some support for `C`/[`Cython`](https://cython.org/) extensions. [Click here to
-learn more.](https://pdm.fming.dev/latest/pyproject/build/#build-platform-specific-wheels). This functionality uses setuptools "under the
-hood".
-
-
--->

From 4a75fd9f1d7c6b22b49bbde6de38ce656074bccb Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Mar 2023 11:43:29 -0600
Subject: [PATCH 27/42] Update
 package-structure-code/python-package-build-tools.md

Co-authored-by: Ofek Lev <ofekmeister@gmail.com>
---
 package-structure-code/python-package-build-tools.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 312a7422..5e47376d 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -86,7 +86,7 @@ Below, you can see how a build tool streamlines your packaging experience. Examp
 hatch build
 
 # Example to publish to PyPI:
-hatch publish --repository testpypi
+hatch publish --repo test
 ```
 
 Example build steps using the **setuptools** back-end and **build**:

From e46dab2f37ab9ddca661b1fb87e523b3c5b5ba9e Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Mar 2023 12:25:33 -0600
Subject: [PATCH 28/42] Update
 package-structure-code/python-package-distribution-files-sdist-wheel.md

Co-authored-by: Ofek Lev <ofekmeister@gmail.com>
---
 .../python-package-distribution-files-sdist-wheel.md            | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index b55868e6..75b25238 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -86,7 +86,7 @@ When you make a release on GitHub, it creates a `git archive` that contains all
 of the files in your GitHub repository. While these files are similar to an
 SDist, these two archives are not the same. The SDist contains a few other
 items including a metadata directory and if you use `setuptools_scm` or `hatch_vcs`
-the SDist will also contain a `_version.py` file.
+the SDist may also contain a file that stores the version.
 ```
 
 <!--

From 68f5723b419f43ffd316e305965eae01de969cd0 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Mar 2023 12:52:30 -0600
Subject: [PATCH 29/42] Update
 package-structure-code/python-package-distribution-files-sdist-wheel.md

Co-authored-by: Ofek Lev <ofekmeister@gmail.com>
---
 .../python-package-distribution-files-sdist-wheel.md          | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index 75b25238..cfd1eb6d 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -135,8 +135,8 @@ The filename of a wheel contains important metadata about your package.
 
 Example: **stravalib-1.1.0.post2-py3-none.whl**
 
-- packageName: stravalib
-- packageVersion: 1.1.0
+- name: stravalib
+- version: 1.1.0
 - build-number: 2 (post2) [(read more about post here)](https://peps.python.org/pep-0440/#post-release-separators)
 - py3: supports Python 3.x
 - none: is not operating system specific (runs on windows, mac, linux)

From bef6801342e49888da90d581e696a54e435aed84 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Thu, 16 Mar 2023 13:45:10 -0600
Subject: [PATCH 30/42] Fix: many more great comments to address

---
 index.md                                      | 32 -------------------
 package-structure-code/intro.md               | 15 ---------
 .../pyproject-toml-python-package-metadata.md |  2 +-
 .../python-package-build-tools.md             | 15 ++++-----
 ...-package-distribution-files-sdist-wheel.md | 16 ++--------
 .../python-package-structure.md               | 26 +++++++++++++--
 6 files changed, 34 insertions(+), 72 deletions(-)

diff --git a/index.md b/index.md
index 1f85ac0d..2d05d49f 100644
--- a/index.md
+++ b/index.md
@@ -128,35 +128,3 @@ Good meets the requirements. Going beyond the minimum can make package maintenan
 
 This guide is now a work in progress. If you have ideas of things you'd like
 to see here, [we invite you to open an issue on GitHub that details any changes or additions that you'd like to see.](https://github.com/pyOpenSci/python-package-guide/issues).
-
-<!--
-COMMENTED OUT TEXT TO BE MOVED
-
-
-# TODO LINK TO CI BUILDS FOR Documentation>
-Maybe we can curate a list of CI builds that people can use??? or is that moving too close to a cookie cutter situation
-
-The text below is being moved to the packaging infrastructure section which
-doesn't exist YET... but will soon .
-pyOpenSci packages must:
-
-- Contain full documentation for any user-facing functions.
-- Have a test suite that covers the major functionality of the package.
-- Use continuous integration.
-- Use an OSI approved software license.
-
-
-## Other recommendations
-### Python version support
-You should always be explicit about which versions of Python your package supports.
-Keeping compatibility with old Python versions can be difficult as functionality changes.
-A good rule of thumb is that the package should support, at least,
-the latest three Python versions (e.g., 3.8, 3.7, 3.6).
-
-### Code Style
-pyOpenSci encourages authors to consult [PEP 8](https://www.python.org/dev/peps/pep-0008/) for information on how to style your code.
-
-### Linting
-An automatic linter (e.g. flake8) can help ensure your code is clean and free of syntax errors. These can be integrated with your CI.
-
--->
diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index ac3ca20e..72d623d4 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -61,21 +61,6 @@ package to be reviewed and accepted into our pyOpenSci open source ecosystem.
 Please check out our [package scope page](https://www.pyopensci.org/software-peer-review/about/package-scope.html) and [review requirements in our author guide](https://www.pyopensci.org/software-peer-review/how-to/author-guide.html#) if you are looking for pyOpenSci's Python package review requirements!
 ```
 
-<!--
-```{tip}
-### Python packaging resources that we love
-
-We think the resources below are excellent but each have particular opinions
-that you may or may not find in our packaging guide. For instance, the PyPA
-guide encourages users to store their package in a `src/package-name` directory.
-While we accept that approach many of our community members prefer to not use
-the `src` directory.
-
-* [Python packaging for research software engineers](https://merely-useful.tech/py-rse/)
-* [PyPA packaging guide](https://packaging.python.org/en/latest/)
-```
--->
-
 ```{toctree}
 :hidden:
 :caption: Package structure & code style
diff --git a/package-structure-code/pyproject-toml-python-package-metadata.md b/package-structure-code/pyproject-toml-python-package-metadata.md
index 3f89a3db..7a31f2a6 100644
--- a/package-structure-code/pyproject-toml-python-package-metadata.md
+++ b/package-structure-code/pyproject-toml-python-package-metadata.md
@@ -79,7 +79,7 @@ of values. It has two keys that specify the build front end and back-end for a p
 
 ```
 [build-system]
-requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
+requires = ["setuptools>=45"]
 build-back-end = "setuptools.build_meta"
 
 [project]
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 5e47376d..8ddc49e8 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -168,17 +168,16 @@ questions:
 - Flit, Hatch, PDM or Poetry (read below for more)
 
 1. **Does your tool have a few C or C++ extensions?** Great, we suggest using
-   **PDM** for the time being. It is the only tool in the list below that has documented
-   workflow to support such extensions. It also supports other back-ends such as scikit-build and meson-python that will allow you to fully customize your build.
+   **PDM** for the time being. It is the only tool in the list below that has both documented
+   workflow to support such extensions and support for other back-ends in the case that build hooks are not enough for your workflow. PDM supports other back-ends such as scikit-build and meson-python that will allow you to fully customize your package's build.
 
-NOTE: You can also use Hatch for non pure python builds but you will need to
-write your own plugin for this support.
+NOTE: You can also use Hatch for non pure python builds. Hatch, similar to PDM, allows you to write your own build hooks or plugins to support custom build steps. But currently, hatch does not support other build back ends. Many of the core scientific packages are moving to meson-python to build their packages. Thus, we appreciate that PDM can work with meson-python specifically.
 
 ## Python packaging tools summary
 
-<!-- NOTE - add language around the front end means that you have less individual tools in your build - such as nox / make with hatch -->
+Below, we summarize features offered by the most popular build front end tools. It is important to keep in mind that these
+front-end tools remove the need to use other core tools in your workflow. For example if you use setuptools, you will need to also use Build and Twine to build your package and publish to PyPI. But if you use Poetry, Hatch or PDM you can do all of those things using the same tool (e.g. `hatch build`, `hatch publish` or `pdm build`, `pdm publish`).
 
-Below, we summarize features offered by the most popular build front end tools.
 Note that because setuptools does not offer a front-end interface, it is not
 included in the table.
 
@@ -313,7 +312,7 @@ using a tool like **Make** or **Nox**.
 
 Use Other Build Backends|✖| Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
 Dependency management|✅|Hatch can help you add dependencies to your **pyproject.toml** metadata.
-Select your environment manager of choice (conda, venv, etc)|✅ | Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
+Select your environment manager of choice (conda, venv, etc)|✅ | Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use Conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
 Publish to PyPI and test PyPI|✅|Hatch supports publishing to both test PyPI and PyPI
 Version Control based versioning|✅ | Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
 Version bumping| ✅ | Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
@@ -336,7 +335,7 @@ These include:
 - Doesn't support dependency pinning
 - Currently doesn't support use with other build back-ends. Lack of support for other build back-ends makes Hatch less desirable for users with more complex package builds. If your package is pure
   Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
-- Doesn't allow you to select what environment manager you use. <!-- (is this right??) -->
+- Hatch won't by default support Conda environments. [But you can use a plugin for this!](https://github.com/OldGrumpyViking/hatch-conda).
 - Hatch doesn't provide an end to end beginning workflow in it's documentation.
 - Hatch, similar to PDM and Flit currently only has one maintainer.
 
diff --git a/package-structure-code/python-package-distribution-files-sdist-wheel.md b/package-structure-code/python-package-distribution-files-sdist-wheel.md
index cfd1eb6d..1b4a1071 100644
--- a/package-structure-code/python-package-distribution-files-sdist-wheel.md
+++ b/package-structure-code/python-package-distribution-files-sdist-wheel.md
@@ -26,7 +26,9 @@ platform you use to manage your code.
 
 **S**ource **D**istributions are referred to as sdist. As the name implies, a SDIST contains the source code; it has not been
 built or compiled in any way. Thus, when a user installs your source
-distribution using pip, pip needs to run a build step first. Sdist is normally stored as a `.tar.gz` archive (often called a "tarball").
+distribution using pip, pip needs to run a build step first. For this reason, you could define a source distribution as a compressed archive that contains everything required to build a wheel (except for project dependencies) without network access.
+
+Sdist is normally stored as a `.tar.gz` archive (often called a "tarball"). Thus, when a user installs your source distribution using pip, pip needs to run a build step first.
 
 Below is an example sdist for the stravalib Python package:
 
@@ -89,18 +91,6 @@ items including a metadata directory and if you use `setuptools_scm` or `hatch_v
 the SDist may also contain a file that stores the version.
 ```
 
-<!--
-* one of the benefits of wheel is pretty much avoiding setup.py which
-has code mixed in. makes you more vulnerable to a code injection on install.
-
-assuming this means if the package is already pre-built than setup.py isn't running anything on install because install is just moving files across to the machine to be run.
-
-And having metadata separate allows someone to view the metadata without
-running any python code as it's a machine and human readable format.
-
-https://scikit-hep.org/developer/pep621
--->
-
 ### Wheel (.whl files):
 
 A wheel file is a ZIP-format archive whose filename follows a specific format
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index d49ec9be..c92487d2 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,12 +1,18 @@
 # Python Package Structure for Scientific Python Projects
 
-## Directories that should be in all Python packages
+## Directories that should be in your starting Python package repository
 
 There are several core directories that should be included in all Python packages:
 
 - **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
 - **tests/** this directory contains the tests for your project code
-- **package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
+- **src/package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
+
+```{admonition} Multiple packages in a src/ folder
+:class: tip
+
+In some more advanced cases you may have more than one package in your src/ directory. See [black's GitHub repo](https://github.com/psf/black/tree/main/src) for an example of this. However for most beginners you will likely only have one sub-directory in your src/ folder.
+```
 
 ## Src vs flat layouts
 
@@ -63,6 +69,16 @@ that includes tests within the **src/package-name** directory.
 
 #### Pros of the src/ layout
 
+```{admonition} How Python discovers and prioritizes importing modules
+One of the main technical advantages of using the src/ layout, if you are just getting started with a new package,relates to how Python discovers packages. By default, Python adds a module in your current working directory to the  front of the Python module search path.
+
+This means that if you currently in your packages working directory, and your module code lives in the root e.g.: /package-name/module.py, python will discovers package-name/module.py before it the package as installed by pip or conda in a virtual environment.
+
+However, if your package lives in a directory structure that is **src/package-name** then it won't be, by default, added to the Python path. This means that when you run import package, python will be forced to first search the active environment (which has your package installed).
+
+Note that modern Python versions (3.11 and above) do have an option to adjust how the Python path finds modules (`PYTHONSAFEPATH`) however this is still a setting that a user would need to adjust in order to avoid the behavior of Python importing a module from your current working directory first.
+```
+
 The benefits of the **src/package-name** layout include:
 
 - It ensures that tests always run on the installed version of your
@@ -79,7 +95,11 @@ will want to ensure that large tests datasets are not included in your package d
 - The **src/package-name** layout is semantically more clear. Code is always found in the
   **src/package-name** directory, `tests/` and `docs/`are in the root directory.
 
-```{tip}
+```{admonition} A few notes about the src/ layout
+:class: tip
+
+It is important to note here that sometimes when using the src/package-name structure the directory name (e.g. package name) is different from the actual project or package name. What is important to take away here is that you should store your code within a sub directory within **src/**.
+
 * [Read more about reasons to use the **src/package-name** layout](https://hynek.me/articles/testing-packaging/)
 ```
 

From a28b9714892be4ec8fd266ebc230dcd09580104b Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Mon, 20 Mar 2023 17:15:32 -0600
Subject: [PATCH 31/42] Fix: more edits from the current review

---
 .../python-package-build-tools.md             | 111 ++++++++++--------
 .../python-package-structure.md               |  15 ++-
 2 files changed, 76 insertions(+), 50 deletions(-)

diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 8ddc49e8..d2a7516e 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -31,6 +31,28 @@ You will learn more about the following tools on this page:
 - [PDM](https://pdm.fming.dev/latest/)
 - [Poetry](https://python-poetry.org/docs/)
 
+### Summary of tools Hatch vs. PDM vs. Poetry (and setuptools)
+
+If you are looking for a quick summary, read below.
+
+- In general, any modern tool that you select from this page will be great to build your package. Selecting a tool comes down to the features that you are looking for in your workflow.
+- We suggest that beginners start with a modern workflow tool like PDM as opposed to navigating the complexities of setuptools.
+- If you are going to use Poetry (it is the most popular tool and does have the best documentation) beware of the upper bounds dependency additions and consider overriding dependencies when you add them. If you do that Poetry will work well for pure-python builds! Poetry also has an active discord where you can ask questions.
+
+Below are some features that Hatch and PDM offer that Poetry does not.
+
+PDM:
+
+- Supports other back-ends making it ideal for builds that are not pure Python. This means PDM is a great option for both pure python and more complex Python builds as it supports meson-python and other build backends.
+- Offers flexibility in dependency management which we like
+- Offers lock files if you need them
+
+Hatch:
+
+- Offers matrix environment management that allows you to run tests across Python versions. If this feature is important to you, then Hatch is a clear winner.
+- Offers a Nox / Make file like tool to streamline your
+  build workflow. If you are looking to reduce the number of tools in your workflow, Hatch might be for you.
+
 ## Build front-end vs. build back-end tools
 
 To better understand your options, when it comes to building a Python package, it's important to first understand the difference between a
@@ -74,7 +96,7 @@ locking, you can use **PDM** or **Poetry** but not **Hatch**.
 If you only need to build your package's sdist and wheel distribution files, then you can stick with PyPA's Build. You'd then use Twine to publish to PyPI.
 
 ```{note}
-If you are using **Setuptools**, there is no user-friendly build front-end that performs multiple tasks. You will need to use **build** to build your package and **twine** to publish to PyPI.
+If you are using **Setuptools**, there is no default user-friendly build front-end that performs multiple tasks. You will need to use **build** to build your package and **twine** to publish to PyPI.
 ```
 
 ### Example build steps that can be simplified using a front-end tool
@@ -194,6 +216,7 @@ Dependency management| ✖|✖|✅|✅
 Publish to PyPI| ✅|✅|✅|✅
 Version Control based versioning (using `git tags`)|✖|✅|✅|✅
 Version bumping|✖|✅| ✅| ✅
+Environment Management|✖|✅| ✅| ✅
 More than one maintainer? (bus factor)|✖|✖| ✖| ✅
 ```
 
@@ -223,24 +246,31 @@ packages them with the pure Python files.
 :widths: 20,5,50
 :delim: "|"
 
-Use Other Build Backends| ✅| When you setup PDM it allows you to select from Hatch; PDM-517 and PDM-core build tools. PDM also can work with Meson-Python which supports move complex python builds.
-Dependency management & lock files |✅|PDM and Poetry are currently the only tools that support creating dependency lock files. Their default dependency constraint approach to creating lock files is different: Poetry uses a default [upper bound lock](https://python-poetry.org/docs/dependency-specification/#version-constraints) `^`. This means that Poetry will always never bump a dependency to the next major version (ie from 1.2 to 2.0). PDM uses an open lock `>=` approach by default but also allows you to [customize how you want locking constraints to be implemented](https://pdm.fming.dev/latest/usage/dependency/#about-update-strategy). Thus with PDM you can explicitly tell it to lock using upper bounds like Poetry. Or you can tell it to use other strategies. This makes PDM one of the most flexible tools for creating lock files. Lock files are often most useful to developers creating web apps where locking the environment is critical for consistent user experience.
-Select your environment manager of choice (conda; venv; etc)|✅ | PDM allows you to select the environment manager that you want to use for managing your package.
+Use Other Build Backends| ✅| When you setup PDM it allows you to select one of several build back ends including: PDM-core, flit-core and hatchling. PDM also can work with Meson-Python which supports move complex python builds.
+Dependency specifications |✅|PDM has flexible support for  managing dependencies. PDM defaults to using an open bound (e.g. `requests >=1.2`) approach to dependencies. However you can  [customize how you want to add dependencies in case you prefer another approach such as that of Poetry which uses an upper bound limit](https://pdm.fming.dev/latest/usage/dependency/#about-update-strategy).**
+Environment lock files |✅|PDM and Poetry are currently the only tools that create environment lock files. Lock files are often most useful to developers creating web apps where locking the environment is critical for consistent user experience. For community-used packages, you will likely never want to use a lock file.
+Environment management |✅ | PDM provides environment management support. It supports Python virtual environments, conda and a local `__pypackages__` environment which is a newer option in the Python ecosystem. No extensions are needed for this support.
+Select your environment type on install |✅ | When you run `PDM init`, PDM will discover environments that are already on your system and allow you to select one to use for your project.
 Publish to PyPI|✅|PDM supports publishing to both test PyPI and PyPI
 Version Control based versioning|✅ | PDM has a setuptools_scm like tool built into it which allows you to use dynamic versioning that rely on git tags.
 Version bumping| ✅ | PDM supports you bumping the version of your package using standard semantic version terms patch; minor; major
-Follows current packaging standards|✅|PDM supports current packaging standards for adding metadata to the **pyproject.toml** file. It also supports pep 517? dependency management which relies upon a local directory containing a users environment.
+Follows current packaging standards|✅|PDM supports current packaging standards for adding metadata to the **pyproject.toml** file.
 Install your package in editable mode|✅|PDM supports installing your package in editable mode.
 Build your sdist and wheel distributions|✅| Similar to all of the other tools PDM builds your packages sdist and wheel files for you.
-✨Optional use of PEP 582 / local environment directory✨|✅| PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__packages__` directory in your working package directory).
+✨Optional use of PEP 582 / local environment directory✨|✅| PDM is currently the only tool that optionally supports PEP 582 (having a local environment configuration stored within a `__pypackages__` directory in your working directory).
 ```
 
 ```{admonition} PDM vs. Poetry
 The functionality of PDM is similar to Poetry. However, PDM also offers
 additional, documented support for C extensions and version control based
-versioning. If you are deciding between the two tools, the main difference between these two tools
-is that Poetry (by default) follows strict semantic versioning when creating lock files. However there are some work arounds to this if you want to use Poetry rather than PDM. Strict adherence to semantic
-versioning can be problematic in some cases (more on that below).
+versioning. As such, PDM is preferred for those working on non pure-Python packages.
+
+If you are deciding between the Poetry and PDM, a smaller  difference is the default way that dependencies are added to your pyproject.toml file.
+
+* Poetry by default follows strict semantic versioning adding dependencies to your pyproject.toml file [using an upper bounds constraint (`^`)](https://python-poetry.org/docs/dependency-specification/#version-constraints). Upper bounds lock means that Poetry will never bump a dependency to the next major version (i.e. from 1.2 to 2.0). However, you can tell Poetry to use an open bound approach by explicitly adding the package like this: `poetry add requests >= 1.2` rather than just using `poetry add requests` which will result in a upper bound locked (ie Upper bound locks means that requests 2.0 could never be installed even if it came out and your package could benefit from it).
+* PDM defaults to open-bounds (`>=`) dependency additions which is the preferred approach in the scientific python ecosystem. However, PDM also allows you to specify the way dependencies are added by default. As such, you can also specify upper-bounds (`^`) using PDM if require that approach.
+
+Finally there are some nuanced differences in how both tools create lock files which we will not go into detail about here.
 ```
 
 ### Challenges with PDM
@@ -271,12 +301,14 @@ building a basic package to use in a local workflow that doesn't require any adv
 :delim: "|"
 
 Publish to PyPI and test PyPI|✅|Flit supports publishing to both test PyPI and PyPI
-Helps you add metadata to your **pyproject.toml** file|✅| .
+Helps you add metadata to your **pyproject.toml** file|✅| Flit does support adding metadata to your **pyproject.toml** file following modern packaging standards.
 Follows current packaging standards|✅|Flit supports current packaging standards for adding metadata to the **pyproject.toml** file.
-Install your package in editable mode|✅|Flit supports installing your package in editable mode. However, it does use a slightly different syntax from the usual `pip install -e .` to do so.
+Install your package in editable mode|✅| Flit supports installing your package in editable mode.**
 Build your sdist and wheel distributions|✅| Flit can be used to build your packages sdist and wheel distributions.
 ```
 
+\*\* NOTE: _If you are using the most current version of pip, it supports both a symlink approach `flit install -s` and `pip install -e .`_
+
 ```{admonition} Learn more about flit
 * [Why use flit?](https://flit.pypa.io/en/stable/rationale.html)
 ```
@@ -286,12 +318,13 @@ Build your sdist and wheel distributions|✅| Flit can be used to build your pac
 Because Flit is no frills, it is best for basic, quick builds. If you are a
 beginner you may want to select Hatch or PDM which will offer you more support
 in common operations.
+
 You may NOT want to use flit if:
 
 - You want to setup more advanced version tracking and management (using version control for version bumping)
-- You want a tool that handles dependency versions (use PDM instead)
+- You want a tool that handles dependency versions (use PDM or Poetry instead)
 - You have a project that is not pure Python (Use Hatch, PDM or setuptools)
-- Version Support: Flit uses the version from your package's ` __version__`.
+- You want environment management (use PDM, Hatch or Poetry)
 
 ## Hatch
 
@@ -300,8 +333,7 @@ unified command line interface. To separate Hatch from Poetry and PDM, it also
 provides an environment manager for testing that will make it easier for
 you to run tests locally across different versions of Python. It also offers a
 nox / makefile like feature that allows you to create custom build workflows such
-as building your documentation locally, that you may have created in the past
-using a tool like **Make** or **Nox**.
+as building your documentation locally. This means that you could potentially drop a tool like **Make** or **Nox** from your workflow and use Hatch instead.
 
 ### Hatch features
 
@@ -310,9 +342,9 @@ using a tool like **Make** or **Nox**.
 :widths: 20,5,50
 :delim: "|"
 
-Use Other Build Backends|✖| Switching out build back-ends is not currently an option when using Hatch. However this feature is coming to the package in the near future.
-Dependency management|✅|Hatch can help you add dependencies to your **pyproject.toml** metadata.
-Select your environment manager of choice (conda, venv, etc)|✅ | Hatch does allow you to select the (pip) environment that you want to use for managing and building your package. However if you want to use Conda [you will need to use a plugin](https://github.com/OldGrumpyViking/hatch-conda).
+Use Other Build Backends|✖| Switching out build back-ends is not currently an option with Hatch. However, this feature is planned for a future release.
+Dependency management|✖| Currently you have to add dependencies manually with Hatch. However a feature to support dependencies management may be added in a future release.
+Environment Management |✅ | Hatch supports Python virtual environments. If you wish to use other types of environments such as Conda, you will need to [install a plugin such as hatch-conda for conda support](https://github.com/OldGrumpyViking/hatch-conda).
 Publish to PyPI and test PyPI|✅|Hatch supports publishing to both test PyPI and PyPI
 Version Control based versioning|✅ | Hatch offers `hatch_vcs` which is a plugin that uses setuptools_scm to support versioning using git tags. The workflow with `hatch_vcs` is the same as that with `setuptools_scm`.
 Version bumping| ✅ | Hatch supports you bumping the version of your package using standard semantic version terms patch; minor; major
@@ -325,24 +357,19 @@ Build your sdist and wheel distributions|✅| Hatch will build the sdist and whe
 
 ```
 
-_\*\* There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility_
+_\*\* There is some argument about this approach placing a burden on maintainers to create a custom build system. But others appreciate the flexibility. The Hatch build hook approach is also comparable with the features offered by PDM._
 
 ### Why you might not want to use Hatch
 
 There are a few features that hatch is missing that may be important for some.
 These include:
 
-- Doesn't support dependency pinning
-- Currently doesn't support use with other build back-ends. Lack of support for other build back-ends makes Hatch less desirable for users with more complex package builds. If your package is pure
-  Python, this won't be an issue. NOTE: there is a plan for this feature to be added in the upcoming months.
-- Hatch won't by default support Conda environments. [But you can use a plugin for this!](https://github.com/OldGrumpyViking/hatch-conda).
-- Hatch doesn't provide an end to end beginning workflow in it's documentation.
+- Hatch doesn't support adding dependencies. You will have to add them manually.
+- Hatch currently doesn't support use with other build back-ends. Lack of support for other build back-ends makes Hatch less desirable for users with more complex package builds. If your package is pure Python, then this won't be an issue.
+- Hatch won't by default recognize Conda environments without a plugin.
+- Similar to PDM, Hatch's documentation can difficult to work through, particularly if you are just getting started with creating a package.
 - Hatch, similar to PDM and Flit currently only has one maintainer.
 
-```{note}
-You can customize any aspect of the Hatch build by creating plugins.
-```
-
 ## Poetry
 
 [Poetry is a full-featured build tool.](https://python-poetry.org/) It is also
@@ -361,9 +388,10 @@ is currently undocumented. Thus, we don't recommend using Poetry for more comple
 :widths: 20,5,50
 :delim: "|"
 
-Dependency management|✅|Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Allows you to organize dependencies in groups: docs; package; tests.
-Dependency pinning|✅ |Poetry offers dependency pinning however it's default approach can be problematic for some packages. Read below for more.
-Select your environment manager of choice (conda; venv; etc)|✅ | Poetry allows you to either use its simple environment management tool or select the environment manager that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
+Add dependencies to your pyproject.toml file |✅|Poetry helps you add dependencies to your `pyproject.toml` metadata. _NOTE: currently Poetry adds dependencies using an approach that is slightly out of alignment with current Python peps - however there is a plan to fix this in an upcoming release._ Poetry also allows you to organize dependencies in groups such as  documentation, packaging and tests.
+Dependency specification |✅ |Poetry allows you to be specific about version of dependencies that you add to your package's pyproject.toml file. However, it's default upper bound approach can be problematic for some packages (We suggest you override the default setting when adding dependencies). Read below for more.
+Environment management |✅ | Poetry allows you to either use its built in environment or you can select the environment type that you want to use for managing your package. [Read more about its built in environment management options](https://python-poetry.org/docs/basic-usage/#using-your-virtual-environment).
+Lock files| ✅ | Poetry creates a **poetry.lock** file that you can use if you need a lock file for your build.
 Publish to PyPI and test PyPI|✅|Poetry supports publishing to both test PyPI and PyPI
 Version Control based versioning|✅ | The plugin [Poetry dynamic versioning](https://github.com/mtkennerly/poetry-dynamic-versioning) supports versioning using git tags with Poetry.
 Version bumping| ✅ | Poetry supports you bumping the version of your package using standard semantic version terms patch; minor; major
@@ -378,11 +406,11 @@ Build your sdist and wheel distributions|✅|Poetry will build your sdist and wh
 
 Some challenges of Poetry include:
 
-- Poetry, by default, pins dependencies using an "upper bound" limit specified with the `^` symbol by default. See breakout below for more regarding why this is potentially problematic.
-- _Minor:_ The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed when they release version 2.0.
+- Poetry, by default, pins dependencies using an "upper bound" limit specified with the `^` symbol by default. However, this behavior can be over-written by specifying the dependency when you use `Poetry add` as follows: `poetry add "requests>=2.1"` See breakout below for more discussion on issues surrounding upper-bounds pinning.
+- _Minor Challenge:_ The way Poetry currently adds metadata to your pyproject.toml file does not does not follow current Python standards. However, this is going to be addressed with Poetry release version 2.0.
 
 Poetry is an excellent tool. Use caution when using it to pin dependencies as
-Poetry's approach to pinning can be problematic for many builds.
+Poetry's approach to pinning can be problematic for many builds. If you use Poetry, we strongly suggest that you override the default upper bound dependency option.
 
 <!--https://github.com/py-pkgs/py-pkgs/issues/95#issuecomment-1035584750
 discusses the slight differences in how poetry adds deps....-->
@@ -405,18 +433,6 @@ This approach also won't support others ways of versioning tools, for instance,
 some tools use [calver](https://calver.org/) which creates new versions based on the date.
 ```
 
-```{admonition} Hatch vs PDM vs Poetry
-:class: note
-There are some features that Hatch and PDM offer that Poetry does not.
-
-Hatch: offers matrix environment management that allows you to run tests across
-Python versions. It also offers a Nox / Make file like tool to streamline your
-build workflow.
-PDM: does not offer matrix environments of Nox / Makefile like tools. It does
-offer dependency management but adheres to a >= approach when pinning (open bounds). This
-avoids the issue described below with Poetry's default upper bound pinning.
-```
-
 ## Using Setuptools Back-end for Python Packaging with Build Front-end
 
 [Setuptools](https://setuptools.pypa.io/en/latest/) is the most
@@ -445,8 +461,11 @@ Some of features of setuptools include:
 
 ### Challenges using setuptools
 
+<!--https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#editable-install-modules-not-found  -->
+
 Setuptools has a few challenges:
 
+- Setuptools does not support interactive IDE based tools such as [pylance](https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#editable-install-modules-not-found) in VSCODE. If you are using flit, hatch, PDM, and a current version of pip, editable installs will support interactive features such as tab completion when using an IDE like VSCODE or pycharm. However if you use `pip install -e .` with setuptools as your back end, you will not have this interactive IDE support.
 - Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
   not as flexible in its adoption of modern Python packaging
   standards.
diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index c92487d2..22fb0cd7 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,8 +1,13 @@
 # Python Package Structure for Scientific Python Projects
 
+We strongly suggest, but do not require, that you use the **src/** layout (discussed below)
+for creating your new Python package.
+
+We will review packages that use a flat layout as well. Learn more about both approaches below.
+
 ## Directories that should be in your starting Python package repository
 
-There are several core directories that should be included in all Python packages:
+There are several core directories that should be included in all Python source distributions / package structures:
 
 - **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
 - **tests/** this directory contains the tests for your project code
@@ -55,8 +60,7 @@ package as it will be installed on a users computer.
 The key characteristic of this layout is that your package
 uses a **src/package-name** directory structure. With this layout it is also
 common to include your `tests/` directory outside of the package
-directory. However, you may see some packages
-that includes tests within the **src/package-name** directory.
+directory.
 
 ```{admonition} Example scientific packages that use **src/package-name** layout
 
@@ -65,6 +69,7 @@ that includes tests within the **src/package-name** directory.
 * [openscm](https://github.com/openscm/openscm-runner)
 * [awkward](https://github.com/scikit-hep/awkward)
 * [poliastro](https://github.com/poliastro/poliastro/)
+
 ```
 
 #### Pros of the src/ layout
@@ -88,7 +93,9 @@ The benefits of the **src/package-name** layout include:
   installing your package. However, you can chose to add them to the package archive (which is a good idea). When test files (.py files only) are not included in the package archive your package size will be slightly smaller.
 
 ```{admonition} A note about including tests and data in your package distribution
-If you decide to include tests in your package, be sure to read the testing section of our guide. Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages. As such you
+If you decide to include tests in your package, be sure to read the [pytest documentation](https://docs.pytest.org/en/7.2.x/explanation/goodpractices.html#choosing-a-test-layout-import-rules).
+
+Also check out the testing section of our guide. Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages. As such you
 will want to ensure that large tests datasets are not included in your package distribution.
 ```
 

From 45b7ff8d99485d8359e2dd7d2d73d1ad5e45ee0b Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Tue, 21 Mar 2023 14:05:30 -0600
Subject: [PATCH 32/42] Add: new cleaned up diagram

---
 images/python-package-tools-decision-tree.png | Bin 504044 -> 308946 bytes
 .../python-package-build-tools.md             |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/images/python-package-tools-decision-tree.png b/images/python-package-tools-decision-tree.png
index 02be6bf4efd01fe1dd873fb7b0c27c4239c18342..a9c0134b5ecac125a29ecb5639a6c311274d6d44 100644
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diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index d2a7516e..b616ff58 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -465,7 +465,7 @@ Some of features of setuptools include:
 
 Setuptools has a few challenges:
 
-- Setuptools does not support interactive IDE based tools such as [pylance](https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#editable-install-modules-not-found) in VSCODE. If you are using flit, hatch, PDM, and a current version of pip, editable installs will support interactive features such as tab completion when using an IDE like VSCODE or pycharm. However if you use `pip install -e .` with setuptools as your back end, you will not have this interactive IDE support.
+- Setuptools does not support interactive features such as auto / tab completion by default if you are working in an IDE like VSCODE and using an editable install for development. [See notes here about pylance support](https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#editable-install-modules-not-found). In comparison, tools such as flit, hatch, PDM support interactive features such as tab / auto completion when using an IDE like VSCODE or pycharm (as long as your version of pip is current!).
 - Because **setuptools** has to maintain backwards compatibility across a range of packages, it is
   not as flexible in its adoption of modern Python packaging
   standards.

From d427e08d9f9b35f9536aa4172d794b911888fec0 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Tue, 21 Mar 2023 14:28:39 -0600
Subject: [PATCH 33/42] Fix: clarify the section on adding tests to src layout

---
 .../python-package-structure.md               | 37 ++++++++++++++-----
 1 file changed, 28 insertions(+), 9 deletions(-)

diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 22fb0cd7..43d608e9 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -57,10 +57,11 @@ for new maintainers. It is also recommended in the
 makes it easier for you to create a package build workflow that tests your
 package as it will be installed on a users computer.
 
-The key characteristic of this layout is that your package
-uses a **src/package-name** directory structure. With this layout it is also
-common to include your `tests/` directory outside of the package
-directory.
+The key characteristics of this layout include:
+
+- Your package uses a **src/package-name** directory structure,
+- You include a `tests/` directory outside of the package
+  directory.
 
 ```{admonition} Example scientific packages that use **src/package-name** layout
 
@@ -90,15 +91,33 @@ The benefits of the **src/package-name** layout include:
   package rather than on the flat files imported directly from your package. If you run your tests on your flat files, you may be missing issues that users encounter when your package is installed.
 - If `tests/` are outside of the **src/package-name** directory, they aren't by default
   delivered to a user
-  installing your package. However, you can chose to add them to the package archive (which is a good idea). When test files (.py files only) are not included in the package archive your package size will be slightly smaller.
+  installing your package. When test files (.py files only) are not included in the package wheel your package size will be slightly smaller. This places a smaller storage burden on PyPI which has over 400,000 packages to support.
 
-```{admonition} A note about including tests and data in your package distribution
-If you decide to include tests in your package, be sure to read the [pytest documentation](https://docs.pytest.org/en/7.2.x/explanation/goodpractices.html#choosing-a-test-layout-import-rules).
+````{admonition} A note about including tests and data in your package distribution
+If you decide to include tests in your package, your directory structure
+will look like the example below. Notice that below the tests directory
+is contained within the src/package-name directory ensuring the tests will be included in your package's wheel.
 
-Also check out the testing section of our guide. Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages. As such you
-will want to ensure that large tests datasets are not included in your package distribution.
+```bash
+src/
+  package-name/
+    tests/
+docs/
 ```
 
+Be sure to read the [pytest documentation](https://docs.pytest.org/en/7.2.x/explanation/goodpractices.html#choosing-a-test-layout-import-rules).
+
+### **Don't include test suite datasets in your package**
+
+Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages.
+
+As such you
+should never include datasets needed for your tests in your package
+distribution. Rather consider hosting them on a data repository such as figshare or zenodo and using a tool such as [Pooch](https://www.fatiando.org/pooch/latest/) to access them when you run tests.
+Check out the testing section of our guide for more information about tests.
+
+````
+
 - The **src/package-name** layout is semantically more clear. Code is always found in the
   **src/package-name** directory, `tests/` and `docs/`are in the root directory.
 

From 5c74e82ec08f2ffb2d70df020d26b00abcf90c21 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 22 Mar 2023 10:53:46 -0600
Subject: [PATCH 34/42] Cleanup of package structure page

---
 .../python-package-structure.md               | 223 ++++++++----------
 1 file changed, 103 insertions(+), 120 deletions(-)

diff --git a/package-structure-code/python-package-structure.md b/package-structure-code/python-package-structure.md
index 43d608e9..cce9e8fe 100644
--- a/package-structure-code/python-package-structure.md
+++ b/package-structure-code/python-package-structure.md
@@ -1,42 +1,13 @@
 # Python Package Structure for Scientific Python Projects
 
-We strongly suggest, but do not require, that you use the **src/** layout (discussed below)
-for creating your new Python package.
-
-We will review packages that use a flat layout as well. Learn more about both approaches below.
-
-## Directories that should be in your starting Python package repository
-
-There are several core directories that should be included in all Python source distributions / package structures:
-
-- **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website
-- **tests/** this directory contains the tests for your project code
-- **src/package-name/**: this is the directory that contains the code for your Python project. It is normally named using your project's name.
-
-```{admonition} Multiple packages in a src/ folder
-:class: tip
-
-In some more advanced cases you may have more than one package in your src/ directory. See [black's GitHub repo](https://github.com/psf/black/tree/main/src) for an example of this. However for most beginners you will likely only have one sub-directory in your src/ folder.
-```
-
-## Src vs flat layouts
-
 There are two different layouts that you will commonly see
 within the Python packaging ecosystem:
 [src and flat layouts.](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)
 Both layouts have advantages for different groups of maintainers.
 
-The **src/package-name** approach nests your **package-name** directory, mentioned above as the directory where your code lives, into a **src/** directory like this:
-
-**src/package-name**
-
-In a flat layout approach, your package's code lives in a **package-name** directory
-at the root of your package's repository.
-
-On this page we:
-
-1. Suggest the **src/package-name** layout structure for new packages. This layout prevents some commonly found issues with the flat layout (discussed below).
-2. Introduce the flat layout as it is used in the scientific ecosystem. Currently this layout is the most common. As such it's good to be familiar with it in case you contribute to a package using a flat layout in the future!
+We strongly suggest, but do not require, that you use the **src/** layout (discussed below)
+for creating your Python package. This layout is also recommended in the
+[PyPA packaging guide](https://packaging.python.org/en/latest/tutorials/packaging-projects/).
 
 ```{admonition} pyOpenSci will never require a specific package structure for peer review
 :class: important
@@ -49,21 +20,54 @@ something getting started with Python packaging or someone who's package is
 has a simple build and might be open to moving to a more fail-proof approach.
 ```
 
-## The src/ layout for Python packages
+An example of the **src/package** layout structure can be seen below.
+
+```
+myPackageRepoName
+├── CHANGELOG.md               ┐
+├── CODE_OF_CONDUCT.md         │
+├── CONTRIBUTING.md            │
+├── docs                       │ Package documentation
+│   └── index.md
+│   └── ...                    │
+├── LICENSE                    │
+├── README.md                  ┘
+├── pyproject.toml             ┐
+├── src                        │
+│   └── myPackage              │ Package source code, metadata,
+│       ├── __init__.py        │ and build instructions
+│       ├── moduleA.py         │
+│       └── moduleB.py         ┘
+└── tests                      ┐
+   └── ...                     ┘ Package tests
+```
+
+Note the location of the following directories in the example above:
 
-The **src/package-name** layout is the approach that we suggest
-for new maintainers. It is also recommended in the
-[PyPA packaging guide](https://packaging.python.org/en/latest/tutorials/packaging-projects/). We suggest the **src/package-name** layout because it
-makes it easier for you to create a package build workflow that tests your
-package as it will be installed on a users computer.
+- **docs/:** discussed in our docs chapter, this directory contains your user-facing documentation website. In a **src/** layout docs/ are normally included at the same directory level of the **src/** folder.
+- **tests/** this directory contains the tests for your project code. In a **src/** layout tests are normally included at the same directory level of the **src/** folder.
+- **src/package/**: this is the directory that contains the code for your Python project. "Package" is normally your project's name.
 
-The key characteristics of this layout include:
+Also in the above example, notice that all of the core documentation files that
+pyOpenSci requires live in the root of your project directory. These files
+include:
 
-- Your package uses a **src/package-name** directory structure,
-- You include a `tests/` directory outside of the package
-  directory.
+- CHANGELOG.md
+- CODE_OF_CONDUCT.md
+- CONTRIBUTING.md
+- LICENSE.txt
+- README.md
 
-```{admonition} Example scientific packages that use **src/package-name** layout
+```{button-link} https://www.pyopensci.org/python-package-guide/documentation
+:color: primary
+:class: sd-rounded-pill
+
+Click here to read about our packaging documentation requirements.
+```
+
+While we recommend the **src/** layout we also review the **flat** layout here. Both are used in the Python ecosystem.
+
+```{admonition} Example scientific packages that use **src/package** layout
 
 * [Sourmash](https://github.com/sourmash-bio/sourmash)
 * [bokeh](https://github.com/bokeh/bokeh)
@@ -73,30 +77,33 @@ The key characteristics of this layout include:
 
 ```
 
-#### Pros of the src/ layout
+### The src/ layout and testing
+
+The benefit of using the **src/package** layout, particularly if you
+are creating a new package, is that it ensures tests are run against the
+installed version of your package rather than the files in your package
+working directory. If you run your tests on your files rather than the
+installed version, you may be missing issues that users encounter when
+your package is installed.
+
+If `tests/` are outside of the **src/package** directory, they aren't included in the package wheel. This makes your package size slightly smaller which then places places a smaller storage burden on PyPI which has over 400,000 packages to support.
+
+- [Read more about reasons to use the **src/package** layout](https://hynek.me/articles/testing-packaging/)
 
 ```{admonition} How Python discovers and prioritizes importing modules
-One of the main technical advantages of using the src/ layout, if you are just getting started with a new package,relates to how Python discovers packages. By default, Python adds a module in your current working directory to the  front of the Python module search path.
 
-This means that if you currently in your packages working directory, and your module code lives in the root e.g.: /package-name/module.py, python will discovers package-name/module.py before it the package as installed by pip or conda in a virtual environment.
+By default, Python adds a module in your current working directory to the front of the Python module search path.
 
-However, if your package lives in a directory structure that is **src/package-name** then it won't be, by default, added to the Python path. This means that when you run import package, python will be forced to first search the active environment (which has your package installed).
+This means that if you run your tests in your packages working directory, using a flat layout, `/package/module.py`, Python will discover `package-name/module.py` file before it discovers the installed package.
 
-Note that modern Python versions (3.11 and above) do have an option to adjust how the Python path finds modules (`PYTHONSAFEPATH`) however this is still a setting that a user would need to adjust in order to avoid the behavior of Python importing a module from your current working directory first.
-```
+However, if your package lives in a src/ directory structure **src/package** then it won't be, by default, added to the Python path. This means that when you import your package, Python will be forced to  search the active environment (which has your package installed).
 
-The benefits of the **src/package-name** layout include:
+Note: Python versions 3.11 and above have a path setting that can be adjusted to ensure the priority is to use installed packages first (e.g. `PYTHONSAFEPATH`).
+```
 
-- It ensures that tests always run on the installed version of your
-  package rather than on the flat files imported directly from your package. If you run your tests on your flat files, you may be missing issues that users encounter when your package is installed.
-- If `tests/` are outside of the **src/package-name** directory, they aren't by default
-  delivered to a user
-  installing your package. When test files (.py files only) are not included in the package wheel your package size will be slightly smaller. This places a smaller storage burden on PyPI which has over 400,000 packages to support.
+#### Sometimes tests are needed in a distribution
 
-````{admonition} A note about including tests and data in your package distribution
-If you decide to include tests in your package, your directory structure
-will look like the example below. Notice that below the tests directory
-is contained within the src/package-name directory ensuring the tests will be included in your package's wheel.
+We do not recommend including tests as part of your package wheel by default. However, not including tests in your package distribution will make it harder for people other than yourself to test whether your package is functioning correctly on their system. If you have a small test suite (Python files + data), and think your users may want to run tests locally on their systems, you can include tests by moving the `tests/` directory into the **src/package** directory (see example below).
 
 ```bash
 src/
@@ -105,73 +112,33 @@ src/
 docs/
 ```
 
-Be sure to read the [pytest documentation](https://docs.pytest.org/en/7.2.x/explanation/goodpractices.html#choosing-a-test-layout-import-rules).
-
-### **Don't include test suite datasets in your package**
-
-Large datasets associated with tests will slow down your package's install which can be frustrating to users. It also will consume more storage space on PyPI which is largely supported by volunteer maintainers and has storage costs to consider for it's 400,000+ packages.
-
-As such you
-should never include datasets needed for your tests in your package
-distribution. Rather consider hosting them on a data repository such as figshare or zenodo and using a tool such as [Pooch](https://www.fatiando.org/pooch/latest/) to access them when you run tests.
-Check out the testing section of our guide for more information about tests.
-
-````
+Including the **tests/** directory in your **src/package** directory ensures that tests will be included in your package's wheel.
 
-- The **src/package-name** layout is semantically more clear. Code is always found in the
-  **src/package-name** directory, `tests/` and `docs/`are in the root directory.
+Be sure to read the [pytest documentation for more about including tests in your package distribution](https://docs.pytest.org/en/7.2.x/explanation/goodpractices.html#choosing-a-test-layout-import-rules).
 
-```{admonition} A few notes about the src/ layout
+```{admonition} Challenges with including tests and data in a package wheel
 :class: tip
 
-It is important to note here that sometimes when using the src/package-name structure the directory name (e.g. package name) is different from the actual project or package name. What is important to take away here is that you should store your code within a sub directory within **src/**.
+Tests, especially when accompanied by test data can create a few small challenges including:
 
-* [Read more about reasons to use the **src/package-name** layout](https://hynek.me/articles/testing-packaging/)
-```
+- Take up space in your distribution which will build up over time as storage space on PyPI
+- Large file sizes can also slow down package install.
 
-An example of the **src/package-name** layout structure can be seen below.
-
-```
-myPackage
-├── CHANGELOG.md               ┐
-├── CODE_OF_CONDUCT.md         │
-├── CONTRIBUTING.md            │
-├── docs                       │ Package documentation
-│   └── index.md
-│   └── ...                    │
-├── LICENSE                    │
-├── README.md                  ┘
-├── pyproject.toml             ┐
-├── src                        │
-│   └── myPackage              │ Package source code, metadata,
-│       ├── __init__.py        │ and build instructions
-│       ├── moduleA.py         │
-│       └── moduleB.py         ┘
-└── tests                      ┐
-   └── ...                     ┘ Package tests
+However, in some cases, particularly in the scientific Python ecosystems you may need to include tests.
 ```
 
-## Core file requirements for a Python package
-
-In the above example, notice that all of the core documentation files that
-pyOpenSci requires live in the root of your project directory. These files
-include:
-
-- CHANGELOG.md
-- CODE_OF_CONDUCT.md
-- CONTRIBUTING.md
-- LICENSE.txt
-- README.md
+### **Don't include test suite datasets in your package**
 
-Also note that there is a **docs/** directory at the root where your user-facing
-documentation website lives.
+If you do include your tests in your package distribution, we strongly
+discourage you from including data in your test suite directory. Rather,
+host your test data in a repository such as Figshare or Zenodo. Use a
+tool such as [Pooch](https://www.fatiando.org/pooch/latest/) to access
+the data when you (or a user) runs tests.
 
-```{button-link} https://www.pyopensci.org/python-package-guide/documentation
-:color: primary
-:class: sd-rounded-pill
+Check out the testing section of our guide for more information about tests.
 
-Click here to read about our packaging documentation requirements.
-```
+- The **src/package** layout is semantically more clear. Code is always found in the
+  **src/package** directory, `tests/` and `docs/`are in the root directory.
 
 ```{important}
 If your package tests require data, we suggest that you do NOT include that
@@ -193,21 +160,21 @@ Currently most scientific packages use the **flat-layout** given:
   of the flat layout.
 
 While we present this layout here in our guide, we suggest that those just
-getting started with python packaging start with the src/package-name layout
+getting started with python packaging start with the src/package layout
 discussed above. Numerous packages in the ecosystem [have had to move to a
 src/ layout](https://github.com/scikit-build/cmake-python-distributions/pull/145)
 
 ```{admonition} Why most scientific Python packages do not use source
 :class: tip
 
-In most cases the advantages of using the **src/package-name** layout for
+In most cases the advantages of using the **src/package** layout for
 larger scientific packages that already use flat approach are not worth it.
-Moving from a flat layout to a **src/package-name** layout would come at a significant cost to
+Moving from a flat layout to a **src/package** layout would come at a significant cost to
 maintainers.
 
-However, the advantages of using the  **src/package-name** layout for a beginner are significant.
+However, the advantages of using the  **src/package** layout for a beginner are significant.
 As such, we recommend that if you are getting started with creating a package,
-that you consider using a  **src/package-name** layout.
+that you consider using a  **src/package** layout.
 ```
 
 ## What does the flat layout structure look like?
@@ -267,3 +234,19 @@ It would be a significant maintenance cost and burden to move all of these
 packages to a different layout. The potential benefits of the source layout
 for these tools is not worth the maintenance investment.
 ```
+
+<!--
+Not sure where to put this now ... most new users won't have multiple packages. maybe this goes into the complex packing page as we build that out?
+
+```{admonition} Multiple packages in a src/ folder
+:class: tip
+
+In some more advanced cases you may have more than one package in your src/ directory. See [black's GitHub repo](https://github.com/psf/black/tree/main/src) for an example of this. However, for most beginners you will likely only have one sub-directory in your **src/** folder.
+``` -->
+
+<!--
+```{admonition} A few notes about the src/ layout
+:class: tip
+
+It is important to note here that sometimes when using the src/package structure the directory name (e.g. package name) is different from the actual project or package name. What is important to take away here is that you should store your code within a sub directory within **src/**.
+``` -->

From 6d1cd13ab43983b3d4e452d6bbafffa83dcdade8 Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 22 Mar 2023 12:29:53 -0600
Subject: [PATCH 35/42] Final edits?! yaas

---
 images/python-package-tools-decision-tree.svg | 18546 ++++++++++++++++
 .../python-package-build-tools.md             |     2 +-
 pyproject.toml                                |     2 +-
 3 files changed, 18548 insertions(+), 2 deletions(-)
 create mode 100644 images/python-package-tools-decision-tree.svg

diff --git a/images/python-package-tools-decision-tree.svg b/images/python-package-tools-decision-tree.svg
new file mode 100644
index 00000000..f9c41ac9
--- /dev/null
+++ b/images/python-package-tools-decision-tree.svg
@@ -0,0 +1,18546 @@
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+           id="g778"
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+           style="display:inline"><text
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+             transform="translate(31.734375,44)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;display:inline;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text806"><tspan
+               id="tspan804"
+               x="0"
+               y="0" /></text><text
+             xml:space="preserve"
+             transform="translate(-734.73443,-148.00002)"
+             id="text4988"
+             style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:26.6667px;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Bold';white-space:pre;shape-inside:url(#rect4990);display:inline;fill:#ffffff"><tspan
+               x="650"
+               y="474.26321"
+               id="tspan96809">Do </tspan></text><text
+             xml:space="preserve"
+             transform="translate(-596.50001,-451.56333)"
+             id="text6035"
+             style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:37.3333px;font-family:Kalam;-inkscape-font-specification:'Kalam Bold';white-space:pre;shape-inside:url(#rect6037);display:inline;fill:#ffffff"
+             x="140.67155"
+             y="0"><tspan
+               x="693.54361"
+               y="479.56334"
+               id="tspan96813"><tspan
+                 style="text-align:center;text-anchor:middle;fill:#0d8da4"
+                 id="tspan96811">Do I need
+</tspan></tspan><tspan
+               x="633.30648"
+               y="526.22996"
+               id="tspan96817"><tspan
+                 style="text-align:center;text-anchor:middle;fill:#0d8da4"
+                 id="tspan96815">environment lock </tspan></tspan><tspan
+               x="729.43944"
+               y="572.89659"
+               id="tspan96821"><tspan
+                 style="text-align:center;text-anchor:middle;fill:#0d8da4"
+                 id="tspan96819">files?</tspan></tspan></text></g></g></g><g
+       id="g1474"
+       transform="matrix(0.31999998,0,0,0.31999998,12,22.000044)"><g
+         id="g1476"
+         clip-path="url(#clipPath1480)"><g
+           id="g1482"
+           transform="matrix(3.125,0,0,3.125,4762.0244,1071.7816)"><text
+             xml:space="preserve"
+             transform="translate(24.609375,74)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1486"><tspan
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+               y="0"
+               id="tspan1484">Do I want matrix</tspan></text><text
+             xml:space="preserve"
+             transform="translate(65.671875,110)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1490"><tspan
+               x="0 17.583252 37.544556 52.749741 62.117859 75.161163 91.591415 111.55272 141.06232 158.64557 178.60687"
+               y="0"
+               id="tspan1488">environment</tspan></text><text
+             xml:space="preserve"
+             transform="translate(31.4375,146)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1494"><tspan
+               x="0 16.826599 34.337784 53.722595 73.107407 89.537659 102.58096 118.83105 132.70308 148.37668 164.80693 177.85023 191.72226 201.30656 217.73682 235.35609 253.73203"
+               y="0"
+               id="tspan1492">support for local</tspan></text><text
+             xml:space="preserve"
+             transform="translate(95.359375,182)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1498"><tspan
+               x="0 16.250092 33.833344 50.659943 66.910034 76.278152 96.239456 113.57048"
+               y="0"
+               id="tspan1496">testing?</tspan></text></g></g></g><g
+       id="g1024"
+       transform="matrix(0.31999998,0,0,0.31999998,-10,36.000044)"><g
+         id="g1026"
+         clip-path="url(#clipPath1030)"><g
+           id="g1032"
+           transform="matrix(3.125,0,0,3.125,2273.4563,2227.1028)"><text
+             xml:space="preserve"
+             transform="translate(58.1875,85)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1036"><tspan
+               x="0 23.996811 40.427063 54.299088 65.432739 79.304764 99.266068 116.84932 134.43257 153.85341 167.72543 183.97552 200.40578 214.2778 231.78899 248.61559 266.19885 280.07086"
+               y="0"
+               id="tspan1034">Do I need to use a</tspan></text><text
+             xml:space="preserve"
+             transform="translate(93.65625,121)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1040"><tspan
+               x="0 16.826599 36.211411 53.794662 71.41394 80.782059 96.455658 105.82378 123.44305 137.31508 157.7448 175.25598 184.6241 194.2084"
+               y="0"
+               id="tspan1038">specific build</tspan></text><text
+             xml:space="preserve"
+             transform="translate(121.3125,157)"
+             style="font-variant:normal;font-weight:bold;font-size:36.04px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1044"><tspan
+               x="0 20.429718 38.805649 56.424927 74.188324 93.320923 110.90417 130.86548 150.28632"
+               y="0"
+               id="tspan1042">back-end?</tspan></text></g></g></g><text
+       xml:space="preserve"
+       style="font-size:116.667px;font-family:Kalam;-inkscape-font-specification:Kalam;white-space:pre;inline-size:1006.07;display:inline;fill:#0d8da4;fill-opacity:1;stroke-width:3.125"
+       x="145.58829"
+       y="787.25482"
+       id="text10386"
+       transform="matrix(0.31999998,0,0,0.31999998,47.26259,-14.145691)"><tspan
+         x="145.58829"
+         y="787.25482"
+         id="tspan96825"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96823">Is my package
+</tspan></tspan><tspan
+         x="145.58829"
+         y="933.08859"
+         id="tspan96829"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96827">pure Python?</tspan></tspan></text><text
+       xml:space="preserve"
+       style="font-size:116.667px;font-family:Kalam;-inkscape-font-specification:Kalam;white-space:pre;inline-size:1006.07;display:inline;fill:#0d8da4;fill-opacity:1;stroke-width:3.125"
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+         x="145.58829"
+         y="787.25482"
+         id="tspan96833"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96831">Does my package
+</tspan></tspan><tspan
+         x="145.58829"
+         y="933.08859"
+         id="tspan96837"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96835">have a few C/C++ </tspan></tspan><tspan
+         x="145.58829"
+         y="1078.9223"
+         id="tspan96841"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96839">extensions?</tspan></tspan></text><text
+       xml:space="preserve"
+       style="font-size:116.667px;font-family:Kalam;-inkscape-font-specification:Kalam;white-space:pre;inline-size:1006.07;display:inline;fill:#0d8da4;fill-opacity:1;stroke-width:3.125"
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+         y="787.25482"
+         id="tspan96845"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96843">Do I need lock </tspan></tspan><tspan
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+         y="933.08859"
+         id="tspan96849"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96847">files?</tspan></tspan></text><g
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+         transform="translate(104.70313,29)"
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+         id="text8994"><tspan
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+           y="0"
+           id="tspan8992">Use</tspan></text><text
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+           id="tspan8996">any</tspan></text><text
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+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+           y="0"
+           id="tspan9088">Hatch,</tspan></text><text
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+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+         xml:space="preserve"
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+         style="font-style:normal;font-variant:normal;font-weight:600;font-stretch:normal;font-size:34.71px;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold';writing-mode:lr-tb;fill:#ebe6e6;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+           id="tspan8982">Meson-Python</tspan></text><text
+         xml:space="preserve"
+         transform="translate(82.984375,131)"
+         style="font-style:normal;font-variant:normal;font-weight:600;font-stretch:normal;font-size:34.71px;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold';writing-mode:lr-tb;fill:#ebe6e6;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#ebe6e6;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+         transform="translate(82.984375,131)"
+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#ebe6e6;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+         xml:space="preserve"
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+         id="text1790"><tspan
+           x="0"
+           y="0"
+           id="tspan1788">A</tspan></text><text
+         xml:space="preserve"
+         transform="translate(107.32813,29)"
+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+         id="text1794"><tspan
+           x="0 22.807816"
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+           id="tspan1792">ny</tspan></text><text
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+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
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+           x="0"
+           y="0"
+           id="tspan8938">P</tspan></text><text
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+           x="0 20.6483 36.854614 53.789688"
+           y="0"
+           id="tspan9108"
+           style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:Kalam;-inkscape-font-specification:Kalam">Use:</tspan></text></g><g
+       id="g1230"
+       transform="matrix(0.32014591,0,0,0.32032774,-4.337736,12.898527)"
+       style="filter:url(#filter51356)"><g
+         id="g1232"
+         clip-path="url(#clipPath1236)"><g
+           id="g1238"
+           clip-path="url(#clipPath1242)"><g
+             id="g1244"
+             clip-path="url(#clipPath1248)"><g
+               id="g1250"
+               clip-path="url(#clipPath1254)"><g
+                 id="g1256"
+                 clip-path="url(#clipPath1260)"><g
+                   id="g1262"
+                   transform="matrix(1.2664471,0,0,1.2664471,4024.5125,3081.4587)"><path
+                     d="M 0,0 H 500 V 500 H 0 Z"
+                     style="fill:#ffffff;fill-opacity:1;fill-rule:nonzero;stroke:none"
+                     id="path1264" /></g></g></g></g></g></g></g><g
+       id="g1800"
+       transform="translate(1983.3244,1077.2889)"><text
+         xml:space="preserve"
+         transform="translate(23.28125,29)"
+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:OpenSans;-inkscape-font-specification:OpenSans-Bold;writing-mode:lr-tb;fill:#0d8da4;fill-opacity:1;fill-rule:nonzero;stroke:none"
+         id="text1804"><tspan
+           x="0 21.791122 47.479568"
+           y="0"
+           id="tspan1802">PDM</tspan></text></g><g
+       id="g1938"
+       transform="matrix(0.31999998,0,0,0.31999998,0,4.4434664e-5)"><g
+         id="g1940"
+         clip-path="url(#clipPath1944)"><g
+           id="g1946"
+           transform="matrix(3.125,0,0,3.125,6085.1748,3277.8027)"><text
+             xml:space="preserve"
+             transform="translate(63.09375,25)"
+             style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#a6a6a6;fill-opacity:1;fill-rule:nonzero;stroke:none"
+             id="text1950"><tspan
+               x="0 20.6483 36.854614 53.789688"
+               y="0"
+               id="tspan1948"
+               style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:Kalam;-inkscape-font-specification:Kalam">Use:</tspan></text></g></g></g><g
+       id="g9038"
+       transform="translate(1290.1908,1025.3041)"><text
+         xml:space="preserve"
+         transform="translate(32.03125,25)"
+         style="font-variant:normal;font-weight:bold;font-size:34.71px;font-family:Kalam;-inkscape-font-specification:Kalam-Bold;writing-mode:lr-tb;fill:#a6a6a6;fill-opacity:1;fill-rule:nonzero;stroke:none"
+         id="text9042"><tspan
+           x="0 21.411758 40.949554 56.774124 65.796906 82.766678 99.701752 115.90807"
+           y="0"
+           id="tspan9040"
+           style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:Kalam;-inkscape-font-specification:Kalam">Choices:</tspan></text></g><g
+       id="g8952"
+       transform="translate(1282.0309,1060.7233)"><text
+         xml:space="preserve"
+         transform="translate(-1253.2976,-1070.7233)"
+         id="text78883"
+         style="font-style:italic;font-variant:normal;font-weight:500;font-stretch:semi-condensed;font-size:29.3333px;font-family:'Open Sans SemiCondensed';-inkscape-font-specification:'Open Sans SemiCondensed,  Medium Italic Semi-Condensed';text-align:start;white-space:pre;shape-inside:url(#rect78885);display:inline;fill:#e6e6e6;stroke:none;stroke-width:3.525;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1" /><text
+         xml:space="preserve"
+         style="font-size:100px;line-height:89.286px;font-family:Kalam;-inkscape-font-specification:Kalam;white-space:pre;inline-size:1006.07;display:inline;fill:#0d8da4;fill-opacity:1;stroke-width:3.125"
+         x="145.58829"
+         y="787.25482"
+         id="text10386-9-1"
+         transform="matrix(0.31999998,0,0,0.31999998,-3.8857221,-230.64483)"><tspan
+           x="145.58829"
+           y="787.25482"
+           id="tspan96853"><tspan
+             style="font-weight:600;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold'"
+             id="tspan96851">PDM,
+</tspan></tspan><tspan
+           x="145.58829"
+           y="888.34012"
+           id="tspan96857"><tspan
+             style="font-weight:600;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold'"
+             id="tspan96855">Hatch,
+</tspan></tspan><tspan
+           x="145.58829"
+           y="989.42545"
+           id="tspan96861"><tspan
+             style="font-weight:600;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold'"
+             id="tspan96859">Poetry,
+</tspan></tspan><tspan
+           x="145.58829"
+           y="1090.5108"
+           id="tspan96865"><tspan
+             style="font-weight:600;font-family:'Open Sans';-inkscape-font-specification:'Open Sans Semi-Bold'"
+             id="tspan96863">** Build</tspan></tspan></text></g><text
+       xml:space="preserve"
+       transform="translate(379.38941,-6.9507137)"
+       id="text13232"
+       style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:48px;font-family:Kalam;-inkscape-font-specification:'Kalam Bold';white-space:pre;shape-inside:url(#rect13234);display:inline;fill:#e9afaf"><tspan
+         x="1550"
+         y="88.010038"
+         id="tspan96869"><tspan
+           style="fill:#0d8da4"
+           id="tspan96867">Pick a </tspan></tspan><tspan
+         x="1550"
+         y="148.01004"
+         id="tspan96873"><tspan
+           style="fill:#0d8da4"
+           id="tspan96871">Packaging </tspan></tspan><tspan
+         x="1550"
+         y="208.01004"
+         id="tspan96877"><tspan
+           style="fill:#0d8da4"
+           id="tspan96875">Tool</tspan></tspan></text><g
+       id="g9050"
+       transform="translate(52.38657,46.835648)"
+       style="display:inline;fill:#e6e6e6"><text
+         xml:space="preserve"
+         transform="translate(-1049.4959,-33.63896)"
+         id="text38851"
+         style="font-style:italic;font-variant:normal;font-weight:500;font-stretch:semi-condensed;font-size:29.3333px;font-family:'Open Sans SemiCondensed';-inkscape-font-specification:'Open Sans SemiCondensed,  Medium Italic Semi-Condensed';text-align:start;white-space:pre;shape-inside:url(#rect38853);display:inline;fill:#e6e6e6;stroke:none;stroke-width:3.525;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1"
+         x="-356.73438"
+         y="0"><tspan
+           x="1050"
+           y="26.689464"
+           id="tspan96879">Pure Python packages can use any back-end.
+</tspan><tspan
+           x="1050"
+           y="63.35609"
+           id="tspan96881">Consider starting with a default back-end for the tool that you </tspan><tspan
+           x="1050"
+           y="100.02272"
+           id="tspan96883">select (ie use pdm-back-end with the PDM front-end </tspan></text></g><g
+       id="g9050-0"
+       transform="translate(1202.2862,1246.6174)"
+       style="display:inline"><text
+         xml:space="preserve"
+         transform="translate(-1053.4959,30.361036)"
+         id="text38851-0"
+         style="font-style:italic;font-variant:normal;font-weight:500;font-stretch:semi-condensed;font-size:29.3333px;font-family:'Open Sans SemiCondensed';-inkscape-font-specification:'Open Sans SemiCondensed,  Medium Italic Semi-Condensed';text-align:start;white-space:pre;shape-inside:url(#rect38853-8);shape-padding:75.5268;display:inline;fill:#ffffff;stroke:none;stroke-width:3.525;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1"
+         x="-356.73438"
+         y="0"><tspan
+           x="1125.5273"
+           y="102.21681"
+           id="tspan96885">** Build is a front-end tool that is ONLY </tspan><tspan
+           x="1125.5273"
+           y="138.88343"
+           id="tspan96887">used to create your package's sdist and </tspan><tspan
+           x="1125.5273"
+           y="175.55006"
+           id="tspan96889">Wheel distributions.</tspan></text></g><path
+       style="fill:#ffffff;fill-rule:evenodd;stroke:#f8f8f8;stroke-width:3.4;stroke-linecap:butt;stroke-linejoin:miter;stroke-dasharray:0.34, 0.34;stroke-dashoffset:0;stroke-opacity:1;marker-end:url(#Sketch)"
+       d="m 200,942 v 250"
+       id="path13363" /><text
+       xml:space="preserve"
+       style="font-size:116.667px;font-family:Kalam;-inkscape-font-specification:Kalam;white-space:pre;inline-size:1225.81;display:inline;fill:#0d8da4;fill-opacity:1;stroke-width:3.125"
+       x="145.58829"
+       y="787.25482"
+       id="text10386-9-7"
+       transform="matrix(0.31999998,0,0,0.31999998,15.151935,991.40653)"><tspan
+         x="145.58829"
+         y="787.25482"
+         id="tspan96893"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96891">Does my package
+</tspan></tspan><tspan
+         x="145.58829"
+         y="933.08859"
+         id="tspan96897"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96895">have many C/C++ </tspan></tspan><tspan
+         x="145.58829"
+         y="1078.9223"
+         id="tspan96901"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96899">extensions &amp; wrap </tspan></tspan><tspan
+         x="145.58829"
+         y="1224.7561"
+         id="tspan96905"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96903">other languages
+</tspan></tspan><tspan
+         x="145.58829"
+         y="1370.5899"
+         id="tspan96909"><tspan
+           style="font-weight:bold;-inkscape-font-specification:'Kalam Bold'"
+           id="tspan96907">(e.g. fortran)?</tspan></tspan></text></g><g
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diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index b616ff58..66ceddfc 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -10,7 +10,7 @@ extensions.
 
 :::{figure-md} fig-target
 
-<img src="../images/python-package-tools-decision-tree.png" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
+<img src="../images/python-package-tools-decision-tree.svg" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
 
 Diagram showing the various from end build tools that you can select from. Each tool has different features as highlighted below.
 NOTE: this is still a DRAFT so i'm not going to spend time truly cleaning it up until i get lots of feedback on the general approach!!
diff --git a/pyproject.toml b/pyproject.toml
index 7b0de45f..29048ea5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,4 +1,4 @@
 # https://github.com/codespell-project/codespell#usage
 [tool.codespell]
 ignore-words = "codespell-ignore.txt"
-skip = "./.git,./.nox,./_static,./_build,codespell-ignore.txt"
+skip = "./.git,./.nox,./_static,./_build,codespell-ignore.txt,*.svg"

From bdea95153d01bf5b1712bca5260cdd61c7eca06d Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 22 Mar 2023 12:43:42 -0600
Subject: [PATCH 36/42] Fix image

---
 images/python-package-tools-decision-tree.png | Bin 308946 -> 721401 bytes
 package-structure-code/intro.md               |   7 +++++++
 2 files changed, 7 insertions(+)

diff --git a/images/python-package-tools-decision-tree.png b/images/python-package-tools-decision-tree.png
index a9c0134b5ecac125a29ecb5639a6c311274d6d44..8908e9cf1e4be33976ceeaca3a9e10aab8bea2ec 100644
GIT binary patch
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diff --git a/package-structure-code/intro.md b/package-structure-code/intro.md
index 72d623d4..e014f7ff 100644
--- a/package-structure-code/intro.md
+++ b/package-structure-code/intro.md
@@ -8,6 +8,13 @@ The good news is there are some great modern packaging
 tools that ensure that you're following best practices. Here, we
 review tool features and suggest tools that might be best fitted for your workflow.
 
+:::{figure-md} fig-target
+
+<img src="../images/python-package-tools-decision-tree.png" alt="Figure showing a decision tree with the various packaging tool front end and back end options." width="700px">
+
+Diagram showing the various from end build tools that you can select from. See the packaging tools page to learn more about each tool.
+:::
+
 ```{note}
 If you are considering submitting a package for peer review, have a look at the
 bare-minimum [editor checks](https://www.pyopensci.org/software-peer-review/how-to/editor-in-chief-guide.html#editor-checklist-template) that pyOpenSci

From f3c20de77bfeef63c36a10826855e67e5fbe6bfd Mon Sep 17 00:00:00 2001
From: Leah Wasser <leah@pyopensci.org>
Date: Wed, 22 Mar 2023 17:19:20 -0600
Subject: [PATCH 37/42] Fix: ordered list on complex package page (#62)

* One more image fix

* Fix: quick fix to issue with complex package ordered list'

* Fix ordered list
---
 package-structure-code/complex-python-package-builds.md | 9 +++++----
 package-structure-code/python-package-build-tools.md    | 2 +-
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/package-structure-code/complex-python-package-builds.md b/package-structure-code/complex-python-package-builds.md
index 0e4217d6..58183c4e 100644
--- a/package-structure-code/complex-python-package-builds.md
+++ b/package-structure-code/complex-python-package-builds.md
@@ -11,8 +11,9 @@ You can classify Python package complexity into three general categories. These
 categories can in turn help you select the correct package front-end and
 back-end tools.
 
-1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that
-   has the features that you want and be done with your decision!
-2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that
-   supports additional build setps. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page. 3.**Python packages that have extensions written in different languages (e.g. Fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
+1. **Pure-python packages:** these are packages that only rely on Python to function. Building a pure Python package is simpler. As such, you can chose a tool below that has the features that you want and be done with your decision!
+
+2. **Python packages with non-Python extensions:** These packages have additional components called extensions written in other languages (such as C or C++). If you have a package with non-python extensions, then you need to select a build back-end tool that allows you to add additional build steps needed to compile your extension code. Further, if you wish to use a front-end tool to support your workflow, you will need to select a tool that supports additional build setups. In this case, you could use setuptools. However, we suggest that you chose build tool that supports custom build steps such as Hatch with Hatchling or PDM. PDM is an excellent choice as it allows you to also select your build back-end of choice. We will discuss this at a high level on the complex builds page.
+
+3. **Python packages that have extensions written in different languages (e.g. Fortran and C++) or that have non Python dependencies that are difficult to install (e.g. GDAL)** These packages often have complex build steps (more complex than a package with just a few C extensions for instance). As such, these packages require tools such as [scikit-build](https://scikit-build.readthedocs.io/en/latest/)
    or [meson-python](https://mesonbuild.com/Python-module.html) to build. NOTE: you can use meson-python with PDM.
diff --git a/package-structure-code/python-package-build-tools.md b/package-structure-code/python-package-build-tools.md
index 66ceddfc..ace87d5f 100644
--- a/package-structure-code/python-package-build-tools.md
+++ b/package-structure-code/python-package-build-tools.md
@@ -10,7 +10,7 @@ extensions.
 
 :::{figure-md} fig-target
 
-<img src="../images/python-package-tools-decision-tree.svg" alt="Figure showing... will finish this once we are all happy with the figure and it's not going to change more..." width="700px">
+<img src="../images/python-package-tools-decision-tree.png" alt="Decision tree diagram showing the various front and back end packaging tools. You can decide what packaging tool to use by thinking about what features you need. PDM is currently the most flexible tool that also supports both non pure Python projects and also using different build back-ends. As such currently PDM is the tool we think beginners might appreciate most with Poetry being a close second. Poetry is ideal for pure python projects." width="700px">
 
 Diagram showing the various from end build tools that you can select from. Each tool has different features as highlighted below.
 NOTE: this is still a DRAFT so i'm not going to spend time truly cleaning it up until i get lots of feedback on the general approach!!

From 115f55923f8896bacb9c07cad5efa872c0201034 Mon Sep 17 00:00:00 2001
From: "allcontributors[bot]"
 <46447321+allcontributors[bot]@users.noreply.github.com>
Date: Wed, 22 Mar 2023 17:23:38 -0600
Subject: [PATCH 38/42] docs: add hugovk as a contributor for code, and review
 (#63)

* docs: update README.md [skip ci]

* docs: update .all-contributorsrc [skip ci]

---------

Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com>
---
 .all-contributorsrc | 10 ++++++++++
 README.md           |  3 ++-
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/.all-contributorsrc b/.all-contributorsrc
index 91e97f46..0faa7c97 100644
--- a/.all-contributorsrc
+++ b/.all-contributorsrc
@@ -213,6 +213,16 @@
         "code",
         "review"
       ]
+    },
+    {
+      "login": "hugovk",
+      "name": "Hugo van Kemenade",
+      "avatar_url": "https://avatars.githubusercontent.com/u/1324225?v=4",
+      "profile": "https://github.com/hugovk",
+      "contributions": [
+        "code",
+        "review"
+      ]
     }
   ],
   "contributorsPerLine": 7,
diff --git a/README.md b/README.md
index 0586c18a..47d1dddd 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # <img src="images/logo/logo.png" width=40 /> pyOpenSci Scientific Python Open Source Packaging Guide
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
-[![All Contributors](https://img.shields.io/badge/all_contributors-20-orange.svg?style=flat-square)](#contributors-)
+[![All Contributors](https://img.shields.io/badge/all_contributors-21-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 ![GitHub release (latest by date)](https://img.shields.io/github/v/release/pyopensci/python-package-guide?color=purple&display_name=tag&style=plastic)
@@ -101,6 +101,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
       <td align="center" valign="top" width="14.28%"><a href="https://orcid.org/0000-0003-2843-6044"><img src="https://avatars.githubusercontent.com/u/1662261?v=4?s=100" width="100px;" alt="Chiara Marmo"/><br /><sub><b>Chiara Marmo</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=cmarmo" title="Code">💻</a> <a href="#design-cmarmo" title="Design">🎨</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Acmarmo" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="http://web.science.mq.edu.au/directory/listing/person.htm?id=tjames"><img src="https://avatars.githubusercontent.com/u/1281144?v=4?s=100" width="100px;" alt="James Tocknell"/><br /><sub><b>James Tocknell</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=aragilar" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Aaragilar" title="Reviewed Pull Requests">👀</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://frostming.com"><img src="https://avatars.githubusercontent.com/u/16336606?v=4?s=100" width="100px;" alt="Frost Ming"/><br /><sub><b>Frost Ming</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=frostming" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Afrostming" title="Reviewed Pull Requests">👀</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://github.com/hugovk"><img src="https://avatars.githubusercontent.com/u/1324225?v=4?s=100" width="100px;" alt="Hugo van Kemenade"/><br /><sub><b>Hugo van Kemenade</b></sub></a><br /><a href="https://github.com/pyOpenSci/python-package-guide/commits?author=hugovk" title="Code">💻</a> <a href="https://github.com/pyOpenSci/python-package-guide/pulls?q=is%3Apr+reviewed-by%3Ahugovk" title="Reviewed Pull Requests">👀</a></td>
     </tr>
   </tbody>
 </table>

From 1e5043134e0f6317f434e9cf1e9b42caa63c485e Mon Sep 17 00:00:00 2001
From: Hugo van Kemenade <hugovk@users.noreply.github.com>
Date: Wed, 22 Mar 2023 21:55:50 +0200
Subject: [PATCH 39/42] Use PyData Theme's Sphinx Design Components to fix dark
 mode contrast

---
 index.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/index.md b/index.md
index 2d05d49f..61eb5cbc 100644
--- a/index.md
+++ b/index.md
@@ -69,7 +69,6 @@ Learn about our open peer review process
 :::{grid-item-card}
 :link: documentation/index
 :link-type: doc
-:class-header: bg-light
 
 ✨ Documentation Criteria & Recommendations ✨
 ^^^
@@ -83,7 +82,6 @@ commonly used in the scientific Python community.
 :::{grid-item-card}
 :link: package-structure-code/intro
 :link-type: doc
-:class-header: bg-light
 
 ✨ Python packaging tools & structure ✨
 ^^^
@@ -93,7 +91,6 @@ All of the modern tools discussed in this guide will help you build an efficient
 :::{grid-item-card}
 :link: CONTRIBUTING
 :link-type: doc
-:class-header: bg-light
 
 ✨ Want to contribute? ✨
 ^^^

From e70ea332d511868922b2c8bc9a6bb1a554b33097 Mon Sep 17 00:00:00 2001
From: Simon <31246246+SimonMolinsky@users.noreply.github.com>
Date: Fri, 24 Mar 2023 09:33:20 +0100
Subject: [PATCH 40/42] The type hinting tutorial part 1

---
 .gitignore                                    |   4 +
 .../document-your-code-api-docstrings.md      | 104 ++++++++++++++++++
 2 files changed, 108 insertions(+)

diff --git a/.gitignore b/.gitignore
index 46e3d0d8..54529bf6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,4 +5,8 @@ tmp/
 .DS_Store
 .nox
 __pycache__
+<<<<<<< Updated upstream
 *notes-from-review.md
+=======
+*.idea*
+>>>>>>> Stashed changes
diff --git a/documentation/write-user-documentation/document-your-code-api-docstrings.md b/documentation/write-user-documentation/document-your-code-api-docstrings.md
index 6b964357..f8b0b147 100644
--- a/documentation/write-user-documentation/document-your-code-api-docstrings.md
+++ b/documentation/write-user-documentation/document-your-code-api-docstrings.md
@@ -207,3 +207,107 @@ def add_me(aNum, aNum2):
 
 
 ```
+
+
+## Beyond docstrings: type hints
+
+We can use docstrings to describe data types that we pass into functions as parameters or 
+into classes as attributes. We do it with package users in mind.
+
+What with us – developers? We can think of ourselves and the new contributors 
+and start using *type hinting* to make our journey safer!
+
+There are solid reasons why to use type hints:
+
+- Development and debugging is faster,
+- We clearly see data flow and its transformations,
+- We can use tools like `mypy` or integrated tools of Python IDEs for static type checking and code debugging.
+
+We should consider type hinting if our package performs data processing, 
+functions require complex inputs, and we want to lower the entrance barrier for our contributors. 
+The icing on the cake is that the code in our package will be aligned with the best industry standards.
+
+But there are reasons to *skip* type hinting:
+
+- Type hints may make code unreadable, especially when a parameter’s input takes multiple data types and we list them all,
+- It doesn’t make sense to write type hints for simple scripts and functions that perform obvious operations.
+
+Fortunately for us, type hinting is not all black and white. 
+We can gradually describe the parameters and outputs of some functions but leave others as they are. 
+Type hinting can be an introductory task for new contributors in seasoned packages, 
+that way their learning curve about data flow and dependencies between API endpoints will be smoother.
+
+## Type hints in practice
+
+Type hinting was introduced with Python 3.5 and is described in [PEP 484](https://peps.python.org/pep-0484/). 
+**PEP 484** defines the scope of type hinting. Is Python drifting towards compiled languages with type hinting?
+It is not. Type hints are optional and static and they will work like that in the future where Python is Python.
+The power of type hints lies somewhere between docstrings and unit tests, and with it we can avoid many bugs 
+throughout development.
+
+We've seen type hints in the simple example earlier, and we will change it slightly:
+
+
+```python
+from typing import Dict, List
+
+
+def extent_to_json(ext_obj: List) -> Dict:
+    """Convert bounds to a shapely geojson like spatial object."""
+    pass
+```
+
+Here we focus on the new syntax. First, we have described the parameter `ext_obj` as the `List` class. How do we do it? By adding a colon after parameter and the name of a class that is passed into a function. It’s not over and we see that the function definition after closing parenthesis is expanded. If we want to inform type checker what type function returns, then we create the arrow sign `->` that points to a returned type and after it we have function’s colon. Our function returns Python dictonray (`Dict`).
+
+```{note}
+We have exported classes `List` and `Dict` from `typing` module but we may use 
+`list` or `dict` keywords instead. We will achieve the same result. 
+Capitalized keywords are required when our package uses Python versions that are lower than
+Python 3.9. Python 3.7 will be deprecated in June 2023, Python 3.8 in October 2024.
+Thus, if your package supports the whole ecosystem, it should use `typing` module syntax.
+```
+
+### Type hints: basic example
+
+The best way to learn is by example. We will use the [pystiche](https://github.com/pystiche/pystiche/tree/main) package.
+To avoid confusion, we start from a mathematical operation with basic data types:
+
+```python
+import torch
+
+
+def _norm(x: torch.Tensor, dim: int = 1, eps: float = 1e-8) -> torch.Tensor:
+    ...
+
+```
+
+The function has three parameters:
+
+- `x` that is required and its type is `torch.Tensor`,
+- `dim`, optional `int` with a default value equal to `1`,
+- `eps`, optional `float` with a default value equal to `1e-8`.
+
+As we see, we can use basic data types to mark simple variables. The basic set of those types is:
+
+- `int`,
+- `float`,
+- `str`,
+- `bool`
+- `complex`.
+
+Most frequently we will use those types within a simple functions that are *close to data*.
+However, sometimes our variable will be a data structure that isn't built-in within Python itself 
+but comes from other packages:
+
+- `Tensor` from `pytorch`,
+- `ndarray` from `numpy`,
+- `DataFrame` from `pandas`,
+- `Session` from `requests`.
+
+To perform type checking we must import those classes, then we can set those as a parameter's type.
+The same is true if we want to use classes from within our package (but we should avoid **circular imports**, 
+the topic that we will uncover later).
+
+### Type hints: complex data types
+
+

From 1c3286704c210c891be081573a9c0bfe613bbf07 Mon Sep 17 00:00:00 2001
From: Simon <31246246+SimonMolinsky@users.noreply.github.com>
Date: Sat, 25 Mar 2023 13:01:18 +0100
Subject: [PATCH 41/42] pre-language corrections commit

---
 .../document-your-code-api-docstrings.md      | 150 ++++++++++++++++++
 1 file changed, 150 insertions(+)

diff --git a/documentation/write-user-documentation/document-your-code-api-docstrings.md b/documentation/write-user-documentation/document-your-code-api-docstrings.md
index f8b0b147..fb6bc7e0 100644
--- a/documentation/write-user-documentation/document-your-code-api-docstrings.md
+++ b/documentation/write-user-documentation/document-your-code-api-docstrings.md
@@ -310,4 +310,154 @@ the topic that we will uncover later).
 
 ### Type hints: complex data types
 
+We can use type hints to describe other objects available in Python.
+The little sample of those objects are: 
+
+- `List` (= `list`)
+- `Dict` (= `dict`)
+- `Tuple` (= `tuple`)
+- `Set` (= `set`)
+
+How do `pystiche` developers use those objects in their code? Let's take a look at the example below:
+
+```python
+from typing import List, Optional
+import torch
+
+
+def _extract_prev(self, idx: int, idcs: List[int]) -> Optional[str]:
+    ...
+
+```
+
+The function has two parameters. Parameter `idcs` is a list of integers. We may write it as `List[int]` or `List` without 
+square brackets and data type that is within a list.
+
+The `_extract_prev` function returns `Optional` type. It is a special type that is used to describe inputs and output 
+that can be `None`. There are more interesting types that we can use in our code:
+
+- `Union` – we can use it to describe a variable that can be of multiple types, the common example could be:
+
+```python
+from typing import List, Union
+import numpy as np
+import pandas as pd
+
+
+def process_data(data: Union[np.ndarray, pd.DataFrame, List]) -> np.ndarray:
+    ...
+
+```
+
+What's the problem with the example above? With more data types that can be passed into parameter `data`, the function definition 
+becomes unreadable. We have two solutions for this issue. The first one is to use `Any` type that is a wildcard type:
+
+```python
+from typing import Any
+
+
+def process_data(data: Any) -> np.ndarray:
+    ...
+
+```
+
+The second solution is to think what is a high level representation of passed data types. The examples are:
+
+- `Sequence` – we can use it to describe a variable that is a sequence of elements. Sequential are `list`, `tuple`, `range` and `str`.
+- `Iterable` – we can use it to describe a variable that is iterable. Iterables are `list`, `tuple`, `range`, `str`, `dict` and `set`.
+- `Mapping` – we can use it to describe a variable that is a mapping. Mappings are `dict` and `defaultdict`.
+- `Hashable` – we can use it to describe a variable that is hashable. Hashables are `int`, `float`, `str`, `tuple` and `frozenset`.
+- `Collection` - we can use it to describe a variable that is a collection. Collections are `list`, `tuple`, `range`, `str`, `dict`, `set` and `frozenset`.
+
+Thus, the function could look like:
+
+```python
+from typing import Iterable
+
+
+def process_data(data: Iterable) -> np.ndarray:
+    ...
+
+```
+
+### Type hints: special typing objects
+
+The `typing` module provides us with more objects that we can use to describe our variables. 
+Interesting object is `Callable` that we can use to describe a variable that is a function. Usually,
+when we write decorators or wrappers, we use `Callable` type. The example in the context of `pystiche` package:
+
+```python
+from typing import Callable
+
+
+def _deprecate(fn: Callable) -> Callable:
+    ...
+
+
+```
+
+The `Callable`can be used as a single word or as a word with square brackets that has two parameters: `Callable[[arg1, arg2], return_type]`. 
+The first parameter is a list of arguments, the second one is a return type.
+
+There is one more important case around type hints. Sometimes we want to describe a variable that comes from within 
+our package. Usually we can do it without any problems:
+
+```python
+from my_package import my_data_class
+
+
+def my_function(data: my_data_class) -> None:
+    ...
+
+```
+
+and it will work fine. But we may encounter *circual imports* that are a problem. What is a *circular import*? 
+It is a case when we want to import module B into module A but module A is already imported into module B. 
+It seems like we are importing the same module twice into itself. The issue is rare when we program without type
+hinting. However, with type hints it could be tedious.
+
+Thus, if you encounter this error:
+
+```python
+from my_package import my_data_class
+
+
+def my_function(data: my_data_class) -> None:
+    ...
+
+```
+
+```shell
+ImportError: cannot import name 'my_data_class' from partially initialized module 'my_package' (most likely due to a circular import) (/home/user/my_package/__init__.py)
+```
+
+Then you should use `typing.TYPE_CHECKING` clause to avoid circular imports. The example:
+
+```python
+from __future__ import annotations
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from my_package import my_data_class
+
+
+def my_function(data: my_data_class) -> None:
+    ...
+
+```
+
+Unfortunately, the solution is dirty because we have to 
+use `if TYPE_CHECKING` clause and `from __future__ import annotations` import to make it work! Type hinting
+is not only roses and butterflies!
+
+### Type hinting: final remarks and tools
+
+There are few tools designed for static type checking. The most popular one is [`mypy`](https://mypy.readthedocs.io/en/stable/).
+It's a good idea to add it to your Continuous Integration (CI) pipeline.
+Other tools are integrated with popular IDEs like `PyCharm` or `VSCode`, most of them are based on `mypy` logic.
+
+At this point, we have a good understanding of type hints and how to use them in our code. There is one last thing to 
+remember. **Type hints are not required in all our functions and we can introduce those gradually, it won't damage our code**.
+It is very convenient way of using this extraordinary feature!
+
 

From 4a21c54cfb7308879da10e9320a167133993b5ea Mon Sep 17 00:00:00 2001
From: Simon <31246246+SimonMolinsky@users.noreply.github.com>
Date: Sat, 25 Mar 2023 18:26:07 +0100
Subject: [PATCH 42/42] cleaned and final update of type hints

---
 .gitignore                                    |   3 -
 .../document-your-code-api-docstrings.md      | 157 +++++++++++-------
 2 files changed, 101 insertions(+), 59 deletions(-)

diff --git a/.gitignore b/.gitignore
index 54529bf6..49fb9bc9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,8 +5,5 @@ tmp/
 .DS_Store
 .nox
 __pycache__
-<<<<<<< Updated upstream
 *notes-from-review.md
-=======
 *.idea*
->>>>>>> Stashed changes
diff --git a/documentation/write-user-documentation/document-your-code-api-docstrings.md b/documentation/write-user-documentation/document-your-code-api-docstrings.md
index fb6bc7e0..3607f3e2 100644
--- a/documentation/write-user-documentation/document-your-code-api-docstrings.md
+++ b/documentation/write-user-documentation/document-your-code-api-docstrings.md
@@ -211,15 +211,15 @@ def add_me(aNum, aNum2):
 
 ## Beyond docstrings: type hints
 
-We can use docstrings to describe data types that we pass into functions as parameters or 
-into classes as attributes. We do it with package users in mind.
+We use docstrings to describe data types that we pass into functions as parameters or 
+into classes as attributes. *We do it with our users in mind.*
 
-What with us – developers? We can think of ourselves and the new contributors 
+**What with us – developers?** We can think of ourselves and the new contributors, 
 and start using *type hinting* to make our journey safer!
 
 There are solid reasons why to use type hints:
 
-- Development and debugging is faster,
+- Development and debugging are faster,
 - We clearly see data flow and its transformations,
 - We can use tools like `mypy` or integrated tools of Python IDEs for static type checking and code debugging.
 
@@ -230,22 +230,22 @@ The icing on the cake is that the code in our package will be aligned with the b
 But there are reasons to *skip* type hinting:
 
 - Type hints may make code unreadable, especially when a parameter’s input takes multiple data types and we list them all,
-- It doesn’t make sense to write type hints for simple scripts and functions that perform obvious operations.
+- Writing type hints for simple scripts and functions that perform obvious operations don't make sense.
 
 Fortunately for us, type hinting is not all black and white. 
 We can gradually describe the parameters and outputs of some functions but leave others as they are. 
-Type hinting can be an introductory task for new contributors in seasoned packages, 
-that way their learning curve about data flow and dependencies between API endpoints will be smoother.
+Type hinting can be a task for new contributors to get them used to the package structure.
+That way, their learning curve about data flow and dependencies between API endpoints will be smoother.
 
 ## Type hints in practice
 
 Type hinting was introduced with Python 3.5 and is described in [PEP 484](https://peps.python.org/pep-0484/). 
-**PEP 484** defines the scope of type hinting. Is Python drifting towards compiled languages with type hinting?
-It is not. Type hints are optional and static and they will work like that in the future where Python is Python.
-The power of type hints lies somewhere between docstrings and unit tests, and with it we can avoid many bugs 
+**PEP 484** defines the scope of type hinting. Is Python drifting towards compiled languages with this feature?
+It is not. Type hints are optional and static. They will work like that in the future until Python is Python.
+The power of type hints lies somewhere between docstrings and unit tests, and with it, we can avoid many bugs 
 throughout development.
 
-We've seen type hints in the simple example earlier, and we will change it slightly:
+We've seen type hints in the simple example earlier. Let's come back to it and change it slightly:
 
 
 ```python
@@ -254,23 +254,28 @@ from typing import Dict, List
 
 def extent_to_json(ext_obj: List) -> Dict:
     """Convert bounds to a shapely geojson like spatial object."""
-    pass
+    ...
+
 ```
 
-Here we focus on the new syntax. First, we have described the parameter `ext_obj` as the `List` class. How do we do it? By adding a colon after parameter and the name of a class that is passed into a function. It’s not over and we see that the function definition after closing parenthesis is expanded. If we want to inform type checker what type function returns, then we create the arrow sign `->` that points to a returned type and after it we have function’s colon. Our function returns Python dictonray (`Dict`).
+Here we focus on the new syntax. First, we described the parameter `ext_obj` as the `List` class. How do we do it? 
+Add a colon after the parameter (variable) and the name of a class that is passed into a function. 
+It’s not over. Do you see, that the function definition after closing parenthesis is expanded? 
+If we want to inform the type checker what the function returns, then we create the arrow sign `->` that points to a returned type, 
+and after it, we put the function’s colon. Our function returns a Python dictionary (`Dict`).
 
 ```{note}
-We have exported classes `List` and `Dict` from `typing` module but we may use 
+We have exported classes `List` and `Dict` from the `typing` module, but we may use 
 `list` or `dict` keywords instead. We will achieve the same result. 
 Capitalized keywords are required when our package uses Python versions that are lower than
-Python 3.9. Python 3.7 will be deprecated in June 2023, Python 3.8 in October 2024.
-Thus, if your package supports the whole ecosystem, it should use `typing` module syntax.
+Python 3.9. Python 3.7 will be deprecated in June 2023, and Python 3.8 in October 2024.
+Thus, if your package supports the whole ecosystem, it should use the `typing` module syntax.
 ```
 
 ### Type hints: basic example
 
 The best way to learn is by example. We will use the [pystiche](https://github.com/pystiche/pystiche/tree/main) package.
-To avoid confusion, we start from a mathematical operation with basic data types:
+To avoid confusion, we start with a mathematical operation:
 
 ```python
 import torch
@@ -283,7 +288,7 @@ def _norm(x: torch.Tensor, dim: int = 1, eps: float = 1e-8) -> torch.Tensor:
 
 The function has three parameters:
 
-- `x` that is required and its type is `torch.Tensor`,
+- `x` that is required, and its type is `torch.Tensor`,
 - `dim`, optional `int` with a default value equal to `1`,
 - `eps`, optional `float` with a default value equal to `1e-8`.
 
@@ -295,7 +300,7 @@ As we see, we can use basic data types to mark simple variables. The basic set o
 - `bool`
 - `complex`.
 
-Most frequently we will use those types within a simple functions that are *close to data*.
+We will most frequently use those types within simple functions that are *close to data*.
 However, sometimes our variable will be a data structure that isn't built-in within Python itself 
 but comes from other packages:
 
@@ -304,14 +309,14 @@ but comes from other packages:
 - `DataFrame` from `pandas`,
 - `Session` from `requests`.
 
-To perform type checking we must import those classes, then we can set those as a parameter's type.
+To perform type checking, we must import those classes. Then we can set those as a parameter's type.
 The same is true if we want to use classes from within our package (but we should avoid **circular imports**, 
-the topic that we will uncover later).
+the topic we will uncover later).
 
 ### Type hints: complex data types
 
 We can use type hints to describe other objects available in Python.
-The little sample of those objects are: 
+A little sample of those objects are: 
 
 - `List` (= `list`)
 - `Dict` (= `dict`)
@@ -330,13 +335,13 @@ def _extract_prev(self, idx: int, idcs: List[int]) -> Optional[str]:
 
 ```
 
-The function has two parameters. Parameter `idcs` is a list of integers. We may write it as `List[int]` or `List` without 
+The function has two parameters. The parameter `idcs` is a list of integers. We may write it as `List[int]` or `List` without 
 square brackets and data type that is within a list.
 
-The `_extract_prev` function returns `Optional` type. It is a special type that is used to describe inputs and output 
+The `_extract_prev` function returns the `Optional` type. It is a special type that describes inputs and output 
 that can be `None`. There are more interesting types that we can use in our code:
 
-- `Union` – we can use it to describe a variable that can be of multiple types, the common example could be:
+- `Union` – we can use it to describe a variable of multiple types. An example could be:
 
 ```python
 from typing import List, Union
@@ -349,8 +354,8 @@ def process_data(data: Union[np.ndarray, pd.DataFrame, List]) -> np.ndarray:
 
 ```
 
-What's the problem with the example above? With more data types that can be passed into parameter `data`, the function definition 
-becomes unreadable. We have two solutions for this issue. The first one is to use `Any` type that is a wildcard type:
+What's the problem with the example above? The function definition becomes unreadable with more data types passed into the parameter `data`. 
+We have two solutions for this issue. The first one is to use the `Any` type, which is a wildcard that is equal to not passing any type.
 
 ```python
 from typing import Any
@@ -361,15 +366,15 @@ def process_data(data: Any) -> np.ndarray:
 
 ```
 
-The second solution is to think what is a high level representation of passed data types. The examples are:
+The second solution is to think what is a high-level representation of a passed data type. The examples are:
 
-- `Sequence` – we can use it to describe a variable that is a sequence of elements. Sequential are `list`, `tuple`, `range` and `str`.
-- `Iterable` – we can use it to describe a variable that is iterable. Iterables are `list`, `tuple`, `range`, `str`, `dict` and `set`.
+- `Sequence` – we can use it to describe a variable as a sequence of elements. Sequential are `list`, `tuple`, `range` and `str`.
+- `Iterable` – we can use it to describe an iterable variable. Iterables are `list`, `tuple`, `range`, `str`, `dict` and `set`.
 - `Mapping` – we can use it to describe a variable that is a mapping. Mappings are `dict` and `defaultdict`.
-- `Hashable` – we can use it to describe a variable that is hashable. Hashables are `int`, `float`, `str`, `tuple` and `frozenset`.
-- `Collection` - we can use it to describe a variable that is a collection. Collections are `list`, `tuple`, `range`, `str`, `dict`, `set` and `frozenset`.
+- `Hashable` – we can use it to describe a hashable variable. Hashables are `int`, `float`, `str`, `tuple` and `frozenset`.
+- `Collection` - we can use it to describe a collection variable. Collections are `list`, `tuple`, `range`, `str`, `dict`, `set` and `frozenset`.
 
-Thus, the function could look like:
+Thus, the function could look like this:
 
 ```python
 from typing import Iterable
@@ -380,11 +385,11 @@ def process_data(data: Iterable) -> np.ndarray:
 
 ```
 
-### Type hints: special typing objects
+### Type hints: unique objects and interesting cases
 
 The `typing` module provides us with more objects that we can use to describe our variables. 
-Interesting object is `Callable` that we can use to describe a variable that is a function. Usually,
-when we write decorators or wrappers, we use `Callable` type. The example in the context of `pystiche` package:
+An interesting object is `Callable` that we can use to describe a variable that is a function. Usually,
+when we write decorators or wrappers, we use the `Callable` type. The example in the context of the `pystiche` package:
 
 ```python
 from typing import Callable
@@ -393,14 +398,13 @@ from typing import Callable
 def _deprecate(fn: Callable) -> Callable:
     ...
 
-
 ```
 
-The `Callable`can be used as a single word or as a word with square brackets that has two parameters: `Callable[[arg1, arg2], return_type]`. 
-The first parameter is a list of arguments, the second one is a return type.
+The `Callable`can be used as a single word or a word with square brackets with two parameters: `Callable[[arg1, arg2], return_type]`. 
+The first parameter is a list of arguments, and the second is a function output's data type.
 
-There is one more important case around type hints. Sometimes we want to describe a variable that comes from within 
-our package. Usually we can do it without any problems:
+There is an important case around type hints. Sometimes we want to describe a variable that comes from within 
+our package. Usually, we can do it without problems:
 
 ```python
 from my_package import my_data_class
@@ -411,10 +415,10 @@ def my_function(data: my_data_class) -> None:
 
 ```
 
-and it will work fine. But we may encounter *circual imports* that are a problem. What is a *circular import*? 
-It is a case when we want to import module B into module A but module A is already imported into module B. 
-It seems like we are importing the same module twice into itself. The issue is rare when we program without type
-hinting. However, with type hints it could be tedious.
+And it will work fine. But we may encounter *circular imports* that need to be fixed. What is a *circular import*? 
+It is a case when we want to import module B into module A, but module A is already imported into module B. 
+We are importing the same module into itself. The issue is rare when we program without type
+hinting. However, with type hints, it could be tedious.
 
 Thus, if you encounter this error:
 
@@ -431,12 +435,13 @@ def my_function(data: my_data_class) -> None:
 ImportError: cannot import name 'my_data_class' from partially initialized module 'my_package' (most likely due to a circular import) (/home/user/my_package/__init__.py)
 ```
 
-Then you should use `typing.TYPE_CHECKING` clause to avoid circular imports. The example:
+Then you should use the `typing.TYPE_CHECKING` clause to avoid circular imports. The example:
 
 ```python
 from __future__ import annotations
 from typing import TYPE_CHECKING
 
+
 if TYPE_CHECKING:
     from my_package import my_data_class
 
@@ -446,18 +451,58 @@ def my_function(data: my_data_class) -> None:
 
 ```
 
-Unfortunately, the solution is dirty because we have to 
-use `if TYPE_CHECKING` clause and `from __future__ import annotations` import to make it work! Type hinting
-is not only roses and butterflies!
+Unfortunately, the solution is *dirty* because we have to 
+use the `if TYPE_CHECKING` clause and `from __future__ import annotations` import to make it work. It make our
+script messier! Type hinting is not only the roses and butterflies!
+
+The nice feature of type hinting is that we can define variable's type within a function:
+
+```python
+from typing import Dict
+import numpy as np
+
+
+def validate_model_input(data: np.ndarray) -> Dict:
+    """
+    Function checks if dataset has enough records to perform modeling.
+    
+    Parameters
+    ----------
+    data : np.ndarray
+        Input data.
+    
+    Returns
+    -------
+    : Dict
+        Dictionary with `data`, `info` and `status` to decide if pipeline can proceed with modeling.
+    """
+    
+    output: Dict = None  # type hinting
+    
+    # Probably we don't have the lines below yet
+    
+    # if data.shape[0] > 50:
+    #     output = {"data": data, "info": "Dataset is big enough for statistical tests.", "status": True}
+    # else:
+    #     output = {"data": data, "info": "Dataset is too small for statistical tests.", "status": False}
+        
+    return output
+
+```
+
+We will use this feature rarely. The most probable scenario is when we start defining a function and its output, but 
+we don't know how we will process data. In this context, we can still run type checking to be sure that the
+function behaves as we expect within the newly designed pipeline. 
 
-### Type hinting: final remarks and tools
+(Another scenario: we will be forced to add type hints to silence dynamic type checkers from some IDEs ;) ).
 
-There are few tools designed for static type checking. The most popular one is [`mypy`](https://mypy.readthedocs.io/en/stable/).
-It's a good idea to add it to your Continuous Integration (CI) pipeline.
-Other tools are integrated with popular IDEs like `PyCharm` or `VSCode`, most of them are based on `mypy` logic.
 
-At this point, we have a good understanding of type hints and how to use them in our code. There is one last thing to 
-remember. **Type hints are not required in all our functions and we can introduce those gradually, it won't damage our code**.
-It is very convenient way of using this extraordinary feature!
+### Type hinting: final remarks
 
+There are tools designed for static type checking. The most popular one is [`mypy`](https://mypy.readthedocs.io/en/stable/).
+Adding it to your Continuous Integration (CI) pipeline is a good idea.
+Other tools are integrated with popular IDEs like `PyCharm` or `VSCode`; most are based on `mypy` logic.
 
+The last thing to remember is that **type hints are optional in all our functions, and we can introduce them gradually, 
+which won't damage our code and output generated by CI type checking tools**.  
+It is a very convenient way of using this extraordinary feature!