day1-morning.rst

Day 1 / Morning

Introductions!

Introductory talk

For more on efficiency, reproducibility, and correctness, see this talk Titus gave in Colorado yesterday,, as well as the paper Best Practices in Scientific Computing.

You might also be interested in this blog post and the associated paper on version control.

Using this Web site

Reload to get the latest links!

Commenting

Here's a Google Doc that we'll paste stuff into:.

Intro technology, and Python basics

(Titus Brown)

Git quick guide:

• to retrieve the materials for the class, do:

  git clone https://github.com/swcarpentry/2013-04-az.git
  cd 2013-04-az/notebooks
  

  at the shell prompt. On Windows, you may need to use Git Bash to create the directory, and then cmd.exe to run ipython notebook (see below).

• to update the materials, do:

  git pull origin master
  

IPython Notebook quick guide:

• run

  ipython notebook --pylab=inline
  

  in the directory containing your notebook files. A Web view of the notebook should pop up.

  If you're using Anaconda, you can type:

  c:\anaconda\scripts\ipython notebook --pylab=inline
  

  The trick will be running this in the correct directory, but you have a little bit of time to figure this out because we won't start with a preexisting notebook.

• executing code

  shift-ENTER -- to execute current "code cell" and move to next
  ctrl-ENTER -- to execute current "code cell" and stay
  

Python installing guide:

• run, variously, one of

  pip install <packagename>
  

  or

  ~/anaconda/bin/pip install <packagename>
  

  or

  sudo pip install <packagename>
  

Applying Python basics to data analysis

(Rich Enbody)

Counting birds (full of code)

Generating the raw data -- for the interested

Rich's final notebook