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Co-authored-by: Benjamin Zaitlen <[email protected]>
rapidsai · Aug 31, 2023 · 7f87ff6 · 7f87ff6
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diff --git a/README.md b/README.md
@@ -12,7 +12,7 @@ The C++ library is header-only making it easy to include in [existing projects](
 ### Features
 
 * Object oriented API of [cuFile](https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html) with C++/Python exception handling.
-* A Python Zarr backend for reading and writing GPU data to file seamlessly.
+* A Python [Zarr](https://zarr.readthedocs.io/en/stable/) backend for reading and writing GPU data to file seamlessly.
 * Concurrent reads and writes using an internal thread pool.
 * Non-blocking API.
 * Handle both host and device IO seamlessly.

diff --git a/cpp/doxygen/main_page.md b/cpp/doxygen/main_page.md
@@ -28,9 +28,9 @@ to include KvikIO in your CMake projects.
 
 ### Conda/Mamba
 
-We strongly recommend to use `mamba <https://github.com/mamba-org/mamba>`_ inplace of conda, which we will do throughout the documentation.
+We strongly recommend using `mamba <https://github.com/mamba-org/mamba>`_ inplace of conda, which we will do throughout the documentation.
 
-Install the **stable release** from the ``rapidsai`` channel like:
+Install the **stable release** from the ``rapidsai`` channel with the following:
 ```sh
 # Install in existing environment
 mamba install -c rapidsai -c conda-forge libkvikio
@@ -40,7 +40,7 @@ mamba create -n libkvikio-env -c rapidsai -c conda-forge cuda-version=11.8 libkv
 mamba create -n libkvikio-env -c rapidsai -c conda-forge cuda-version=12.0 libkvikio
 ```
 
-Install the **nightly release** from the ``rapidsai-nightly`` channel like:
+Install the **nightly release** from the ``rapidsai-nightly`` channel with the following:
 
 ```sh
 # Install in existing environment

diff --git a/docs/source/install.rst b/docs/source/install.rst
@@ -7,7 +7,7 @@ KvikIO can be installed using Conda/Mamba or from source.
 Conda/Mamba
 -----------
 
-We strongly recommend to use `mamba <https://github.com/mamba-org/mamba>`_ inplace of conda, which we will do throughout the documentation.
+We strongly recommend using `mamba <https://github.com/mamba-org/mamba>`_ inplace of conda, which we will do throughout the documentation.
 
 Install the **stable release** from the ``rapidsai`` channel like:
 

diff --git a/docs/source/zarr.rst b/docs/source/zarr.rst
@@ -1,7 +1,7 @@
 Zarr
 ====
 
-KvikIO implements a Zarr-Python backend for reading and writing GPU data to file seamlessly.
+KvikIO implements a `Zarr-Python <https://zarr.readthedocs.io/en/stable/>`_ backend for reading and writing GPU data to file seamlessly.
 
 The following is an example of how to use the convenience function :py:meth:`kvikio.zarr.open_cupy_array`
 to create a new Zarr array and how open an existing Zarr array.