Merge branch 'doc-getting-start' of https://github.com/dstansby/zarr-python into doc/3.0-updates

Author: jhamman

docs/about.rst

@@ -0,0 +1,22 @@
+About
+=====
+
+Zarr is a format for the storage of chunked, compressed, N-dimensional arrays
+inspired by `HDF5 <https://www.hdfgroup.org/HDF5/>`_, `h5py
+<https://www.h5py.org/>`_ and `bcolz <https://bcolz.readthedocs.io/>`_.
+
+These documents describe the Zarr Python implementation. More information
+about the Zarr format can be found on the `main website <https://zarr.dev>`_.
+
+If you are using Zarr, we would `love to hear about it
+<https://github.com/zarr-developers/community/issues/19>`_.
+
+Funding
+-------
+The project is fiscally sponsored by `NumFOCUS <https://numfocus.org/>`_, a US
+501(c)(3) public charity, and development is supported by the
+`MRC Centre for Genomics and Global Health <https://www.cggh.org>`_
+and the `Chan Zuckerberg Initiative <https://chanzuckerberg.com/>`_.
+
+
+.. _NumCodecs: https://numcodecs.readthedocs.io/

docs/index.rst

@@ -12,6 +12,7 @@ Zarr-Python
     user-guide/index
     api/index
     developers/index
+    about
 
 **Version**: |version|
 
@@ -27,7 +28,7 @@ Zarr is a storage format for chunked, compressed, N-dimensional arrays based on
 
 * Create N-dimensional arrays with any NumPy dtype.
 * Chunk arrays along any dimension.
-* Compress and/or filter chunks using any Numcodecs_ codec.
+* Compress and/or filter chunks using any NumCodecs_ codec.
 * Store arrays in memory, on disk, inside a Zip file, on S3, ...
 * Read an array concurrently from multiple threads or processes.
 * Write to an array concurrently from multiple threads or processes.
@@ -112,5 +113,3 @@ Zarr-Python Documentation
             :click-parent:
 
             To the contributor's guide
-
-.. _Numcodecs: https://numcodecs.readthedocs.io

docs/user-guide/installation.rst

@@ -6,7 +6,7 @@ Required dependencies
 
 Required dependencies include:
 
-- Python (3.11 or later)
+- `Python <https://docs.python.org/3/>`_ (3.11 or later)
 - `packaging <https://packaging.pypa.io>`_ (22.0 or later)
 - `numpy <https://numpy.org>`_ (1.25 or later)
 - `numcodecs[crc32c] <https://numcodecs.readthedocs.io>`_ (0.14 or later)