docs: fix link checker errors and warnings; run weekly

.github/workflows/links.yml

@@ -5,7 +5,7 @@ on:
   workflow_dispatch:
   # pull_request:
   schedule:
-    - cron: "00 18 * * *"
+    - cron: "00 18 * * 1" # weekly, Mondays at 18:00 UTC
 
 jobs:
   linkChecker:

README.md

@@ -8,24 +8,24 @@
 [![CondaForge](https://anaconda.org/conda-forge/zarr/badges/version.svg)](https://anaconda.org/anaconda/zarr/)
 [![Package Status](https://img.shields.io/pypi/status/zarr.svg)](https://pypi.org/project/zarr/)
 [![License](https://img.shields.io/pypi/l/zarr.svg)](https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt)
-[![Coverage](https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg)](https://codecov.io/gh/zarr-developers/zarr-python)
-[![Downloads](https://pepy.tech/badge/zarr)](https://zarr.readthedocs.io)
+[![Coverage](https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg)](https://app.codecov.io/gh/zarr-developers/zarr-python)
+[![Downloads](https://static.pepy.tech/badge/zarr)](https://zarr.readthedocs.io/en/stable/)
 [![Developer Chat](https://img.shields.io/badge/zulip-join_chat-brightgreen.svg)](https://ossci.zulipchat.com/#narrow/channel/423692-Zarr-Python)
 [![Citation](https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg)](https://doi.org/10.5281/zenodo.3773450)
 
 ## What is it?
 
-Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io) for more information.
+Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io/en/stable/) for more information.
 
 ## Main Features
 
-- [**Create**](https://zarr.readthedocs.io/en/stable/user-guide/arrays.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`.
-- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/user-guide/performance.html#chunk-optimizations) along any dimension.
-- [**Compress**](https://zarr.readthedocs.io/en/stable/user-guide/arrays.html#compressors) and/or filter chunks using any NumCodecs codec.
-- [**Store arrays**](https://zarr.readthedocs.io/en/stable/user-guide/storage.html) in memory, on disk, inside a zip file, on S3, etc...
-- [**Read**](https://zarr.readthedocs.io/en/stable/user-guide/arrays.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/user-guide/performance.html#parallel-computing-and-synchronization) from multiple threads or processes.
-- [**Write**](https://zarr.readthedocs.io/en/stable/user-guide/arrays.html#reading-and-writing-data) to an array concurrently from multiple threads or processes.
-- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/quickstart.html#hierarchical-groups).
+- [**Create**](https://zarr.readthedocs.io/en/stable/user-guide/arrays/#creating-an-array) N-dimensional arrays with any NumPy `dtype`.
+- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/user-guide/performance/#chunk-optimizations) along any dimension.
+- [**Compress**](https://zarr.readthedocs.io/en/stable/user-guide/arrays/#compressors) and/or filter chunks using any NumCodecs codec.
+- [**Store arrays**](https://zarr.readthedocs.io/en/stable/user-guide/storage/) in memory, on disk, inside a zip file, on S3, etc...
+- [**Read**](https://zarr.readthedocs.io/en/stable/user-guide/arrays/#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/user-guide/performance/#parallel-computing-and-synchronization) from multiple threads or processes.
+- [**Write**](https://zarr.readthedocs.io/en/stable/user-guide/arrays/#reading-and-writing-data) to an array concurrently from multiple threads or processes.
+- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/quick-start/#hierarchical-groups).
 
 ## Where to get it
 
@@ -41,4 +41,4 @@ or via `conda`:
 conda install -c conda-forge zarr
 ```
 
-For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation).
+For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/#installation).

docs/contributing.md

@@ -419,4 +419,4 @@ performance benchmarks as part of our test suite. The benchmarks are found in `t
 By default pytest is configured to run these benchmarks as plain tests (i.e., no benchmarking). To run
 a benchmark with timing measurements, use the `--benchmark-enable` when invoking `pytest`.
 
-The benchmarks are run as part of the continuous integration suite through [codspeed](https://codspeed.io/zarr-developers/zarr-python).
+The benchmarks are run as part of the continuous integration suite through [codspeed](https://app.codspeed.io/zarr-developers/zarr-python).

docs/quick-start.md

@@ -164,8 +164,8 @@ print(z[:])
 ```
 
 Zarr also integrates seamlessly with cloud object storage such as Amazon S3 and Google
-Cloud Storage using external libraries like [s3fs](https://s3fs.readthedocs.io) or
-[gcsfs](https://gcsfs.readthedocs.io). Remote storage support requires the `remote`
+Cloud Storage using external libraries like [s3fs](https://s3fs.readthedocs.io/en/latest/) or
+[gcsfs](https://gcsfs.readthedocs.io/en/latest/). Remote storage support requires the `remote`
 optional dependencies (`pip install "zarr[remote]"`) as well as a filesystem library
 for your storage service, such as `s3fs` for S3: