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DOC: Fix broken links (404 errors) (#11161)
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doc/contribute/contributing.rst

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- Test the code using `Pytest <https://doc.pytest.org/en/latest/>`_. Running all tests (type ``pytest`` in the root directory) takes a while, so feel free to only run the tests you think are needed based on your PR (example: ``pytest xarray/tests/test_dataarray.py``). CI will catch any failing tests.
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- By default, the upstream dev CI is disabled on pull request and push events. You can override this behavior per commit by adding a ``[test-upstream]`` tag to the first line of the commit message. For documentation-only commits, you can skip the CI per commit by adding a ``[skip-ci]`` tag to the first line of the commit message.
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- **Properly format your code** and verify that it passes the formatting guidelines set by `ruff <https://github.com/astral-sh/ruff>`_. See `"Code formatting" <https://docs.xarray.dev/en/stablcontributing.html#code-formatting>`_. You can use `pre-commit <https://pre-commit.com/>`_ to run these automatically on each commit.
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- **Properly format your code** and verify that it passes the formatting guidelines set by `ruff <https://github.com/astral-sh/ruff>`_. See `"Code formatting" <https://docs.xarray.dev/en/stable/contributing.html#code-formatting>`_. You can use `pre-commit <https://pre-commit.com/>`_ to run these automatically on each commit.
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- Run ``pre-commit run --all-files`` in the root directory. This may modify some files. Confirm and commit any formatting changes.
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doc/gallery.yml

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thumbnail: _static/logos/Xarray_Logo_RGB_Final.svg
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- title: Project Pythia Foundations Book
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path: https://foundations.projectpythia.org/core/xarray.html
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path: https://foundations.projectpythia.org/core/xarray
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thumbnail: https://raw.githubusercontent.com/ProjectPythia/projectpythia.github.io/main/portal/_static/images/logos/pythia_logo-blue-btext-twocolor.svg

doc/get-help/faq.rst

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we `signpost changes <https://docs.xarray.dev/en/stable/contributing.html#backwards-compatibility>`_ with ``FutureWarnings`` for many releases in advance.
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(An exception is bugs - whose behaviour we try to fix as soon as we notice them.)
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Our `test-driven development practices <https://docs.xarray.dev/en/stable/contributing.html#test-driven-development-code-writing>`_ helps to ensure any accidental regressions are caught.
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This philosophy applies to everything in the `public API <https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#what-parts-of-xarray-are-considered-public-api>`_.
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This philosophy applies to everything in the public API.
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.. _public-api:
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doc/getting-started-guide/tutorials-and-videos.rst

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.. _Xarray's Tutorials: https://xarray-contrib.github.io/xarray-tutorial/
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.. _Journal of Open Research Software paper: https://doi.org/10.5334/jors.148
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.. _UW eScience Institute's Geohackweek : https://geohackweek.github.io/nDarrays/
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.. _tutorial: https://github.com/Unidata/unidata-users-workshop/blob/master/notebooks/xray-tutorial.ipynb
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.. _with answers: https://github.com/Unidata/unidata-users-workshop/blob/master/notebooks/xray-tutorial-with-answers.ipynb
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.. _tutorial: https://github.com/Unidata/unidata-users-workshop/blob/2015/notebooks/xray-tutorial.ipynb
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.. _with answers: https://github.com/Unidata/unidata-users-workshop/blob/2015/notebooks/xray-tutorial-with-answers.ipynb
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.. _Nicolas Fauchereau's 2015 tutorial: https://nbviewer.iPython.org/github/nicolasfauchereau/metocean/blob/master/notebooks/xray.ipynb

doc/user-guide/data-structures.rst

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of multiple `groups`_ within a netCDF file or `Zarr Store`_.
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.. _groups: https://www.unidata.ucar.edu/software/netcdf/workshops/2011/groups-types/GroupsIntro.html
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.. _Zarr Store: https://zarr.readthedocs.io/en/stable/tutorial.html#groups
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.. _Zarr Store: https://zarr.readthedocs.io/en/stable/user-guide/groups/#groups
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Each :py:class:`~xarray.DataTree` object (or "node") contains the same data that a single
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:py:class:`xarray.Dataset` would (i.e. :py:class:`~xarray.DataArray` objects stored under hashable

doc/user-guide/duckarrays.rst

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* `Sparse <https://sparse.pydata.org/en/stable/>`_ - for performant arrays with many zero elements,
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* `Pint <https://pint.readthedocs.io/en/latest/>`_ - for tracking the physical units of your data (see `pint-xarray <https://pint-xarray.readthedocs.io>`_),
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* `Dask <https://docs.dask.org/en/stable/>`_ - parallel computing on larger-than-memory arrays (see :ref:`using dask with xarray <dask>`),
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* `Cubed <https://github.com/tomwhite/cubed/tree/main/cubed>`_ - another parallel computing framework that emphasises reliability (see `cubed-xarray <https://github.com/cubed-xarray>`_).
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* `Cubed <https://github.com/cubed-dev/cubed/tree/main/cubed>`_ - another parallel computing framework that emphasises reliability (see `cubed-xarray <https://github.com/cubed-dev/cubed-xarray>`_).
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.. warning::
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doc/user-guide/io.rst

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DataArrays inside of Datasets. If your HDF5 file has additional levels of hierarchy you
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can only access one group and a time and will need to specify group names.
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.. _HDF5: https://hdfgroup.github.io/hdf5/index.html
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.. _HDF5: https://www.hdfgroup.org/solutions/hdf5/
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.. _h5py: https://www.h5py.org/
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doc/user-guide/terminology.rst

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allows for grouping related data together.
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Analogous to a single
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`netCDF group <https://www.unidata.ucar.edu/software/netcdf/workshops/2011/groups-types/GroupsIntro.html>`_
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or `Zarr group <https://zarr.readthedocs.io/en/stable/tutorial.html#groups>`_.
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or `Zarr group <https://zarr.readthedocs.io/en/stable/user-guide/groups/#groups>`_.

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