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Whats-new: 2023.10.0 (pydata#8334)
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* Whats-new: 2023.10.0

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dcherian authored Oct 19, 2023
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np.random.seed(123456)
.. _whats-new.2023.09.1:
.. _whats-new.2023.10.0:

v2023.09.1 (unreleased)
-----------------------
v2023.10.0 (19 Oct, 2023)
-------------------------

This release brings performance enhancements to reading Zarr datasets, the ability to use `numbagg <https://github.com/numbagg/numbagg>`_ for reductions,
an expansion in API for ``rolling_exp``, fixes two regressions with datetime decoding,
and many other bugfixes and improvements. Groupby reductions will also use ``numbagg`` if ``flox>=0.8.1`` and ``numbagg`` are both installed.

Thanks to our 13 contributors:
Anderson Banihirwe, Bart Schilperoort, Deepak Cherian, Illviljan, Kai Mühlbauer, Mathias Hauser, Maximilian Roos, Michael Niklas, Pieter Eendebak, Simon Høxbro Hansen, Spencer Clark, Tom White, olimcc

New Features
~~~~~~~~~~~~

- Support high-performance reductions with `numbagg <https://github.com/numbagg/numbagg>`_.
This is enabled by default if ``numbagg`` is installed.
By `Deepak Cherian <https://github.com/dcherian>`_. (:pull:`8316`)
- Add ``corr``, ``cov``, ``std`` & ``var`` to ``.rolling_exp``.
By `Maximilian Roos <https://github.com/max-sixty>`_. (:pull:`8307`)
- :py:meth:`DataArray.where` & :py:meth:`Dataset.where` accept a callable for
the ``other`` parameter, passing the object as the only argument. Previously,
this was only valid for the ``cond`` parameter. (:issue:`8255`)
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