chore(deps): bump the dependencies group with 2 updates

[dependabot]

Bumps the dependencies group with 2 updates: numpy and pandas.

Updates numpy from 2.2.6 to 2.4.4

Release notes

Sourced from numpy's releases.

2.4.4 (Mar 29, 2026)

NumPy 2.4.4 Release Notes

The NumPy 2.4.4 is a patch release that fixes bugs discovered after the 2.4.3 release. It should finally close issue #30816, the OpenBLAS threading problem on ARM.

This release supports Python versions 3.11-3.14

Contributors

A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Charles Harris
• Daniel Haag +
• Denis Prokopenko +
• Harshith J +
• Koki Watanabe
• Marten van Kerkwijk
• Matti Picus
• Nathan Goldbaum

Pull requests merged

A total of 7 pull requests were merged for this release.

• #30978: MAINT: Prepare 2.4.x for further development
• #31049: BUG: Add test to reproduce problem described in #30816 (#30818)
• #31052: BUG: fix FNV-1a 64-bit selection by using NPY_SIZEOF_UINTP (#31035)
• #31053: BUG: avoid warning on ufunc with where=True and no output
• #31058: DOC: document caveats of ndarray.resize on 3.14 and newer
• #31079: TST: fix POWER VSX feature mapping (#30801)
• #31084: MAINT: numpy.i: Replace deprecated sprintf with snprintf...

2.4.3 (Mar 9, 2026)

NumPy 2.4.3 Release Notes

The NumPy 2.4.3 is a patch release that fixes bugs discovered after the 2.4.2 release. The most user visible fix may be a threading fix for OpenBLAS on ARM, closing issue #30816.

This release supports Python versions 3.11-3.14

Contributors

A total of 11 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Antareep Sarkar +

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

• Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits

• be93fe2 Merge pull request #31090 from charris/prepare-2.4.4
• f5245dc REL: Prepare for the NumPy 2.4.4 release
• 02e838b Merge pull request #31084 from charris/backport-31056
• fa74b2d MAINT: numpy.i: Replace deprecated sprintf with snprintf (#31056)
• 533a6db Merge pull request #31079 from charris/backport-20801
• 9e496cb TST: fix POWER VSX feature mapping (#30801)
• 8052c4b Merge pull request #31058 from charris/backport-31021
• 7f13b5a MAINT: Skip test on PyPy.
• 4c5fdd6 MAINT: Remove unused import of tracemalloc.
• a3ca5ed Update numpy/_core/src/multiarray/shape.c
• Additional commits viewable in compare view

Updates pandas from 2.3.3 to 3.0.2

Release notes

Sourced from pandas's releases.

pandas 3.0.2

We are pleased to announce the release of pandas 3.0.2. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.0.1

We are pleased to announce the release of pandas 3.0.1. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.0.0

We are pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes various new features, bug fixes, and performance improvements, as well as possible breaking changes.

The pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.

Highlights include:

• Dedicated string data type by default
• Consistent copy/view behaviour with Copy-on-Write (CoW) (a.k.a. getting rid of the SettingWithCopyWarning)
• New default resolution for datetime-like data
• Initial support for the new pd.col syntax

... (truncated)

Commits

• ab90747 RLS: 3.0.2 (#64934)
• 6f27013 Backport PR #64931 on branch 3.0.x (DOC/BLD: temporary disable upload of docs...
• 48ddc60 Backport PR #64664 on branch 3.0.x (BUG: DataFrame.sum() crashes on empty Dat...
• 8774488 [backport 3.0.x] PERF: fix slow python loop in validation for ArrowStringArra...
• 33af6cc Backport PR #64133 on branch 3.0.x (BUG: str.find returns byte offset instead...
• 4ef49d8 [backport 3.0.x] BUG: fix convert_dtypes dropping values from sliced mixed-dt...
• 0668f34 [backport 3.0.x] BUG: Fix HDFStore.put with StringDtype columns and compressi...
• 23f2f44 [backport 3.0.x] BUG: Suppress unnecessary RuntimeWarning in to_datetime with...
• 83ba804 Backport PR #64886: BUG: Compute Variance of Complex Numbers Correctly (#64892)
• bb5ca1a Backport PR #64386 on branch 3.0.x (BUG: fix sort_index AssertionError with R...
• Additional commits viewable in compare view

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