Bump the uv-minor-patch group across 1 directory with 14 updates

[dependabot]

Bumps the uv-minor-patch group with 14 updates in the / directory:

Package	From	To
jax	0.10.0	0.11.1
numpy	2.4.6	2.5.3
polars	1.40.1	1.44.2
arviz	1.1.0	1.3.0
beautifulsoup4	4.14.3	4.15.0
ipykernel	7.2.0	7.3.0
mkdocstrings	1.0.4	1.0.6
mkdocstrings-python	2.0.3	2.0.8
pandas	3.0.3	3.0.6
plotnine	0.15.4	0.15.8
pre-commit	4.6.0	4.6.2
pytest	9.0.3	9.1.1
ruff	0.15.16	0.16.7
scipy	1.17.1	1.18.1

Updates jax from 0.10.0 to 0.11.1

Release notes

Sourced from jax's releases.

JAX v0.11.1

• New features

  • Added an error check for trying to deserialize JAX exports that are older than the backwards compatibility window. Without this check the deserialization of expired artifacts may succeed and then result in obscure downstream errors. Added a configuration flag --jax_export_deserialize_expired_versions to temporarily bypass the error check. See https://docs.jax.dev/en/latest/export/export.html#compatibility-guarantees.
  • Added jax.numpy.top_k, which implements numpy.top_k, added in in NumPy v2.6.0 (#39729).

• Breaking changes

  • The exec_time_optimization_effort and memory_fitting_effort flags have been removed in favor of the EffortLevel enum.
  • JAX does not support anymore deserialization of Exported modules from before January 15th, 2026 because they are beyond the backwards compatibility window. On that date we added support to serialize shardings as NamedSharding, and now that is the only sharding serialization that is supported.
  • jnp.take_along_axis now always defaults wrap_negative_indices to True. It used to default to False for mode=promise_in_bounds and True otherwise. (This also means None is no longer a valid value for wrap_negative_indices.)

• Deprecations

  • The fields in_shardings_hlo and out_shardings_hlo of jax.export.Exported have been deprecated for a while. Now accessing them raises a warning. Use in_shardings_jax and out_shardings_jax instead.

• Changes

  • The cuDNN fused attention backward pass (used by jax.nn.dot_product_attention with implementation='cudnn') no longer computes a bias gradient when the only attention bias comes from a boolean mask, whose gradient no caller can request. Bias gradients for an explicit bias or a non-boolean mask are unchanged (#34685).
  • jax.numpy.meshgrid, jax.numpy.ogrid, and jax.numpy.broadcast_arrays now return tuples rather than lists in order to align with NumPy>2.0 and the Array API specification. (#39783, #39789, #39802)
  • When jax.grad or jax.value_and_grad rejects a function with a non-scalar output, the error message now suggests reducing the output to a scalar (e.g. with output.sum()), using jax.jacobian, or reshaping size-1 outputs (#2303).
  • When indexing with non-static or traced slice indices, the error message now suggests using jax.lax.dynamic_slice, jax.lax.dynamic_update_slice, or jax.ds, and shows tracer provenance (#7222).
  • PyTree metadata equality comparison failures now report the specific registered pytree type that caused the error (#13027).

... (truncated)

Changelog

Sourced from jax's changelog.

JAX 0.11.1 (August 17, 2026)

• New features

  • Added an error check for trying to deserialize JAX exports that are older than the backwards compatibility window. Without this check the deserialization of expired artifacts may succeed and then result in obscure downstream errors. Added a configuration flag --jax_export_deserialize_expired_versions to temporarily bypass the error check. See https://docs.jax.dev/en/latest/export/export.html#compatibility-guarantees.
  • Added {func}jax.numpy.top_k, which implements {func}numpy.top_k, added in in NumPy v2.6.0 ({jax-issue}[#39729](https://github.com/jax-ml/jax/issues/39729)).

• Breaking changes

  • The exec_time_optimization_effort and memory_fitting_effort flags have been removed in favor of the EffortLevel enum.
  • JAX does not support anymore deserialization of Exported modules from before January 15th, 2026 because they are beyond the backwards compatibility window. On that date we added support to serialize shardings as NamedSharding, and now that is the only sharding serialization that is supported.
  • jnp.take_along_axis now always defaults wrap_negative_indices to True. It used to default to False for mode=promise_in_bounds and True otherwise. (This also means None is no longer a valid value for wrap_negative_indices.)

• Deprecations

  • The fields in_shardings_hlo and out_shardings_hlo of jax.export.Exported have been deprecated for a while. Now accessing them raises a warning. Use in_shardings_jax and out_shardings_jax instead.

• Changes

  • The cuDNN fused attention backward pass (used by {func}jax.nn.dot_product_attention with implementation='cudnn') no longer computes a bias gradient when the only attention bias comes from a boolean mask, whose gradient no caller can request. Bias gradients for an explicit bias or a non-boolean mask are unchanged ({jax-issue}[#34685](https://github.com/jax-ml/jax/issues/34685)).
  • {func}jax.numpy.meshgrid, {obj}jax.numpy.ogrid, and {func}jax.numpy.broadcast_arrays now return tuples rather than lists in order to align with NumPy>2.0 and the Array API specification. ({jax-issue}[#39783](https://github.com/jax-ml/jax/issues/39783), {jax-issue}[#39789](https://github.com/jax-ml/jax/issues/39789), {jax-issue}[#39802](https://github.com/jax-ml/jax/issues/39802))
  • When {func}jax.grad or {func}jax.value_and_grad rejects a function with a non-scalar output, the error message now suggests reducing the output to a scalar (e.g. with output.sum()), using {func}jax.jacobian, or reshaping size-1 outputs ({jax-issue}[#2303](https://github.com/jax-ml/jax/issues/2303)).
  • When indexing with non-static or traced slice indices, the error message now suggests using {func}jax.lax.dynamic_slice, {func}jax.lax.dynamic_update_slice, or jax.ds, and shows tracer provenance ({jax-issue}[#7222](https://github.com/jax-ml/jax/issues/7222)).
  • PyTree metadata equality comparison failures now report the specific registered pytree type that caused the error ({jax-issue}[#13027](https://github.com/jax-ml/jax/issues/13027)).

... (truncated)

Commits

• 2d66622 Prepare for JAX release 0.11.1
• 3ba3d76 [XLA:GPU] Update lax test precision to account for numerics of new cuDNN fron...
• 366ff35 Update XLA dependency to use revision
• ee8d0a1 Rename BUILD to BUILD.bazel in JAX toolchains.
• e309df5 Merge pull request #40032 from hawkinsp:bazel
• 36cfce1 Merge pull request #38946 from aybchan:aybchan/update-thor-gpuinfo-test
• 3b1573a Update bazelversion to 7.7.1.
• 91eac72 Merge pull request #40031 from jax-ml:fixeditable
• 2dc5e1a Removed core_map_p and everything which depended on it
• 7be361e Merge pull request #39759 from jakevdp:util-implicit-typevar
• Additional commits viewable in compare view

Updates numpy from 2.4.6 to 2.5.3

Release notes

Sourced from numpy's releases.

v2.5.3 (Sep 6, 2026)

NumPy 2.5.3 Release Notes

The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2 release. Apart from the usual bug and maintenance work, there are a number of StringDType related fixes for problems discovered during the ongoing string work in the main branch.

This release supports Python versions 3.12-3.15

Changes

• Casting a fixed-width byte string array (np.bytes_) to StringDType now raises TypeError when the bytes are not valid UTF-8. Previously the invalid bytes were stored as-is and later caused undefined behavior in string operations.

  (gh-32296)

• MaskedArray._fill_value would become stale when ufuncs that change dtype left the result holding a fill_value typed for the old dtype. The mismatch was silent until something later called _check_fill_value, such as .view(), and then a TypeError would be raised. Now, when the copied fill_value is no longer valid for the new dtype, fall back to the default fill_value for that dtype instead of propagating the stale value. This may raise a ComplexWarning if the fill_value is complex and the new dtype is real.

  (gh-32423)

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Charles Harris
• Iason Krommydas
• James Davies +
• Joren Hammudoglu
• Maanas Arora
• Matti Picus
• Nathan Goldbaum
• Shikhar Goel +
• Yeonho Kim +

Pull requests merged

A total of 27 pull requests were merged for this release.

• #32235: MAINT: Prepare 2.5.x for further development

... (truncated)

Commits

• dd88c0c Merge pull request #32511 from charris/prepare-2.5.3
• edcac6a REL: Prepare for the NumPy 2.5.3 release
• fd4d908 Merge pull request #32509 from charris/backport-32496
• 65bb1da BUG: fix crash in ufunc.resolve_dtypes with a Python scalar type (#32496)
• 294956e Merge pull request #32506 from charris/backport-32503
• 26428d9 DOC: fix scipy docs links in intersphinx mapping (#32507)
• 5fab1cb DOC: use static scipy doc site for intershpinx (#32503)
• 7beed2f Merge pull request #32481 from ngoldbaum/stringdtype-backport
• 8972f70 Merge pull request #32478 from charris/backport-32466
• ab1b589 Merge pull request #32477 from charris/backport-32423
• Additional commits viewable in compare view

Updates polars from 1.40.1 to 1.44.2

Release notes

Sourced from polars's releases.

Python Polars 1.44.2

🛠️ Other improvements

• Backport 1.44.2 (#29216)

Thank you to all our contributors for making this release possible! @​EndPositive, @​dsprenkels, @​kdn36, @​lun3x, @​nameexhaustion and @​orlp

Python Polars 1.44.1

Thank you to all our contributors for making this release possible! @​Kevin-Patyk, @​henrytsanford, @​jonasdedden, @​orlp and @​ritchie46

Python Polars 1.44.0

⚠️ Deprecations

• Deprecate rechunk parameter for all read/scan functions (#28063)
• Deprecate Expr.rechunk() (#28692)
• Deprecate struct.rename_fields() with an incorrect number of fields (#28672)

🚀 Performance improvements

• Add private env var toggle for HTTP rate limit (#28882)
• Relax default CloudRetryConfig for rate limit stability (#28885)
• Elide generic cross join on subquery decorrelation in equality predicates (#28876)
• cache CTE's in SQL layer (#28864)
• Allow CSPE if manual caches are set (#28859)
• Lower unqualified join predicates to inner joins in SQL (#28854)
• Rechunk mask for DataFrame filter (#28762)
• Improve performance of when/then/otherwise by masking out unevaluated elements (#28498)
• Drop unused projections in filter on streaming engine (#28713)
• Retain Parquet Partial metadata on filter (#28737)

✨ Enhancements

• Support integer fixed-array dot products (#28829)
• SQL correlated in (#28927)
• Support more join_types in join_where (#28880)
• Support Iceberg schema evolution (#28794)
• SQL conformance (#28494)
• Introduce RemoteEngine and a common base class for all engines (#28800)
• Support Iceberg table with V3 deletion vectors in native scan_iceberg (#28772)
• Support Iceberg snapshot properties (#28793)
• Expose sinked_paths_callback on sink_parquet as unstable parameter (#28814)
• Add infer_schema_files to CSV inference hint (#28809)
• Add native fixed-array dot (#28504)
• Export query metrics to polars_cloud (#28757)
• Support Iceberg object storage paths (#28634)
• More CSEE simplification (#28731)

... (truncated)

Commits

• 1bd8ec1 Python Polars 1.44.2
• ccc3842 refactor(rust): Reduce code monomorphization in eager joins (#29087)
• 22f274b refactor(rust): Reduce serde monomorphization (#29088)
• b069c83 feat(python): Add organization to Config.enable_monitoring (#29221)
• d5a00ec ci: Skip tests that are currently failing on windows (#28962)
• 22dc741 test(python): Update test for latest pyiceberg (#29090)
• d1a325b fix: Include the library path in the plugin dlopen error message (#29213)
• 461fe0e feat(python): Add a workspace argument to Config.enable_monitoring (#29196)
• 0ced41b fix: Wrap IoError in PathIoError such that callers can extract untruncated pa...
• 3b4075b refactor: Bump object_store for new DnsResolver trait (#29145)
• Additional commits viewable in compare view

Updates arviz from 1.1.0 to 1.3.0

Release notes

Sourced from arviz's releases.

v1.3.0

What's Changed

• Update code of conduct by @​OriolAbril in arviz-devs/arviz#2594
• Add ELLIS Finland as institutional sponsor by @​aloctavodia in arviz-devs/arviz#2592
• Update deprecated git protocol to https in README by @​b25cs1051-KUSH in arviz-devs/arviz#2597
• Add hdi_prob to prob migration section in migration guide by @​sheikhayaan in arviz-devs/arviz#2601

New Contributors

• @​b25cs1051-KUSH made their first contribution in arviz-devs/arviz#2597
• @​sheikhayaan made their first contribution in arviz-devs/arviz#2601

Full Changelog: arviz-devs/arviz@v1.2.0...v1.3.0

v1.2.0

What's Changed

ArviZ 1.2 builds on the 1.0 release with incremental improvements and no major breaking changes.

The 1.0 ArviZ introduced many breaking changes: See the migration guide for an overview of improvements and guidance on things that will break and how to update them.

For an overview of new features and fixes since the 1.0 release, see the respective changelogs: arviz-base, arviz-stats and arviz-plots

The whole library has been refactored for extra flexibility and modularity as well as reducing the cost of maintaining and adding new features to the library. arviz is now a metapackage that exposes all the common functions that are implemented in independent packages of the ArviZverse. For a detailed list of changes you can check the changelog of each of these packages.

Take a look at the online book on Exploratory Analysis of Bayesian Models to see it in action and at the docs of the 3 ArviZ packages: arviz-base, arviz-stats and arviz-plots (note all the objects at the top level namespace of these 3 libraries are also exposed as arviz.xyz)

Full Changelog: arviz-devs/arviz@v1.1.0...v1.2.0

Commits

• bd8695f prepare release (#2603)
• 4712be4 Add hdi_prob to prob migration section in migration guide (#2601)
• 654510d Bump the actions group with 2 updates (#2600)
• 99d9fa5 update deprecated git protocol in dev install instructions (#2597)
• 3d7ef50 Bump actions/checkout from 6.0.2 to 7.0.0 in the actions group (#2596)
• 67c456b Add ELLIS Finland as institutional sponsor (#2592)
• e78ab69 update code of conduct (#2594)
• b130509 prepare 1.2 release (#2588)
• 9c17f8c Bump hynek/build-and-inspect-python-package in the actions group (#2587)
• d685905 Pin GitHub Actions by SHA (#2578)
• See full diff in compare view

Updates beautifulsoup4 from 4.14.3 to 4.15.0

Updates ipykernel from 7.2.0 to 7.3.0

Release notes

Sourced from ipykernel's releases.

v7.3.0

7.3.0

(Full Changelog)

New features added

• feat(displayhook): add register_hook/unregister_hook to ZMQShellDisplayHook #1522 (@​rgbkrk, @​minrk)
• Support ZMQ Curve for transport encryption #1515 (@​krassowski, @​Carreau, @​minrk)

Enhancements made

• Support new iPython system_raise_on_error flag in ZMQInteractiveShell #1496 (@​adityawasudeo, @​ianthomas23)
• pass cell_meta from do_execute to run_cell #1475 (@​erawn, @​P4X-ng, @​ianthomas23)

Bugs fixed

• Fix broken IPython Reference URL in help_links #1526 (@​goelakash, @​Carreau, @​JohanMabille, @​krassowski)
• Mark cell execution as failing when formatter errors out #1521 (@​krassowski, @​Carreau)
• Fix ENOTSOCK traceback when iopub socket closes during shutdown #1518 (@​Carreau, @​minrk)
• Bugfix: Ensure that we take a copy of the sys.modules before iterating over it #1514 (@​pelson, @​Carreau)

Maintenance and upkeep improvements

• build docs on latest python #1525 (@​Carreau)
• Fix recent debugpy failures #1524 (@​Carreau)
• Unpin Spinx now that typehints issue ought to be resolved #1517 (@​krassowski, @​Carreau)
• Fix downstream test: do not use editable install for ipyparallel #1516 (@​krassowski, @​Carreau)
• Linting fixes #1509 (@​ianthomas23)
• chore: update pre-commit hooks #1508 (@​Carreau)
• chore: update pre-commit hooks #1502 (@​ianthomas23)
• Removed pinning of virtualenv #1501 (@​JohanMabille)
• Fixed a flaky windows test #1500 (@​adityawasudeo, @​JohanMabille, @​ianthomas23)
• Switch from using nest-asyncio to nest-asyncio2 #1499 (@​ianthomas23)
• Temporary pin virtualenv < 21 #1498 (@​ianthomas23)
• Reintroduce changing base method to async #1497 (@​ianthomas23)
• chore: update pre-commit hooks #1495 (@​ianthomas23)

Other merged PRs

• Bump the actions group across 1 directory with 2 updates #1513 (@​Carreau, @​minrk)

Contributors to this release

The following people contributed discussions, new ideas, code and documentation contributions, and review. See our definition of contributors.

(GitHub contributors page for this release)

... (truncated)

Changelog

Sourced from ipykernel's changelog.

7.3.0

(Full Changelog)

New features added

• feat(displayhook): add register_hook/unregister_hook to ZMQShellDisplayHook #1522 (@​rgbkrk, @​minrk)
• Support ZMQ Curve for transport encryption #1515 (@​krassowski, @​Carreau, @​minrk)

Enhancements made

• Support new iPython system_raise_on_error flag in ZMQInteractiveShell #1496 (@​adityawasudeo, @​ianthomas23)
• pass cell_meta from do_execute to run_cell #1475 (@​erawn, @​P4X-ng, @​ianthomas23)

Bugs fixed

• Fix broken IPython Reference URL in help_links #1526 (@​goelakash, @​Carreau, @​JohanMabille, @​krassowski)
• Mark cell execution as failing when formatter errors out #1521 (@​krassowski, @​Carreau)
• Fix ENOTSOCK traceback when iopub socket closes during shutdown #1518 (@​Carreau, @​minrk)
• Bugfix: Ensure that we take a copy of the sys.modules before iterating over it #1514 (@​pelson, @​Carreau)

Maintenance and upkeep improvements

• build docs on latest python #1525 (@​Carreau)
• Fix recent debugpy failures #1524 (@​Carreau)
• Unpin Spinx now that typehints issue ought to be resolved #1517 (@​krassowski, @​Carreau)
• Fix downstream test: do not use editable install for ipyparallel #1516 (@​krassowski, @​Carreau)
• Linting fixes #1509 (@​ianthomas23)
• chore: update pre-commit hooks #1508 (@​Carreau)
• chore: update pre-commit hooks #1502 (@​ianthomas23)
• Removed pinning of virtualenv #1501 (@​JohanMabille)
• Fixed a flaky windows test #1500 (@​adityawasudeo, @​JohanMabille, @​ianthomas23)
• Switch from using nest-asyncio to nest-asyncio2 #1499 (@​ianthomas23)
• Temporary pin virtualenv < 21 #1498 (@​ianthomas23)
• Reintroduce changing base method to async #1497 (@​ianthomas23)
• chore: update pre-commit hooks #1495 (@​ianthomas23)

Other merged PRs

• Bump the actions group across 1 directory with 2 updates #1513 (@​Carreau, @​minrk)

Contributors to this release

The following people contributed discussions, new ideas, code and documentation contributions, and review. See our definition of contributors.

(GitHub contributors page for this release)

@​adityawasudeo (activity) | @​Carreau (activity) | @​erawn (activity) | @​goelakash (activity) | @​ianthomas23 (activity) | @​JohanMabille (activity) | @​krassowski (activity) | @​minrk (activity) | @​P4X-ng (activity) | @​pelson (activity) | @​rgbkrk (activity)

... (truncated)

Commits

• 5dbd5ce Publish 7.3.0
• 28e9cf8 chore: update pre-commit hooks (#1508)
• 4e4f82c Support ZMQ Curve for transport encryption (#1515)
• b64f597 Merge branch 'main' into curve-encryption
• 6fc8b58 Fix broken IPython Reference URL in help_links (#1526)
• cd6f460 Fix typing due to new jupyter_client version
• b0678ba Update pyproject.toml to depend on jupyter_client 8.9.0 rather than branch
• 2157ae7 Update tests to reflact rename to "auto"
• 336971e build docs on latest python (#1525)
• 7ecb521 Fix tests
• Additional commits viewable in compare view

Updates mkdocstrings from 1.0.4 to 1.0.6

Release notes

Sourced from mkdocstrings's releases.

1.0.6

1.0.6 - 2026-07-11

Compare with 1.0.5

Bug Fixes

• Stop propagating Zensical's zrelpath treeprocessor and its preview extension (4732798 by Timothée Mazzucotelli). Issue-zensical-818

1.0.5

1.0.5 - 2026-07-10

Compare with 1.0.4

Bug Fixes

• Parse inventory project and version (acc0da3 by Timothée Mazzucotelli).

Changelog

Sourced from mkdocstrings's changelog.

1.0.6 - 2026-07-11

Compare with 1.0.5

Bug Fixes

• Stop propagating Zensical's zrelpath treeprocessor and its preview extension (4732798 by Timothée Mazzucotelli). Issue-zensical-818

1.0.5 - 2026-07-10

Compare with 1.0.4

Bug Fixes

• Parse inventory project and version (acc0da3 by Timothée Mazzucotelli).

Commits

• 9a11dcb chore: Prepare release 1.0.6
• 4732798 fix: Stop propagating Zensical's zrelpath treeprocessor and its preview e...
• ecbaa9a Merge branch 'main' of github.com:mkdocstrings/mkdocstrings
• 64260f7 chore: Prepare release 1.0.5
• acc0da3 fix: Parse inventory project and version
• ec45a9b ci: Fix warnings
• ce2199c chore: Update sponsors section in README (#823)
• See full diff in compare view

Updates mkdocstrings-python from 2.0.3 to 2.0.8

Release notes

Sourced from mkdocstrings-python's releases.

2.0.8

2.0.8 - 2026-08-31

Compare with 2.0.7

Performance Improvements

• Make template existence test (for locale templates) faster (c0424f2 by Timothée Mazzucotelli).

2.0.7

2.0.7 - 2026-08-17

Compare with 2.0.6

Bug Fixes

• Don't render environment paths in source block labels (84ba73e by Chris Wilson). Issue-333, PR-338

2.0.6

2.0.6 - 2026-08-16

Compare with 2.0.5

Bug Fixes

• Don't pass unsupported options to Griffe parsers (4b38b6b by Timothée Mazzucotelli). Issue-337
• Increase stash key length from 1 to 2 (6ff2749 by Jonas Haag). PR-336

2.0.5

2.0.5 - 2026-06-19

Compare with 2.0.4

Bug Fixes

• Allow relative cross-references to work in summaries (abe2888 by Timothée Mazzucotelli). Issue-331
• Always display attribute values as they're written in the source (0334131 by Timothée Mazzucotelli). Issue-311

2.0.4

2.0.4 - 2026-06-05

Compare with 2.0.3

Bug Fixes

• Display Methods instead of Functions for category headings inside classes (7bf8b98 by Timothée Mazzucotelli). Issue-330

Changelog

Sourced from mkdocstrings-python's changelog.

2.0.8 - 2026-08-31

Compare with 2.0.7

Performance Improvements

• Make template existence test (for locale templates) faster (c0424f2 by Timothée Mazzucotelli).

2.0.7 - 2026-08-17

Compare with 2.0.6

Bug Fixes

• Don't render environment paths in source block labels (84ba73e by Chris Wilson). Issue-333, PR-338

2.0.6 - 2026-08-16

Compare with 2.0.5

Bug Fixes

• Don't pass unsupported options to Griffe parsers (4b38b6b by Timothée Mazzucotelli). Issue-337
• Increase stash key length from 1 to 2 (6ff2749 by Jonas Haag). PR-336

2.0.5 - 2026-06-19

Compare with 2.0.4

Bug Fixes

• Allow relative cross-references to work in summaries (abe2888 by Timothée Mazzucotelli). Issue-331
• Always display attribute values as they're written in the source (0334131 by Timothée Mazzucotelli). Issue-311

2.0.4 - 2026-06-05

Compare with 2.0.3

Bug Fixes

• Display Methods instead of Functions for category headings inside classes (7bf8b98 by Timothée Mazzucotelli). Issue-330

Commits

• 8125b0d chore: Prepare release 2.0.8
• 5054240 chore: Be a bit more minijinja compatible
• c0424f2 perf: Make template existence test (for locale templates) faster
• 624974a chore: Prepare release 2.0.7
• 84ba73e fix: Don't render environment paths in source block labels
• a025f49 chore: Prepare release 2.0.6
• 3c782f5 ci: Fix type-checking issues
• bb49b15 tests: Re-add griffe as dev-dep to run API checks
• 4b38b6b fix: Don't pass unsupported options to Griffe parsers
• 6ff2749 fix: Increase stash key length from 1 to 2
• Additional commits viewable in compare view

Updates pandas from 3.0.3 to 3.0.6

Release notes

Sourced from pandas's releases.

pandas 3.0.6

We are pleased to announce the release of pandas 3.0.6. 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. This is also the first release to support Python 3.15.

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 3.0.5

We are pleased to announce the release of pandas 3.0.5. 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 3.0.4

We are pleased to announce the release of pandas 3.0.4. 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

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Commits

• 2905718 RLS: 3.0.6
• 3188ced [backport 3.0.x] BUG: read_csv(sep=None) raised TypeError instead of falling...
• f097905 DOC: cleanup 3.0.6 whatsnew + mention Python 3.15 support (#68965) (#68969)
• 4f68223 [back...

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[github-actions]

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