Mailman 3 March 2026 - Python-announce-list

Pygments 2.19.1 released
by Matthäus G. Chajdas March 29, 2026

March 29, 2026

I'm happy to announce the release of Pygments 2.20.0. Pygments is a generic syntax highlighter written in Python. Pygments 2.20.0 is a major release addressing many bugs and also adding a new lexer. See <https://pygments.org/docs/changelog/> for details. Report bugs and feature requests in the issue tracker: <https://github.com/pygments/pygments/issues>. Thanks go to all the contributors of these lexers, and to all those who reported bugs and waited patiently for this release. Download it from <https://pypi.org/project/Pygments/>, or look at the demonstration at <https://pygments.org/demo/>. Enjoy, Matthäus

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NumPy 2.4.4 Released
by Charles R Harris March 29, 2026

March 29, 2026

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.4.4. 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. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.4.4>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.4.4>. *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`... Cheers, Charles Harris

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pymemtrace 0.3.1 is released
by Paul Ross March 23, 2026

March 23, 2026

I am proud to announce version 0.3.1 of pymemtrace, a collection of tools for tracking the memory usage of Python objects and processes. Two new tools have been added: - process_tree.py is capable of logging a process *and* all of its children. This reports other resource usage, such as CPU%, as well as memory. Examples: https://pymemtrace.readthedocs.io/en/latest/examples/process_tree.html - The cPyMemTrace module now has *Reference Tracing <https://docs.python.org/3/c-api/profiling.html#reference-tracing>* (Python 3.13+) that can record every Python object allocation and de-allocation. Examples: https://pymemtrace.readthedocs.io/en/latest/examples/c_py_mem_trace.html#re… A complete description of all the tools, with worked examples, is in the PyPi description: https://pypi.org/project/pymemtrace/#description Other changes: - Add a decorator for process.py. - cPyMemTrace: - Add decorators for Python functions for Profile, Trace and ReferenceTracing. - Add an option to log to a specific file. - Add an API write_message_to_log() to inject text into the log file. - Better structure of the log file format. - Fix stacking pop() issue with trace/profile functions with a linked list of tTraceFileWrapperLinkedList. - Add support for Python 3.14, remove support for Python 3.7 - Supported Python versions are: 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, 3.14 - The extensive documentation, with worked examples, now runs to 120+ pages. - Development Status :: 5 - Production/Stable PyPi: https://pypi.org/project/pymemtrace Documentation: https://pymemtrace.readthedocs.io/en/latest/index.html Project: https://github.com/paulross/pymemtrace Paul Ross

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NumPy 2.4.3 Release
by Charles R Harris March 9, 2026

March 9, 2026

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.4.3. 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. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.4.3>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.4.3>. *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 + - Charles Harris - Joren Hammudoglu - Matthieu Darbois - Matti Picus - Nathan Goldbaum - Peter Hawkins - Pieter Eendebak - Sebastian Berg - Warren Weckesser - stratakis + *Pull requests merged* A total of 14 pull requests were merged for this release. - #30759: MAINT: Prepare 2.4.x for further development - #30827: BUG: Fix some leaks found via LeakSanitizer (#30756) - #30841: MAINT: Synchronize 2.4.x submodules with main - #30849: TYP: matlib: missing extended precision imports - #30850: BUG: Fix weak hash function in np.isin(). (#30840) - #30921: BUG: fix infinite recursion in np.ma.flatten_structured_array... - #30922: BUG: Fix buffer overrun in CPU baseline validation (#30877) - #30923: BUG: Fix busdaycalendar's handling of a bool array weekmask... - #30924: BUG: Fix reference leaks and NULL pointer dereferences (#30908) - #30925: MAINT: fix two minor issues noticed when touching the C API setup - #30955: ENH: Test .kind not .char in np.testing.assert_equal (#30879) - #30957: BUG: fix type issues in uses if PyDataType macros - #30958: MAINT: Don't use vulture 2.15, it has false positives - #30973: MAINT: update openblas (#30961) Cheers, Charles Harris

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Vulture 2.15
by Jendrik Seipp March 4, 2026

March 4, 2026

Vulture - Find dead code ======================== Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like Vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused. Nonetheless, Vulture can be a helpful tool for higher code quality. Download ======== https://github.com/jendrikseipp/vulture http://pypi.python.org/pypi/vulture Features ======== * fast: uses static code analysis * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * sorts unused classes and functions by size with `--sort-by-size` News ==== * Handle `while True` loops without `break` statements (kreathon). * Add whitelist for `ssl.SSLContext` (tunnelsociety, #392). * Add more ruff rules (even-even). * Drop support for Python 3.8 (Jendrik Seipp, #398). * Add support for Python 3.14 (even-even). Cheers, Jendrik

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