Mailman 3 January 2026 - Python-announce-list

python-oracledb 3.4.2
by Anthony Tuininga Jan. 28, 2026

Jan. 28, 2026

What is python-oracledb? python-oracledb is a Python extension module that enables access to Oracle Database for Python and conforms to the Python database API 2.0 specifications with a number of enhancements. This module replaces cx_Oracle. Where do I get it? https://pypi.org/project/oracledb/3.4.2/ The easiest method to install/upgrade python-oracledb is via pip as in python -m pip install oracledb --upgrade What's new? This release addresses a number of issues. See the full release notes for all of the details: https://python-oracledb.readthedocs.io/en/latest/release_notes.html#oracled… Please provide any feedback via GitHub issues: https://github.com/oracle/python-oracledb/issues or discussions: https://github.com/oracle/python-oracledb/discussions

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PyCA cryptography 46.0.4 released
by Paul Kehrer Jan. 28, 2026

Jan. 28, 2026

PyCA cryptography 46.0.4 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, asymmetric algorithms, message digests, X.509, key derivation functions, and much more. We support Python 3.8+, and PyPy3 3 .11. Changelog (https://cryptography.io/en/latest/changelog/#v46-0-4) * Dropped support for win_arm64 wheels. * Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.5.5. -Paul Kehrer (reaperhulk)

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fp-convert v0.3.2 released
by K Raghu Prasad Jan. 18, 2026

Jan. 18, 2026

fp-convert is a tool to convert Freeplane based mindmaps to print-quality PDF files. Its details can be found at https://github.com/kraghuprasad/fp-convert and its user-guide is available at https://github.com/kraghuprasad/fp-convert/blob/main/docs/User_Guide.md It can be installed on your desktop or server by executing the following on the console: pip install fp-convert If you find any issues in it, please report it at https://github.com/kraghuprasad/fp-convert/issues

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ANN: kubesdk - Fully typed, async-first Python client for Kubernetes
by Beslan Birzhev Jan. 15, 2026

Jan. 15, 2026

The Puzl Cloud team is pleased to announce the open-source release of kubesdk. kubesdk is a modern, async-first Kubernetes client for Python designed to improve ergonomics for day-to-day production automation and multi-cluster workflows. It addresses key limitations of existing solutions by providing: * Async-first design: Built with aiohttp for high-concurrency workloads. * Full Typing: Typed client methods and models for all built-in Kubernetes resources. * Model Generator: A tool to instantly generate Python dataclasses from your own CRDs (Custom Resource Definitions). * Unified Surface: Consistent interface for both core and custom resources. * Multi-cluster support: Built directly into the client for scalable operations. We developed this SDK to solve our own internal needs for reliable Kubernetes automation and are now sharing it with the community. Links: * GitHub: https://github.com/puzl-cloud/kubesdk We welcome feedback and contributions via GitHub issues. -- Puzl Cloud Team

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TatSu v5.16.0
by Juancarlo Añez Jan. 13, 2026

Jan. 13, 2026

竜 TatSu is a tool that takes grammars in a variation of EBNF as input, and outputs memoizing (Packrat) PEG parsers in Python. - Fixed backwards compatibility caused by moving ParserConfig away from infos - ParserConfig is now documented - Developer documentation was added to the docs - Build an distribution is now controlled by hatch over uv - tokenizer.Tokenizer is now a Protocol - Added type annotations throughout all modules - Abandoned testing with Python 3.10 and 3.11, using features from 3.12 - Renamed ./test to ./tests - Several refactorings, optimizations, and deprecations https://pypi.org/project/TatSu/ https://github.com/neogeny/TatSu https://tatsu.readthedocs.io/en/stable/ -- Juancarlo Añez mailto:apalala@gmail.com

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NumPy 2.4.1 released
by Charles R Harris Jan. 10, 2026

Jan. 10, 2026

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.4.1. NumPy 2.4.1 is a patch release that fixes bugs discovered after the 2.4.0 release. In particular, the typo `SeedlessSequence` is preserved to enable wheels using the random Cython API and built against NumPy < 2.4.0 to run without errors. This release supports Python versions 3.11-3.14. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.4.1>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.4.1>. *Contributors* A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alexander Shadchin - Bill Tompkins + - Charles Harris - Joren Hammudoglu - Marten van Kerkwijk - Nathan Goldbaum - Raghuveer Devulapalli - Ralf Gommers - Sebastian Berg *Pull requests merged* A total of 15 pull requests were merged for this release. - #30490: MAINT: Prepare 2.4.x for further development - #30503: DOC: ``numpy.select`` : fix ``default`` parameter docstring... - #30504: REV: Revert part of #30164 (#30500) - #30506: TYP: ``numpy.select`` : allow passing array-like ``default``... - #30507: MNT: use if constexpr for compile-time branch selection - #30513: BUG: Fix leak in flat assignment iterator - #30516: BUG: fix heap overflow in fixed-width string multiply (#30511) - #30523: BUG: Ensure summed weights returned by np.average always are... - #30527: TYP: Fix return type of histogram2d - #30594: MAINT: avoid passing ints to random functions that take double... - #30595: BLD: Avoiding conflict with pygit2 for static build - #30596: MAINT: Fix msvccompiler missing error on FreeBSD - #30608: BLD: update vendored Meson to 1.9.2 - #30620: ENH: use more fine-grained critical sections in array coercion... - #30623: BUG: Undo result type change of quantile/percentile but keep... Cheers, Charles Harris

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Guppy 3/Heapy 3.1.6
by YiFei Zhu Jan. 6, 2026

Jan. 6, 2026

I am happy to announce Guppy 3 3.1.6 Guppy 3 is a library and programming environment for Python, currently providing in particular the Heapy subsystem, which supports object and heap memory sizing, profiling and debugging. It also includes a prototypical specification language, the Guppy Specification Language (GSL), which can be used to formally specify aspects of Python programs and generate tests and documentation from a common source. Guppy 3 is a fork of Guppy-PE, created by Sverker Nilsson for Python 2. This release adds support for Python 3.14, and support for Python 3.9 was dropped. Support for free-threaded mode is planned for a future release. This release also fixes a few bugs, including: o Fix a segfault in hv_cli_inrel_classify caused by a GC race o Fix relate of frame objects showing some attributes as exposed to Python when they are not License: MIT The project homepage is on GitHub: https://github.com/zhuyifei1999/guppy3 Enjoy and Happy New Year, YiFei Zhu

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ANN: Modu 0.1.0 - Modular arithmetic in Python
by pie.denis＠skynet.be Jan. 3, 2026

Jan. 3, 2026

Hi, I'm glad to announce the release of Modu v0.1.0, a new Python module dedicated to modular arithmetic. Through operator overloading, Modu provides a user experience similar to a "domain-specific language" (DSL), with sets / arithmetic operations using modular arithmetic. Modu is best used as an interactive calculator in Python terminal sessions (REPL) or in Jupyter Notebooks with instantaneous rendering as LaTeX formulae. The prime target domain is research and education in number theory. Modu is an open-source module distributed under the MIT license. - PyPI: https://pypi.org/project/modu/ - GitHub: https://github.com/piedenis/Modu If you want to give it a try, you may follow the link below for the online "Modutorial" (Jupyter Notebook): https://mybinder.org/v2/gh/piedenis/Modu/HEAD?urlpath=%2Fdoc%2Ftree%2Fsrc%2F modutorial.ipynb The present version v0.1.0 is BETA. Any feedback or enhancement ideas are welcome! Pierre Denis

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