Mailman 3 November 2025 - Python-announce-list

TatSu 5.13.0
by Juancarlo Añez Dec. 25, 2025

Dec. 25, 2025

竜 TatSu is a tool that takes grammars in a variation of EBNF as input, and outputs memoizing (Packrat) PEG parsers in Python. In this release: - remove comments_re and eol_comments_re from parser configuration (ParserConfig). Use comments and/or eol_comments instead (#351) - do not apply re.MULTILINE to compiled regexes. Users must add (?m) to the expressions for multiline (#351) - cache compiled regexes for performance - fix bug in positive joins (#342) - test with Python 3.13 and latest libraries -- Juancarlo Añez mailto:[email protected]

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Reminder: CFP for the Python Devroom @ FOSDEM 2026 ends Dec 1st
by Marc-Andre Lemburg Nov. 25, 2025

Nov. 25, 2025

Reminder: Call for Participation ends Dec 1st We are happy to announce that we will again be running a*Python devroom at FOSDEM 2026*. The next edition of FOSDEM will take place on January 31 and February 1 2026, with the Python devroom currently scheduled for Saturday, January 31, in the afternoon. If you haven’t heard about FOSDEM before or are looking for more information, you can visit the official website athttps://www.fosdem.org/. As usual, we are looking for multiple Pythonistas to help us shape the devroom schedule. We are now open to receiving your proposals ! With over 8500 participants, FOSDEM is the perfect place to share your story and meet fellow Python enthusiasts. Good luck to everyone applying. We’re looking forward to meeting you all at FOSDEM 2026 ! About FOSDEM * Official FOSDEM 2026 website <https://fosdem.org/2026/> * FOSDEM Code of Conduct <https://fosdem.org/2026/practical/conduct/> FOSDEM is a free and non-commercial event organized by the community for the community. The goal is to provide free and open source software developers and communities a place to meet to: * get in touch with other developers and projects; * be informed about the latest developments in the free software world; * be informed about the latest developments in the open source world; * attend interesting talks and presentations on various topics by project leaders and contributors; * promote the development and benefits of free software and open source solutions. Participation and attendance is totally free, though the FOSDEM organizers gratefully accept donations and sponsorship. Essential Information The Python devroom is currently scheduled to be held on January 31 in the afternoon. * *Submission deadline: December 1 2025* * There will be no extension of the deadline * Announcement of the schedule: December 15 2025 * The reference time is Brussels local lime (CET). * Talk format: 25 minutes presentation, including Q&A, if any. In-person only. * Live streaming of the talks will be available. Speaker Guidelines Please submit your talk proposals using theCFP submission page <https://pretalx.fosdem.org/fosdem-2026/cfp>. * FOSDEM is using a self-hosted Pretalx installation for managing talk submissions. You will need to create an account, if you don’t already have one. * In the Submission notes field, please also confirm that if your talk is accepted, you will be able to attend FOSDEM and deliver your presentation. We will not consider proposals from prospective speakers who are unsure whether they will be able to secure funds for travel and lodging to attend FOSDEM. Sadly, we are not able to offer travel funding for prospective speakers. * You will need to select the "*Python*" track * Keep in mind presentations must be related to Python. All presentations will be recorded and made available under the Creative Commons licenses CC-BY-SA or CC-BY. Captured footage will later be shared online using the FOSDEM archives. By submitting you also agree to these terms. List of Desirable Topics We'd like to make the devroom topics as diverse as possible, so we are looking to offer a mixture of presentations, short tutorials, demos, live coding, etc. This year, the python devroom will focus both on the language itself (new developments, tools and best practices) and its broader applications in education, data science and emerging fields. Examples of these include the following: * How to start as a Python developer * Code infrastructure & starting new projects, e.g. with community-backed tools like uv or pixi * Testing/CI best practices; apps or libraries * Performant Python code * Making use of 3.13t (free-threaded Python with no GIL lock) * Sustainable Python code * How to do/my cool thing/in Python * Python as a tool for education * How to contribute to the Python language * Python 3.13, 3.14, 3.15: What's new? * Python in data analysis & visualization tools * Python in AI & machine learning * Reproducibility and best-practices (e.g. lockfile usage) * The scientific Python ecosystem * How to write secure Python code * Python governance structure * Python success stories * Interoperability and cross-language bindings for Python * New Python projects Volunteers We will also call for volunteers to help us run the event and help us with the devroom operation. Please email the organizers, in case you are interested. Organizers You can reach out directly to the organizers, if you have a specific request or question: * Marc-André Lemburg: mal+fosdem [at] egenix.com * Rosie Wood: rwood [at] turing.ac.uk -- Marc-Andre Lemburg

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NumPy 2.3.5 released
by Charles R Harris Nov. 16, 2025

Nov. 16, 2025

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.3.4. The NumPy 2.3.4 release is a patch release split between a number of maintenance updates and bug fixes. This release supports Python 3.11-3.14. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.3.5>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.3.5>. *Contributors* A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aaron Kollasch + - Charles Harris - Joren Hammudoglu - Matti Picus - Nathan Goldbaum - Rafael Laboissière + - Sayed Awad - Sebastian Berg - Warren Weckesser - Yasir Ashfaq + *Pull requests merged* A total of 16 pull requests were merged for this release. - #29979: MAINT: Prepare 2.3.x for further development - #30026: SIMD, BLD: Backport FPMATH mode on x86-32 and filter successor... - #30029: MAINT: Backport write_release.py - #30041: TYP: Various typing updates - #30059: BUG: Fix np.strings.slice if stop=None or start and stop >= len... - #30063: BUG: Fix np.strings.slice if start > stop - #30076: BUG: avoid negating INT_MIN in PyArray_Round implementation (#30071) - #30090: BUG: Fix resize when it contains references (#29970) - #30129: BLD: update scipy-openblas, use -Dpkg_config_path (#30049) - #30130: BUG: Avoid compilation error of wrapper file generated with SWIG... - #30157: BLD: use scipy-openblas 0.3.30.7 (#30132) - #30158: DOC: Remove nonexistent ``order`` parameter docs of ``ma.asanyarray``... - #30185: BUG: Fix check of PyMem_Calloc return value. (#30176) - #30217: DOC: fix links for newly rebuilt numpy-tutorials site - #30218: BUG: Fix build on s390x with clang (#30214) - #30237: ENH: Make FPE blas check a runtime check for all apple arm systems Cheers, Charles Harris

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SCons 4.10.1 is now available with MSVC 2026 support
by Bill Deegan Nov. 16, 2025

Nov. 16, 2025

A new SCons release, 4.10.1, is now available on the SCons download page: https://scons.org/pages/download.html Here is a summary of the changes since PREVIOUS_RELEASE: NEW FUNCTIONALITY ----------------- - Add support for Visual Studio 2026. CHANGED/ENHANCED EXISTING FUNCTIONALITY --------------------------------------- - Switch test framework from using profile to cProfile. profile generates deprecation warnings starting with Python 3.15. FIXES ----- - Enable membership tests on instances of Literal (non-substituting string). - In the SequenceTypes tuple used for dynamic type checks, include the dict contents views, exclude the dictionary view itself as it is not an iterable sequence type. IMPROVEMENTS ------------ - Internal: where the find method on a string was used to determine if a substring is present, use the more readable "in" and "not in". DOCUMENTATION ------------- - Improve documentation of builder methods and builder objects. - Make links clickable in the SetOption and GetOption manpage entries. Thanks to the following contributors listed below for their contributions to this release. ========================================================================================== .. code-block:: text git shortlog --no-merges -ns 4.10.0..HEAD 12 Mats Wichmann 4 William Deegan 1 Thaddeus Crews

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pytest 9.0.1
by Bruno Oliveira Nov. 12, 2025

Nov. 12, 2025

pytest 9.0.1 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. The full changelog is available at https://docs.pytest.org/en/stable/changelog.html. Thanks to all of the contributors to this release: * Bruno Oliveira * Ran Benita * 🇺🇦 Sviatoslav Sydorenko (Святослав Сидоренко) Happy testing, The pytest Development Team

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python-oracledb 3.4.1
by Anthony Tuininga Nov. 12, 2025

Nov. 12, 2025

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/3.4.1/ 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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pytest 9.0.0 released
by Ran Benita Nov. 8, 2025

Nov. 8, 2025

pytest-9.0.0 ======================================= The pytest team is proud to announce the 9.0.0 release! This release contains new features, improvements, bug fixes, and breaking changes, so users are encouraged to take a look at the CHANGELOG carefully: https://docs.pytest.org/en/stable/changelog.html For complete documentation, please visit: https://docs.pytest.org/en/stable/ As usual, you can upgrade from PyPI via: pip install -U pytest Thanks to all of the contributors to this release: * AD * Aditi De * Ali Nazzal * Bruno Oliveira * Charles-Meldhine Madi Mnemoi * Clément Robert * CoretexShadow * Cornelius Roemer * Eero Vaher * Florian Bruhin * Harsha Sai * Hossein * Israël Hallé * Iwithyou2025 * James Addison * John Litborn * Jordan Macdonald * Kieran Ryan * Liam DeVoe * Marc Mueller * Marcos Boger * Michał Górny * Mulat Mekonen * NayeemJohn * Olivier Grisel * Omri Golan * Pierre Sassoulas * Praise Tompane * Ran Benita * Reilly Brogan * Samuel Gaist * SarahPythonista * Sorin Sbarnea * Stu-ops * Tanuj Rai * bengartner * dariomesic * jakkdl * karlicoss * popododo0720 * sazsu * slackline * vyuroshchin * zapl * 🇺🇦 Sviatoslav Sydorenko (Святослав Сидоренко) Happy testing, The pytest Development Team

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[RELEASE] pyspread 2.4.1
by Martin Manns Nov. 8, 2025

Nov. 8, 2025

pyspread 2.4.1 ============== This is a bugfix release. Bug fixes: * Deprecation issue in Python 3.13 with pkg_resources fixed by migrating to importlib. * Excel code evaluation is now described in the docs * Fix for installing packages not present on the system * Missing xls helper function added to the package About pyspread ============== Pyspread is a non-traditional spreadsheet that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet application. Pyspread is free software. It is released under the GPL v3. Project website: https://pyspread.gitlab.io/ Download page: https://pypi.org/project/pyspread/ Signature for tarball: https://gitlab.com/pyspread/downloads/-/raw/master/releases/pyspread-2.4.1.… Source code: https://gitlab.com/pyspread/pyspread Dependencies ============ Mandatory: * Python (≥ 3.6) * numpy (>=1.1) * PyQt6 (≥ 6.5, requires PyQt6.Svg), * setuptools (>=40.0) * markdown2 (>= 2.3) Recommended: * matplotlib (>=1.1.1) * pyenchant (>=1.1) * pip (>=18) * python-dateutil (>= 2.7.0) * py-moneyed (>=2.0) * rpy2 (>=3.4) * plotnine (>=0.8) * libvoikko (>=4.3) * nuspell (>=5.1) * hspell (>= 1.4) * ggplot2 (>=3.4) * pycel (>=1.0b30), * openpyxl (>=3.0.7) For building the apidocs with Sphinx see apidocs/requirements.txt Known issues: * Building the apidocs is failing with the current Sphinx release. Enjoy Martin

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Autobahn|Python v25.10.2 released
by Tobias Oberstein Nov. 7, 2025

Nov. 7, 2025

Hi all, I'd like to share a new release **Autobahn|Python v25.10.2** for #WebSocket & #WAMP. Included are: Enhanced CI/CD, latest PyPy Support, Binary Wheels for x86-64 and ARM64, and native NVX (SIMD vector acceleration). - **🌐 WAMP Protocol:** https://wamp-proto.org/ - **📋 Full Announcement:** https://github.com/crossbario/autobahn-python/discussions/1755 - **📦 PyPI:** https://pypi.org/project/autobahn/25.10.2/ - **📖 Docs:** https://autobahn.readthedocs.io/ - **💻 GitHub:** https://github.com/crossbario/autobahn-python ## What is Autobahn|Python? Autobahn|Python is a Python implementation of: - **WebSocket** (RFC 6455) - Both client and server - **WAMP** (Web Application Messaging Protocol) - RPC and PubSub for microservices that works on both **Twisted** and **asyncio** with the same API. ## Key Features of This Release **🔧 Critical Fixes** - Fixed source distribution integrity issues - Resolved CPU architecture detection (NVX support) - Improved reliability of sdist builds **🔐 Cryptographic Chain-of-Custody** - All build artifacts include SHA256 checksums - Verification before GitHub Release creation - Automated integrity checks in CI/CD pipeline **🏗️ Production-Ready CI/CD** - Automated tag-triggered releases (`git push tag vX.Y.Z`) - GitHub Actions workflows with full test coverage - Publishes to PyPI with trusted publishing (OIDC) - Comprehensive wheel builds for all platforms **📦 Binary Wheels** - CPython 3.11, 3.12, 3.13, 3.14 - PyPy 3.10, 3.11 - Linux (x86_64, aarch64), macOS (Intel, Apple Silicon), Windows (x64) ## Why Autobahn? **For WebSocket:** - Production-proven implementation (used by thousands) - Full RFC 6455 compliance - Excellent performance and stability - Compression, TLS, and all extensions **For Microservices (WAMP):** - Remote Procedure Calls (RPC) with routed calls - Publish & Subscribe with pattern matching - Works across languages (Python, JavaScript, Java, C++) - Battle-tested in production environments

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zlmdb v25.10.1 released
by Tobias Oberstein Nov. 7, 2025

Nov. 7, 2025

Hi all, I'd like to share a new release of zlmdb: LMDB for Python with PyPy Support, Binary Wheels, and Vendored Dependencies. - **📦 PyPI:** https://pypi.org/project/zlmdb/25.10.1/ - **📖 Docs:** https://zlmdb.readthedocs.io/en/latest/ - **💻 GitHub:** https://github.com/crossbario/zlmdb - **📋 Full Announcement:** https://github.com/crossbario/zlmdb/discussions/73 ## What is zlmdb? zlmdb provides two APIs in one package: 1. **Low-level py-lmdb compatible API** - Drop-in replacement for py-lmdb with the same interface 2. **High-level ORM API** - Type-safe persistent objects with automatic serialization ## Why this release is interesting **🔋 Batteries Included - Zero Dependencies** - Vendored LMDB (no system installation needed) - Vendored Flatbuffers (high-performance serialization built-in) - Just `pip install zlmdb` and you're ready to go! **🐍 PyPy Support** - Built with CFFI (not CPyExt) so it works perfectly with PyPy - Near-C performance with JIT compilation - py-lmdb doesn't work on PyPy due to CPyExt dependency **📦 Binary Wheels for Everything** - CPython 3.11, 3.12, 3.13, 3.14 (including free-threaded 3.14t) - PyPy 3.11 - Linux (x86_64, aarch64), macOS (Intel, Apple Silicon), Windows (x64) - No compilation required on any platform **⚡ Performance Features** - Memory-mapped I/O (LMDB's legendary speed) - Zero-copy operations where possible - Multiple serializers: JSON, CBOR, Pickle, Flatbuffers - Integration with Numpy, Pandas, and Apache Arrow ## Quick Example ```python # Low-level API (py-lmdb compatible) from zlmdb import lmdb env = lmdb.open('/tmp/mydb') with env.begin(write=True) as txn: txn.put(b'key', b'value') # High-level ORM API from zlmdb import zlmdb class User(zlmdb.Schema): oid: int name: str email: str db = zlmdb.Database('/tmp/userdb') with db.begin(write=True) as txn: user = User(oid=1, name='Alice', email='alice(a)example.com') txn.store(user) ``` ## When to use zlmdb? - ✅ Need PyPy support (py-lmdb won't work) - ✅ Want zero external dependencies - ✅ Building for multiple platforms (we provide all wheels) - ✅ Want both low-level control AND high-level ORM - ✅ Need high-performance embedded database zlmdb is part of the [WAMP project family](https://wamp-proto.org/) and used in production by [Crossbar.io](https://crossbar.io/).

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