Mailman 3 March 2022 - Python-announce-list

pytest-7.1.0
by Ran Benita 13 Mar '22

13 Mar '22

pytest-7.1.0 ======================================= The pytest team is proud to announce the 7.1.0 release! This release contains new features, improvements, and bug fixes, the full list of changes is available in the changelog: 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: * Akuli * Andrew Svetlov * Anthony Sottile * Brett Holman * Bruno Oliveira * Chris NeJame * Dan Alvizu * Elijah DeLee * Emmanuel Arias * Fabian Egli * Florian Bruhin * Gabor Szabo * Hasan Ramezani * Hugo van Kemenade * Kian Meng, Ang * Kojo Idrissa * Masaru Tsuchiyama * Olga Matoula * P. L. Lim * Ran Benita * Tobias Deiminger * Yuval Shimon * eduardo naufel schettino * Éric Happy testing, The pytest Development Team

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[Conferences] PyCon APAC 2022 - Initial announcement and Call for Presentations
by Jonathan Yeh 11 Mar '22

11 Mar '22

Dear Python Community, Greetings! I am Jonathan, a volunteer of PyCon APAC 2022 <https://www.python.org/events/python-events/1216/>. PyCon APAC 2022 will be held fully remotely on September 3-4 by the PyCon Taiwan organizing team <https://pycontw.blogspot.com/2022/02/pycon-apac-2022-will-be-hosted-by-pyco…> and the other communities in the APAC region. PyCon APAC 2022 CfP <https://pycontw.blogspot.com/2022/03/pycon-apac-2022-cfp-is-open.html> is open now. Visit our website <https://tw.pycon.org/2022/> or blog <https://pycontw.blogspot.com/> for important dates and more details. We are looking forward to seeing you! Best Regards, - Jonathan PyCon Taiwan Organizing Team

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PEPs will move to peps.python.org
by Adam Turner 09 Mar '22

09 Mar '22

With the acceptance of PEP 676, the canonical home of the Python Enhancement Proposal series will shortly move to peps.python.org. All existing links will redirect when the change is made, this announcement is to promote awareness of the new domain as canonical. Thanks, Adam Turner PEP Editor and author of PEP 676

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NumPy 1.22.3 released
by Charles R Harris 07 Mar '22

07 Mar '22

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.22.3. NumPy 1.22.3 is a maintenance release that fixes bugs discovered after the 1.22.2 release. The most noticeable fixes may be those for DLPack. One that may cause some problems is disallowing strings as inputs to logical ufuncs. It is still undecided how strings should be treated in those functions and it was thought best to simply disallow them until a decision was reached. That should not cause problems with older code. The Python versions supported in this release are 3.8-3.10. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.22.3>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.22.3>. Note that the Mac wheels are now based on OS X 10.14 rather than 10.9 that was used in previous NumPy release cycles. 10.14 is the oldest release supported by Apple. Linux users will need pip >= 0.19.3 in order to install the manylinux2014 wheels. A recent version of pip is needed to install the universal2 macos wheels. *Contributors* A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @GalaxySnail + - Alexandre de Siqueira - Bas van Beek - Charles Harris - Melissa Weber Mendonça - Ross Barnowski - Sebastian Berg - Tirth Patel - Matthieu Darbois *Pull requests merged* A total of 10 pull requests were merged for this release. - #21048: MAINT: Use "3.10" instead of "3.10-dev" on travis. - #21106: TYP,MAINT: Explicitly allow sequences of array-likes in ``np.concatenate`` - #21137: BLD,DOC: skip broken ipython 8.1.0 - #21138: BUG, ENH: np._from_dlpack: export correct device information - #21139: BUG: Fix numba DUFuncs added loops getting picked up - #21140: BUG: Fix unpickling an empty ndarray with a non-zero dimension... - #21141: BUG: use ThreadPoolExecutor instead of ThreadPool - #21142: API: Disallow strings in logical ufuncs - #21143: MAINT, DOC: Fix SciPy intersphinx link - #21148: BUG,ENH: np._from_dlpack: export arrays with any strided size-1... Cheers, Charles Harris

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[RELEASE] Python 3.11.0a6 is available
by Pablo Galindo Salgado 07 Mar '22

07 Mar '22

There are no easy releases these days! :sweat: After a week of delay due to several release blockers, buildbot problems and pandemic-related difficulties here is 3.11.0a6 for you to test. https://www.python.org/downloads/release/python-3110a6/ **This is an early developer preview of Python 3.11** # Major new features of the 3.11 series, compared to 3.10 Python 3.11 is still in development. This release, 3.11.0a6 is the sixth of seven planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2022-05-06) and, if necessary, may be modified or deleted up until the release candidate phase (2022-08-01). Please keep in mind that this is a preview release and its use is **not** recommended for production environments. Many new features for Python 3.11 are still being planned and written. Among the new major new features and changes so far: * [PEP 657](https://www.python.org/dev/peps/pep-0657/) -- Include Fine-Grained Error Locations in Tracebacks * [PEP 654](https://www.python.org/dev/peps/pep-0654/) -- Exception Groups and except* * [PEP 673](https://www.python.org/dev/peps/pep-0673/) -- Self Type * [PEP 646](https://www.python.org/dev/peps/pep-0646/)-- Variadic Generics * The [Faster Cpython Project](https://github.com/faster-cpython) is already yielding some exciting results: this version of CPython 3.11 is ~12% faster on the geometric mean of the [PyPerformance benchmarks]( speed.python.org), compared to 3.10.0. * Hey, **fellow core developer,** if a feature you find important is missing from this list, let me know. The next pre-release of Python 3.11 will be 3.11.0a7, currently scheduled for Tuesday, 2022-04-05. # More resources * [Online Documentation](https://docs.python.org/3.11/) * [PEP 664](https://www.python.org/dev/peps/pep-0664/), 3.11 Release Schedule * Report bugs at [https://bugs.python.org](https://bugs.python.org). * [Help fund Python and its community](/psf/donations/). # And now for something completely different In astrophysics and nuclear physics, nuclear pasta is a theoretical type of degenerate matter that is postulated to exist within the crusts of neutron stars. If it does in fact exist, nuclear pasta is the strongest material in the universe. Between the surface of a neutron star and the quark-gluon plasma at the core, at matter densities of 1014 g/cm3, nuclear attraction and Coulomb repulsion forces are of similar magnitude. The competition between the forces leads to the formation of a variety of complex structures assembled from neutrons and protons. Astrophysicists call these types of structures nuclear pasta because the geometry of the structures resembles various types of pasta. There are several phases of evolution (I swear these names are real), including the gnocchi phase, the spaghetti phase, the lasagna phase, the bucatini phase and the Swiss cheese phase. # We hope you enjoy those new releases! Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation. Your friendly release team, Pablo Galindo @pablogsal Ned Deily @nad Steve Dower @steve.dower

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Convert plain English to a datetime object with textime
by Eric Mendes 02 Mar '22

02 Mar '22

I have created a pip package that converts plain English to a datetime object. It is called textime. Pass "Second of March of two thousand and twenty two" to its main function and you'll get a datetime object like "2022-03-02 00:00:00". Not quite sure what it's for. It's just fun. https://github.com/Eric-Mendes/textime https://pypi.org/project/textime/ This project is open source and contributions are welcome and appreciated. Cheers!

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