Mailman 3 February 2025 - Python-announce-list

TatSu 5.13.0
by Juancarlo Añez Sept. 27, 2025

Sept. 27, 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:apalala@gmail.com

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ANN: Python-Blosc2 3.1.1 has been released!
by Francesc Alted Feb. 14, 2025

Feb. 14, 2025

Announcing Python-Blosc2 3.1.0 (and 3.1.1) ========================================== This is a minor release where we optimized the performance of the internal compute engine, as well as indexing for NDArrays. We also added new API: * blosc2.evaluate: a drop-in replacement of numexpr.evaluate(). This allows to evaluate expressions with combinations of NDArrays and NumPy arrays. In addition, it has the next improvements: - More functionality than numexpr (e.g. reductions). - Follow casting rules of NumPy more closely. - Use both NumPy arrays and Blosc2 NDArrays in the same expression. * blosc2.jit: a decorator to compile a function with a NumPy expression using the compute engine of Blosc2. Useful to speed up the evaluation of pure NumPy expressions at runtime. You can think of Python-Blosc2 3.0 as an extension of NumPy/numexpr that: - Can deal with ndarrays compressed using first-class codecs & filters. - Performs many kind of math expressions, including reductions, indexing... - Supports broadcasting operations. - Supports NumPy ufunc mechanism: mix and match NumPy and Blosc2 computations. - Integrates with Numba and Cython via UDFs (User Defined Functions). - Adheres to modern NumPy casting rules way better than numexpr. - Computes expressions only when needed. They can also be stored for later use. Install it with:: pip install blosc2 --update # if you prefer wheels conda install -c conda-forge python-blosc2 mkl # if you prefer conda and MKL For more info, you can have a look at the release notes in: https://github.com/Blosc/python-blosc2/releases Code example:: from time import time import blosc2 import numpy as np # Create some data operands N = 20_000 a = blosc2.linspace(0, 1, N * N, dtype="float32", shape=(N, N)) b = blosc2.linspace(1, 2, N * N, shape=(N, N)) c = blosc2.linspace(-10, 10, N) # broadcasting is supported # Expression t0 = time() expr = ((a**3 + blosc2.sin(c * 2)) < b) & (c > 0) print(f"Time to create expression: {time()-t0:.5f}") # Evaluate while reducing (yep, reductions are in) along axis 1 t0 = time() out = blosc2.sum(expr, axis=1) t1 = time() - t0 print(f"Time to compute with Blosc2: {t1:.5f}") # Evaluate using NumPy na, nb, nc = a[:], b[:], c[:] t0 = time() nout = np.sum(((na**3 + np.sin(nc * 2)) < nb) & (nc > 0), axis=1) t2 = time() - t0 print(f"Time to compute with NumPy: {t2:.5f}") print(f"Speedup: {t2/t1:.2f}x") assert np.all(out == nout) print("All results are equal!") This will output something like (using an Intel i9-13900X CPU here):: Time to create expression: 0.00033 Time to compute with Blosc2: 0.46387 Time to compute with NumPy: 2.57469 Speedup: 5.55x All results are equal! See a more in-depth example, explaining why Python-Blosc2 is so fast, at: https://www.blosc.org/python-blosc2/getting_started/overview.html#operating… Sources repository ------------------ The sources and documentation are managed through github services at: https://github.com/Blosc/python-blosc2 Python-Blosc2 is distributed using the BSD license, see https://github.com/Blosc/python-blosc2/blob/main/LICENSE.txt for details. Mastodon feed ------------- Follow https://fosstodon.org/@Blosc2 to get informed about the latest developments. Enjoy! - Blosc Development Team Compress better, compute bigger

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ANN: psutil 7.0.0 released (remove Python 2.7 support)
by Giampaolo Rodola' Feb. 13, 2025

Feb. 13, 2025

Hello all, I'm glad to announce the release of psutil 7.0.0: https://github.com/giampaolo/psutil About ===== psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network) in Python. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes. It implements many functionalities offered by command line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free, nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It currently supports Linux, Windows, macOS, Sun Solaris, FreeBSD, OpenBSD, NetBSD and AIX. Supported Python versions are cPython 3.6+ and PyPy. This release removes support for Python 2.7. See blog post: https://gmpy.dev/blog/2025/psutil-drop-python-27-support What's new ========== 2025-02-13 **Enhancements** - #669, [Windows]: `net_if_addrs()`_ also returns the ``broadcast`` address instead of ``None``. - #2480: Python 2.7 is no longer supported. Latest version supporting Python 2.7 is psutil 6.1.X. Install it with: ``pip2 install psutil==6.1.*``. - #2490: removed long deprecated ``Process.memory_info_ex()`` method. It was deprecated in psutil 4.0.0, released 8 years ago. Substitute is ``Process.memory_full_info()``. **Bug fixes** - #2496, [Linux]: Avoid segfault (a cPython bug) on ``Process.memory_maps()`` for processes that use hundreds of GBs of memory. - #2502, [macOS]: `virtual_memory()`_ now relies on ``host_statistics64`` instead of ``host_statistics``. This is the same approach used by ``vm_stat`` CLI tool, and should grant more accurate results. **Compatibility notes** - #2480: Python 2.7 is no longer supported. - #2490: removed long deprecated ``Process.memory_info_ex()`` method. Links ===== - Home page: https://github.com/giampaolo/psutil - Download: https://pypi.org/project/psutil/#files - Documentation: http://psutil.readthedocs.io - What's new: https://github.com/giampaolo/psutil/blob/master/HISTORY.rst Hashes ====== psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl md5: c2607c927edc1f378d45b0d38f86e7c1 sha256: 101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25 psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl md5: 361dc77a06c0d7e4ff8264147ac76b47 sha256: 39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl md5: d1b25e4e43c96c8ce6b6699e7343f91c sha256: 1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91 psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl md5: 7afbeec81bc99116377660f1e7c345a7 sha256: 4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34 psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl md5: dc5502c0042a6e5cd4bb2feb12f2565b sha256: a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993 psutil-7.0.0-cp36-cp36m-win32.whl md5: 2201432bbed8a14068a75337023952c0 sha256: 84df4eb63e16849689f76b1ffcb36db7b8de703d1bc1fe41773db487621b6c17 psutil-7.0.0-cp36-cp36m-win_amd64.whl md5: f62c8bf1d36d2b15c4384828a580d4bc sha256: 1e744154a6580bc968a0195fd25e80432d3afec619daf145b9e5ba16cc1d688e psutil-7.0.0-cp37-abi3-win32.whl md5: 2e8f0c36ed491306547c4adf7e7ab31f sha256: ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99 psutil-7.0.0-cp37-abi3-win_amd64.whl md5: 5992b730c3f438c9f0c3dc53481cffd3 sha256: 4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553 psutil-7.0.0.tar.gz md5: 1c074ff5828dff3a3ecfa0e0f9de2e63 sha256: 7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456 -- Giampaolo - https://gmpy.dev/about

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imaplib changes in Python 3.14.0 alpha 5
by Forest Feb. 13, 2025

Feb. 13, 2025

Hi, folks. The IMAP4 IDLE command has landed in imaplib as of Python 3.14.0 alpha 5, along with some internal module changes to support it. If you maintain code that uses imaplib, now would be a good time to test it with the latest alpha. If you've been wanting IMAP IDLE support, now would be a good time to try the new feature with your mail server(s) of choice. Cheers!

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NumPy 2.2.3 Release
by Charles R Harris Feb. 13, 2025

Feb. 13, 2025

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.2.3. NumPy 2.2.3 is a patch release that fixes bugs found after the 2.2.2 release. The majority of the changes are typing improvements and fixes for free threaded Python. Both of those areas are still under development, so if you discover new problems, please report them. This release supports Python 3.10-3.13. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.2.3>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v2.2.3>. *Contributors* A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - !amotzop - Charles Harris - Chris Sidebottom - Joren Hammudoglu - Matthew Brett - Nathan Goldbaum - Raghuveer Devulapalli - Sebastian Berg - Yakov Danishevsky + *Pull requests merged* A total of 21 pull requests were merged for this release. - #28185: MAINT: Prepare 2.2.x for further development - #28201: BUG: fix data race in a more minimal way on stable branch - #28208: BUG: Fix ``from_float_positional`` errors for huge pads - #28209: BUG: fix data race in np.repeat - #28212: MAINT: Use VQSORT_COMPILER_COMPATIBLE to determine if we should... - #28224: MAINT: update highway to latest - #28236: BUG: Add cpp atomic support (#28234) - #28237: BLD: Compile fix for clang-cl on WoA - #28243: TYP: Avoid upcasting ``float64`` in the set-ops - #28249: BLD: better fix for clang / ARM compiles - #28266: TYP: Fix ``timedelta64.__divmod__`` and ``timedelta64.__mod__``... - #28274: TYP: Fixed missing typing information of set_printoptions - #28278: BUG: backport resource cleanup bugfix from gh-28273 - #28282: BUG: fix incorrect bytes to stringdtype coercion - #28283: TYP: Fix scalar constructors - #28284: TYP: stub ``numpy.matlib`` - #28285: TYP: stub the missing ``numpy.testing`` modules - #28286: CI: Fix the github label for ``TYP:`` PR's and issues - #28305: TYP: Backport typing updates from main - #28321: BUG: fix race initializing legacy dtype casts - #28324: CI: update test_moderately_small_alpha Cheers, Charles Harris

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Python 3.14.0 alpha 5
by Hugo van Kemenade Feb. 11, 2025

Feb. 11, 2025

Here comes the antepenultimate alpha. https://www.python.org/downloads/release/python-3140a5/ This is an early developer preview of Python 3.14. Major new features of the 3.14 series, compared to 3.13: Python 3.14 is still in development. This release, 3.14.0a5, is the fifth 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 (2025-05-06) and, if necessary, may be modified or deleted up until the release candidate phase (2025-07-22). Please keep in mind that this is a preview release and its use is not recommended for production environments. Many new features for Python 3.14 are still being planned and written. Among the new major new features and changes so far: - PEP 649: deferred evaluation of annotations - PEP 741: Python configuration C API - PEP 761: Python 3.14 and onwards no longer provides PGP signatures for release artifacts. Instead, Sigstore is recommended for verifiers. - Improved error messages - A new type of interpreter. For certain newer compilers, this interpreter provides significantly better performance. Opt-in for now, requires building from source. - Python removals and deprecations - C API removals and deprecations - (Hey, fellow core developer, if a feature you find important is missing from this list, let Hugo know.) The next pre-release of Python 3.14 will be the penultimate alpha, 3.14.0a6, currently scheduled for 2025-03-14. More resources: - Online documentation: https://docs.python.org/3.14/ - PEP 745, 3.14 Release Schedule: https://peps.python.org/pep-0745/ - Report bugs at https://github.com/python/cpython/issues - Help fund Python and its community: https://www.python.org/psf/donations/ And now for something completely different! 2025-01-29 marked the start of a new lunar year, the Year of the Snake 🐍 (and the Year of Python?). For centuries, π was often approximated as 3 in China. Some time between the years 1 and 5 CE, astronomer, librarian, mathematician and politician Liu Xin (劉歆) calculated π as 3.154. Around 130 CE, mathematician, astronomer, and geographer Zhang Heng (張衡, 78–139) compared the celestial circle with the diameter of the earth as 736:232 to get 3.1724. He also came up with a formula for the ratio between a cube and inscribed sphere as 8:5, implying the ratio of a square’s area to an inscribed circle is √8:√5. From this, he calculated π as √10 (~3.162). Third century mathematician Liu Hui (刘徽) came up with an algorithm for calculating π iteratively: calculate the area of a polygon inscribed in a circle, then as the number of sides of the polygon is increased, the area becomes closer to that of the circle, from which you can approximate π. This algorithm is similar to the method used by Archimedes in the 3rd century BCE and Ludolph van Ceulen in the 16th century CE (see 3.14.0a2 release notes), but Archimedes only went up to a 96-sided polygon (96-gon). Liu Hui went up to a 192-gon to approximate π as 157/50 (3.14) and later a 3072-gon for 3.14159. Liu Hu wrote a commentary on the book The Nine Chapters on the Mathematical Art which included his π approximations. In the fifth century, astronomer, inventor, mathematician, politician, and writer Zu Chongzhi (祖沖之, 429–500) used Liu Hui’s algorithm to inscribe a 12,288-gon to compute π between 3.1415926 and 3.1415927, correct to seven decimal places. This was more accurate than Hellenistic calculations and wouldn’t be improved upon for 900 years. Happy Year of the Snake! Enjoy the new release 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 organisation contributions to the Python Software Foundation. Regards from a remarkably snowless Helsinki, Your release team, Hugo van Kemenade Ned Deily Steve Dower Łukasz Langa

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PyCA cryptography 44.0.1 released
by Alex Gaynor Feb. 11, 2025

Feb. 11, 2025

PyCA cryptography 44.0.1 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 3.7+, and PyPy3 7.3.10+. Changelog (https://cryptography.io/en/latest/changelog/#v44-0-1): * Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.4.1. * We now build armv7l manylinux wheels and publish them to PyPI. * We now build manylinux_2_34 wheels and publish them to PyPI. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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ANN: wxGlade GUI builder release 1.0.1
by Dietmar Schwertberger Feb. 9, 2025

Feb. 9, 2025

Hi! I'm pleased to announce the availability of wxGlade revision 1.0.1 Please download from https://sourceforge.net/projects/wxglade/files/wxglade/1.0.1/ wxGlade is a GUI builder for wxWidgets and wxPython. The documentation includes a tutorial for people who have not used wxPython before. Included are also examples for integration with matplotlib. A snapshot of the documentation is available at http://wxglade.sourceforge.net/docs/index.html For support, there's a mailing list at https://sourceforge.net/p/wxglade/mailman/wxglade-general/ git repository and bug tracker are at https://github.com/wxGlade/wxGlade (These pages are also linked from the help menu.) Changes in revision 1.0.x: ========================== Besides many improvements in usability, code generation and widget support, this is also a major internal refactoring of the main data structure and how widgets in the Design window are created / updated / destroyed. *General:* - sizers only required where wx requires them; not required e.g. for Frame->Panel (used to be Frame->Sizer->Panel) - better handling of display updates when properties are edited - accessibility and usability improvements - Dialog example - documentation update *Widgets:* - all: separate class related properties into Class / Base Classes / Instance Class - Dialog: add StdDialogButtonSizer and standard buttons (stock items); support SetAffirmativeId, SetEscapeId - Button: support for image direction - MenuBar: support lambda event handlers - GridBagSizer: indicate overlapped slots in the Tree view *Generated Code:* - no separation into __set_properties/__do_layout any more - support for instantiation classes *Internal:* - internal structures refactored - add shell window and Tree Printer wxGlade is released under the MIT license. Happy New Year, Dietmar Schwertberger dietmar(a)schwertberger.de <P><A HREF="https://sourceforge.net/projects/wxglade/files/wxglade/1.0.1/">wxGlade 1.0.1</A> - GUI builder for wxPython (31-Dec-20)

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[RELEASE] Python 3.13.2 and 3.12.9 now available!
by Thomas Wouters Feb. 4, 2025

Feb. 4, 2025

A small release day today! That is to say the releases are relatively small; the day itself was of average size, as most days are. <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Python 3.13.2 Python 3.13’s second maintenance release. About 250 changes went into this update, and can be yours for free if you just upgrade now. https://www.python.org/downloads/release/python-3132/ <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Python 3.12.9 Python 3.12’s *ninth* maintenance release already. Just 180 changes for 3.12, but it’s still worth upgrading. https://www.python.org/downloads/release/python-3129/ <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Enjoy the 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. Regards from your team, Thomas Wouters Ned Deily Steve Dower Łukasz Langa

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RELEASE: Beautiful Soup Beautiful Soup 4.13.0 (and 4.13.1)
by Sumana Harihareswara Feb. 3, 2025

Feb. 3, 2025

Leonard Richardson writes: "After a beta period lasting nearly a year, I've released the biggest update to Beautiful Soup in many years. For version 4.13.0 I added type hints to the Python code, and in doing so uncovered a large number of very small inconsistencies in the code. I've fixed the inconsistencies, but the result is a larger-than-usual number of deprecations and changes that may break backwards compatibility. " Blog post https://www.crummy.com/2025/02/02/0 "to highlight *just the most important* changes, specifically the changes most likely to make you need (or want) to change your code." Full CHANGELOG: https://git.launchpad.net/beautifulsoup/tree/CHANGELOG Bugfix release 4.13.1 is out: https://groups.google.com/g/beautifulsoup/c/M_vgwfO0RLA If you have questions, send them to the discussion group: https://groups.google.com/forum/?fromgroups#!forum/beautifulsoup If you find a bug, file it on Launchpad: https://bugs.launchpad.net/beautifulsoup/ If it's a security vulnerability, report it confidentially through Tidelift: https://tidelift.com/security Documentation, guidance for enterprise users, and more at the project homepage: https://www.crummy.com/software/BeautifulSoup/ best, Sumana Harihareswara

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