Mailman 3 - Python-announce-list

Python 3.14.0 beta 1 is here!
by Hugo van Kemenade May 7, 2025

May 7, 2025

Only one day late, welcome to the first beta! https://www.python.org/downloads/release/python-3140b1/ This is a beta preview of Python 3.14 Python 3.14 is still in development. This release, 3.14.0b1, is the first of four planned beta releases. Beta release previews are intended to give the wider community the opportunity to test new features and bug fixes and to prepare their projects to support the new feature release. We strongly encourage maintainers of third-party Python projects to test with 3.14 during the beta phase and report issues found to the Python bug tracker as soon as possible (https://github.com/python/cpython/issues). While the release is planned to be feature-complete entering the beta phase, it is possible that features may be modified or, in rare cases, deleted up until the start of the release candidate phase (Tuesday 2025-07-22). Our goal is to have no ABI changes after beta 4 and as few code changes as possible after the first release candidate. To achieve that, it will be extremely important to get as much exposure for 3.14 as possible during the beta phase. Please keep in mind that this is a preview release and its use is not recommended for production environments. Major new features of the 3.14 series, compared to 3.13 Some of the major new features and changes in Python 3.14 are: New features - PEP 649: The evaluation of type annotations is now deferred, improving the semantics of using annotations. - PEP 750: Template string literals (t-strings) for custom string processing, using the familiar syntax of f-strings. - PEP 784: A new module compression.zstd providing support for the Zstandard compression algorithm. - PEP 758: except and except* expressions may now omit the brackets. - Syntax highlighting in PyREPL, and support for color in unittest, argparse, json and calendar CLIs. - PEP 768: A zero-overhead external debugger interface for CPython. - UUID versions 6-8 are now supported by the uuid module, and generation of versions 3-5 and 8 are up to 40% faster. - PEP 765: Disallow return/break/continue that exit a finally block. - PEP 741: An improved C API for configuring Python. - A new type of interpreter. For certain newer compilers, this interpreter provides significantly better performance. Opt-in for now, requires building from source. - Improved error messages. - Builtin implementation of HMAC with formally verified code from the HACL* project. For more details on the changes to Python 3.14, see What’s new in Python 3.14. https://docs.python.org/3.14/whatsnew/3.14.html The next pre-release of Python 3.14 will be 3.14.0b2, scheduled for 2025-05-27. Build changes - PEP 761: Python 3.14 and onwards no longer provides PGP signatures for release artifacts. Instead, Sigstore is recommended for verifiers. - Official macOS and Windows release binaries include an experimental JIT compiler. Incompatible changes, removals and new deprecations - https://docs.python.org/3.14/whatsnew/3.14.html#incompatible-changes - https://docs.python.org/3.14/whatsnew/3.14.html#removed - https://docs.python.org/3.14/whatsnew/3.14.html#deprecated - https://docs.python.org/3.14/whatsnew/3.14.html#c-api-removed - https://docs.python.org/3.14/whatsnew/3.14.html#c-api-deprecated Python install manager The installer we offer for Windows is being replaced by our new install manager, which can be installed from the Windows Store or our FTP page. See our documentation for more information. The JSON file available for download below contains the list of all the installable packages available as part of this release, including file URLs and hashes, but is not required to install the latest release. The traditional installer will remain available throughout the 3.14 and 3.15 releases. 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/ Note During the release process, we discovered a test that only failed when run sequentially and only when run after a certain number of other tests. This appears to be a problem with the test itself, and we will make it more robust for beta 2. For details, see https://github.com/python/cpython/issues/133532 And now for something completely different The mathematical constant pi is represented by the Greek letter π and represents the ratio of a circle’s circumference to its diameter. The first person to use π as a symbol for this ratio was Welsh self-taught mathematician William Jones in 1706. He was a farmer’s son born in Llanfihangel Tre’r Beirdd on Angelsy (Ynys Môn) in 1675 and only received a basic education at a local charity school. However, the owner of his parents’ farm noticed his mathematical ability and arranged for him to move to London to work in a bank. By age 20, he served at sea in the Royal Navy, teaching sailors mathematics and helping with the ship’s navigation. On return to London seven years later, he became a maths teacher in coffee houses and a private tutor. In 1706, Jones published Synopsis Palmariorum Matheseos which used the symbol π for the ratio of a circle’s circumference to diameter. Jones was also the first person to realise π is an irrational number, meaning it can be written as a decimal number that goes on forever, but cannot be written as a fraction of two integers. But why π? It’s thought Jones used the Greek letter π because it’s the first letter in perimetron or perimeter. Jones was the first to use π as our familiar ratio but wasn’t the first to use it in as part of the ratio. William Oughtred, in his 1631 Clavis Mathematicae (The Key of Mathematics), used π/δ to represent what we now call pi. His π was the circumference, not the ratio of circumference to diameter. James Gregory, in his 1668 Geometriae Pars Universalis (The Universal Part of Geometry) used π/ρ instead, where ρ is the radius, making the ratio 6.28… or τ. After Jones, Leonhard Euler had used π for 6.28…, and also p for 3.14…, before settling on and popularising π for the famous ratio. 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 Helsinki as the leaves begin to appear on the trees, Your release team, Hugo van Kemenade Ned Deily Steve Dower Łukasz Langa

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PyCA cryptography 44.0.3 released
by Alex Gaynor May 2, 2025

May 2, 2025

PyCA cryptography 44.0.3 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/#v44-0-3): * Fixed compilation when using LibreSSL 4.1.0. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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ANN: Python-Blosc2 3.3.2 released
by Francesc Alted May 1, 2025

May 1, 2025

Announcing Python-Blosc2 3.3.2 ============================== This is a bugfix release, with some minor optimizations. We fixed specially a bug in the determination of chunk shape in constructors on CPUs with large L3 cache sizes (like AMD EPYC). We also fixed a bug preventing the correct chaining of *string* lazy expressions for logical operators (``&``, ``|``, ``^``...). You can think of Python-Blosc2 3.x 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. - Supports linear algebra operations (like ``blosc2.matmul()``). 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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NumPy 2.2.5 released
by Charles R Harris April 20, 2025

April 20, 2025

Hi All, NumPy 2.2.5 is a patch release that fixes bugs found after the 2.2.4 release. It has a large number of typing fixes/improvements as well as the normal bug fixes and some CI maintenance. This release supports Python 3.10-3.13. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.2.5>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v2.2.5>. *Contributors* A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Joren Hammudoglu - Baskar Gopinath + - Nathan Goldbaum - Nicholas Christensen + - Sayed Adel - karl + *Pull requests merged* A total of 19 pull requests were merged for this release. - #28545: MAINT: Prepare 2.2.x for further development - #28582: BUG: Fix return type of NpyIter_GetIterNext in Cython declarations - #28583: BUG: avoid deadlocks with C++ shared mutex in dispatch cache - #28585: TYP: fix typing errors in ``_core.strings`` - #28631: MAINT, CI: Update Ubuntu to 22.04 in azure-pipelines - #28632: BUG: Set writeable flag for writeable dlpacks. - #28633: BUG: Fix crackfortran parsing error when a division occurs within... - #28650: TYP: fix ``ndarray.tolist()`` and ``.item()`` for unknown dtype - #28654: BUG: fix deepcopying StringDType arrays (#28643) - #28661: TYP: Accept objects that ``write()`` to ``str`` in ``savetxt`` - #28663: CI: Replace QEMU armhf with native (32-bit compatibility mode) - #28682: SIMD: Resolve Highway QSort symbol linking error on aarch32/ASIMD - #28683: TYP: add missing ``"b1"`` literals for ``dtype[bool]`` - #28705: TYP: Fix false rejection of ``NDArray[object_].__abs__()`` - #28706: TYP: Fix inconsistent ``NDArray[float64].__[r]truediv__`` return... - #28723: TYP: fix string-like ``ndarray`` rich comparison operators - #28758: TYP: some ``[arg]partition`` fixes - #28772: TYP: fix incorrect ``random.Generator.integers`` return type - #28774: TYP: fix ``count_nonzero`` signature Cheers, Charles Harris

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Python 3.14.0a7, 3.13.3, 3.12.10, 3.11.12, 3.10.17 and 3.9.22 are now available
by Hugo van Kemenade April 8, 2025

April 8, 2025

Not one, not two, not three, not four, not five, but six releases! Is this the most in a single day? 3.12-3.14 were regularly scheduled, and we had some security fixes to release in 3.9-3.11 so let’s make a big day of it. This also marks the last bugfix release of 3.12 as it enters the security-only phase. Python 3.14.0a7 Here comes the final alpha! This means we have just four weeks until the first beta to get those last features into 3.14 before the feature freeze on 2025-05-06! https://www.python.org/downloads/release/python-3140a7/ 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, 3.14.0a7, is the last 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 758: Allow except and except* expressions without parentheses - PEP 761: Python 3.14 and onwards no longer provides PGP signatures for release artifacts. Instead, Sigstore is recommended for verifiers. - PEP 765: disallow return/break/continue that exit a finally block - PEP 768: Safe external debugger interface for CPython - A new type of interpreter. For certain newer compilers, this interpreter provides significantly better performance. Opt-in for now, requires building from source. - UUID versions 6-8 are now supported by the uuid module, and generation of versions 3-5 and 8 are up to 40% faster. - Improved error messages - 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 first beta, 3.14.0b1, currently scheduled for 2025-05-06. After this, no new features can be added but bug fixes and docs improvements are allowed – and encouraged! Python 3.13.3 This is the third maintenance release of Python 3.13. Python 3.13 is the newest major release of the Python programming language, and it contains many new features and optimizations compared to Python 3.12. 3.13.3 is the latest maintenance release, containing almost 320 bugfixes, build improvements and documentation changes since 3.13.2. https://www.python.org/downloads/release/python-3133/ Python 3.12.10 This is the tenth maintenance release of Python 3.12. Python 3.12.10 is the latest maintenance release of Python 3.12, and the last full maintenance release. Subsequent releases of 3.12 will be security-fixes only. This last maintenance release contains about 230 bug fixes, build improvements and documentation changes since 3.12.9. https://www.python.org/downloads/release/python-31210/ Python 3.11.12 This is a security release of Python 3.11: - gh-106883: Fix deadlock in threaded application when using sys._current_frames - gh-131809: Upgrade vendored expat to 2.7.1 - gh-80222: Folding of quoted string in display_name violates RFC - gh-121284: Invalid RFC 2047 address header after refolding with email.policy.default - gh-131261: Update libexpat to 2.7.0 - gh-105704: [CVE-2025-0938] urlparse does not flag hostname containing [ or ] as incorrect - gh-119511: OOM vulnerability in the imaplib module https://www.python.org/downloads/release/python-31112/ Python 3.10.17 This is a security release of Python 3.10: - gh-131809: Upgrade vendored expat to 2.7.1 - gh-80222: Folding of quoted string in display_name violates RFC - gh-121284: Invalid RFC 2047 address header after refolding with email.policy.default - gh-131261: Update libexpat to 2.7.0 - gh-105704: CVE-2025-0938 urlparse does not flag hostname containing [ or ] as incorrect - gh-119511: OOM vulnerability in the imaplib module https://www.python.org/downloads/release/python-31017/ Python 3.9.22 This is a security release of Python 3.9: - gh-131809 and gh-131261: Upgrade vendored expat to 2.7.1 - gh-121284: Invalid RFC 2047 address header after refolding with email.policy.default - gh-105704: CVE-2025-0938 urlparse does not flag hostname containing [ or ] as incorrect - gh-119511: OOM vulnerability in the imaplib module https://www.python.org/downloads/release/python-3922/ Please upgrade! Please test! We highly recommend upgrading 3.9-3.13 and we encourage you to test 3.14. And now for something completely different On Saturday, 5th April, 3.141592653589793 months of the year had elapsed. 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 organisation contributions to the Python Software Foundation: https://www.python.org/psf-landing/ Regards from a sunny and cold Helsinki springtime, Your full release team, Hugo van Kemenade Thomas Wouters Pablo Galindo Salgado Łukasz Langa Ned Deily Steve Dower

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python-oracledb 3.1.0
by Anthony Tuininga April 3, 2025

April 3, 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/3.1.0/ The easiest method to install/upgrade python-oracledb is via pip as in python -m pip install oracledb --upgrade What's new? This release adds a number of new features and corrects a number of issues. Highlights are as follows: - support added for scrollable cursors in thin mode - improved support for AQ in thin mode - improvements to data frame fetching 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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SCons 4.9.1 Released
by Bill Deegan March 27, 2025

March 27, 2025

A new SCons release, 4.9.1, is now available on the SCons download page: https://scons.org/pages/download.html Here is a summary of the changes since 4.9.0: FIXES ----- - New CacheDir initialization code failed on Python 3.7 for unknown reason (worked on 3.8+). Adjusted the approach a bit. Fixes #4694. - Fixed a hang in `wait_for_process_to_die()` on Windows, affecting clean-up of the SCons daemon used for Ninja builds. Thanks to the following contributors listed below for their contributions to this release. ================================================================= git shortlog --no-merges -ns 4.9.0..HEAD 7 Mats Wichmann 4 William Deegan 2 Adam Simpkins

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ANN: Python-Blosc2 3.2.1 has been released!
by Francesc Alted March 26, 2025

March 26, 2025

Announcing Python-Blosc2 3.2.1 ============================== Here, all array containers in Blosc2 implement the ``__array_interface__`` protocol to expose the data in the array. This allows for better interoperability with other libraries like NumPy, CuPy, etc. Now, the range of functions spans to most of NumPy functions, including reductions. See examples at: https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy… See benchmarks at: https://github.com/Blosc/python-blosc2/blob/main/bench/ndarray/jit-numpy-fu… We have also improved the performance of constructors like ``blosc2.linspace()`` or ``blosc2.arange()`` by a factor of up to 3x for large arrays. You can think of Python-Blosc2 3.x 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. - Supports linear algebra operations (like ``blosc2.matmul()``). 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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Wing Python IDE 10.0.9 released
by Wingware March 25, 2025

March 25, 2025

Wing 10.0.9 fixes usability issues with AI supported development, selects text and shows callouts when visiting Find Uses matches, adds User Interface > Fonts > Editor Line Spacing preference, avoids spurious syntax errors on type annotation comments, increases allowed length for Image ID in the Container dialog, and fixes other minor bugs and usability issues. Details: https://wingware.com/news/2025-03-24 Downloads: https://wingware.com/downloads == About Wing == Wing is a full-featured but light-weight Python IDE designed specifically for Python, with powerful editing, code inspection, testing, and debugging capabilities. Wing's editor provides AI-assisted development, auto-completion, auto-editing, code navigation, early error detection, and refactoring that speed up development. Its top notch debugger works with any Python code, locally or on a remote host, container, or cluster. Wing also supports test-driven development, version control, Python package management, UI color and layout customization, and includes extensive documentation and support. Wing is available in three product levels: Wing Pro is the full-featured Python IDE for professional developers, Wing Personal is a free Python IDE for students and hobbyists (omits some features), and Wing 101 is a free Python IDE designed for beginners (omits many features). Learn more at https://wingware.com/

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Sponsorship Opportunity – DevsHouse'25 | GDG on Campus, VIT Chennai
by ashwinsingh.slathia2023＠vitstudent.ac.in March 24, 2025

March 24, 2025

Greetings from GDG on Campus VIT Chennai! We’re excited to introduce DevsHouse'25, an MLH official hackathon happening on April 4-6, 2025, at VIT Chennai. This 36-hour innovation sprint will bring together top developers and tech enthusiasts from 30+ universities, solving real-world challenges in FinTech, Blockchain, AR/VR, IoT, and more. With a reach of over 50,000 tech enthusiasts nationwide, this event provides an excellent opportunity to engage with a highly relevant and impactful audience. We are reaching out to explore a potential sponsorship collaboration and believe this could be a great opportunity for your organization to engage with a vibrant community of future tech leaders. Your involvement will not only enhance the event’s impact but also demonstrate your commitment to driving innovation and supporting transformative ideas. Please find the attached sponsorship brochure for more details about the event and sponsorship opportunities. Let’s connect to explore how we can create an impactful partnership. Looking forward to your reply! Warm regards, Ashwin Singh Slathia Google Developer Groups on Campus VIT Chennai -- **Disclaimer:* This message was sent from Vellore Institute of Technology. The contents of this email may contain legally protected confidential or privileged information of “Vellore Institute of Technology”. If you are not the intended recipient, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately and destroy all copies of this message and any attachments. If you have received this email in error, please promptly notify the sender by reply email and delete the original email and any backup copies without reading them.*

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