Mailman 3 - Python-announce-list

NumPy 1.26.4 released
by Charles R Harris 05 Feb '24

05 Feb '24

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.26.4. NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. This is the last planned release in the 1.26.x series. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.26.4/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.26.4> *Contributors* A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Elliott Sales de Andrade - Lucas Colley + - Mark Ryan + - Matti Picus - Nathan Goldbaum - Ola x Nilsson + - Pieter Eendebak - Ralf Gommers - Sayed Adel - Sebastian Berg - Stefan van der Walt - Stefano Rivera *Pull requests merged* A total of 19 pull requests were merged for this release. - #25323: BUG: Restore missing asstr import - #25523: MAINT: prepare 1.26.x for further development - #25539: BUG: ``numpy.array_api``: fix ``linalg.cholesky`` upper decomp... - #25584: CI: Bump azure pipeline timeout to 120 minutes - #25585: MAINT, BLD: Fix unused inline functions warnings on clang - #25599: BLD: include fix for MinGW platform detection - #25618: TST: Fix test_numeric on riscv64 - #25619: BLD: fix building for windows ARM64 - #25620: MAINT: add ``newaxis`` to ``__all__`` in ``numpy.array_api`` - #25630: BUG: Use large file fallocate on 32 bit linux platforms - #25643: TST: Fix test_warning_calls on Python 3.12 - #25645: TST: Bump pytz to 2023.3.post1 - #25658: BUG: Fix AVX512 build flags on Intel Classic Compiler - #25670: BLD: fix potential issue with escape sequences in ``__config__.py`` - #25718: CI: pin cygwin python to 3.9.16-1 and fix typing tests [skip... - #25720: MAINT: Bump cibuildwheel to v2.16.4 - #25748: BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... - #25755: MAINT: Include header defining backtrace - #25756: BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) Cheers, Charles Harris

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PyDev 12.0.0 Released
by Fabio Zadrozny 04 Feb '24

04 Feb '24

PyDev 12.0.0 Release Highlights - *Debugger* - *sys.monitoring* is now used in Python 3.12 (and it's *much* faster than any previous version). - A new setting was added in the *Preferences > PyDev > Debug* to debug *just my code* (meaning that when stepping it will just step into files under PyDev source folders). - Improved the step into function (activated with *Ctrl+Alt* then *Click function* to step into). - Support for Python 3.6 and 3.7 was dropped (only Python 3.8 onwards is now supported). - *Ruff* - Ruff can now be used as a code formatter. - The latest ruff (*0.1.x*) is now supported (as it broke backward compatibility in its *0.1.0* version). - *Code Analysis* - Fixes in semantic analysis to better determine if strings in annotations should be checked for symbols or not. Note: *Only Python 3.8 onwards is now supported* * *Python 3.6* and *3.7* support is now *dropped* (please use *PyDev 11.0.3* if you still use it). About PyDev PyDev is an open-source Python IDE on top of Eclipse for Python (also available for Python on Visual Studio Code). It comes with goodies such as code completion, syntax highlighting, syntax analysis, code analysis, refactor, debug, interactive console, etc. It is also available as a standalone through LiClipse with goodies such as multiple cursors, theming and support for many other languages, such as Django Templates, Jinja2, Html, JavaScript, etc. Links: PyDev: http://pydev.org PyDev Blog: http://pydev.blogspot.com PyDev on VSCode: http://pydev.org/vscode LiClipse: http://www.liclipse.com PyVmMonitor - Python Profiler: http://www.pyvmmonitor.com/ Cheers, Fabio Zadrozny

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ANN: Leo 6.7.7
by Edward K. Ream 02 Feb '24

02 Feb '24

Leo https://leo-editor.github.io/leo-editor/ 6.7.7 is now available on [GitHub](https://github.com/leo-editor/leo-editor/releases) and [pypi]( https://pypi.org/project/leo/). Leo is an [IDE, outliner and PIM]( https://leo-editor.github.io/leo-editor/preface.html). **The highlights of Leo 6.7.7** - PR [#3761](https://github.com/leo-editor/leo-editor/pull/3761): Improve leoserver.py to support LeoInteg. - Assorted minor improvements. **Links** - [Download Leo](https://leo-editor.github.io/leo-editor/download.html) - [Install Leo](https://leo-editor.github.io/leo-editor/installing.html) - [6.7.7 Issues]( https://github.com/leo-editor/leo-editor/issues?q=is%3Aissue+milestone%3A6.… ) - [6.7.7 Pull Requests]( https://github.com/leo-editor/leo-editor/pulls?q=is%3Apr+milestone%3A6.7.7) - [Documentation](https://leo-editor.github.io/leo-editor/leo_toc.html) - [Tutorials](https://leo-editor.github.io/leo-editor/tutorial.html) - [Video tutorials](https://leo-editor.github.io/leo-editor/screencasts.html ) - [Forum](http://groups.google.com/group/leo-editor) - [Download](http://sourceforge.net/projects/leo/files/) - [Leo on GitHub](https://github.com/leo-editor/leo-editor) - [LeoVue](https://github.com/kaleguy/leovue#leo-vue) - [What people are saying about Leo]( https://leo-editor.github.io/leo-editor/testimonials.html) - [A web page that displays .leo files]( https://leo-editor.github.io/leo-editor/load-leo.html) - [More links](https://leo-editor.github.io/leo-editor/leoLinks.html) ----------------------------------------------------------------- Edward K. Ream: edreamleo(a)gmail.com Leo Editor: https://leo-editor.github.io/leo-editor/ <http://leoeditor.com/> -----------------------------------------------------------------

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[ANN] Numba 0.59.0 and llvmlite 0.42.0
by Siu Kwan Lam 01 Feb '24

01 Feb '24

Hi all, I'm happy to announce the release of Numba 0.59.0 and llvmlite 0.42.0. More information can be found at: https://numba.discourse.group/t/ann-numba-0-59-0-and-llvmlite-0-42-0/2387 Siu

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PyCA cryptography 42.0.2 released
by Paul Kehrer 30 Jan '24

30 Jan '24

PyCA cryptography 42.0.2 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, X509, key derivation functions, and much more. We support Python 3.7+, and PyPy3 7.3.10+. Changelog (https://cryptography.io/en/latest/changelog/#v42-0-2): * Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.2.1. * Fixed an issue that prevented the use of Python buffer protocol objects in sign and verify methods on asymmetric keys. * Fixed an issue with incorrect keyword-argument naming with EllipticCurvePrivateKey.exchange(), X25519PrivateKey.exchange(), X448PrivateKey.exchange(), and DHPrivateKey.exchange(). -Paul Kehrer (reaperhulk)

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pytest-8.0.0
by Ran Benita 27 Jan '24

27 Jan '24

pytest-8.0.0 ======================================= The pytest team is proud to announce the 8.0.0 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: * Bruno Oliveira * Ran Benita Happy testing, The pytest Development Team

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ANN: Lea 4.0.0 released
by pie.denis＠skynet.be 27 Jan '24

27 Jan '24

Lea 4.0.0 is now released! --> https://pypi.org/project/lea/ Save the date: Live demo of Lea at FOSDEM'24, Brussels, Feb 4, 2024 (this is free!) --> https://fosdem.org/2024/schedule/track/python-devroom/ What is Lea? ----------------- Lea is a Python module for playing with discrete probability distributions in an intuitive way. This ranges from simple dice, coin flipping, random sampling . to Bayesian networks, Probabilistic Programming (PP), machine learning and symbolic computation. One salient feature of Lea is the ability to change the probability representation, viz. float, fractions, decimals, and symbols. Lea can be used for education, AI, PP, etc. Comprehensive tutorials are available online (see Wiki pages). For a 5 minutes tour, check out the poster presented at PROBPROG2020 conference: https://probprog.cc/2020/assets/posters/fri/69.pdf . What's new in Lea 4.0.0? --------------------------------- Here are the major changes since Lea 3.4.6: - optimization of conditional probabilities ('given' method), BN and fractions' display, - new "such_that" and "as_depending_on" methods to ease CPT creation (e.g. the Monty Hall problem) - persistent display options, including one line display of probability distributions, - fixes for mixing different probability representations, - indicators as method to call with parenthesis (e.g. x.mean() instead of x.mean), - extension of P, Pf, given_prob, is_any_of and is_none_of methods, - improved method documentation and code structure, - support to Python 3.8+ only (for Python 2.7+, you may still use Lea 3 --> https://pypi.org/project/lea/3.4.6/ ) For more information, you may check issues starting at #70 on https://bitbucket.org/piedenis/lea/issues . Acknowledgment ------------------------ Many, many thanks to Paul Moore, who has given the impetus for this new version! For several years, Paul has provided invaluable ideas, advice and contributions to the Lea project. To learn more... ---------------------- Lea on PyPI --> http://pypi.org/project/lea Lea project page --> http://bitbucket.org/piedenis/lea Documentation --> http://bitbucket.org/piedenis/lea/wiki/Home With the hope that Lea can make this universe less accidental, Pierre Denis

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ANN: NumExpr 2.9.0 released
by Francesc Alted 26 Jan '24

26 Jan '24

======================== Announcing NumExpr 2.9.0 ======================== Hi everyone, NumExpr 2.9.0 is a release offering support for latest versions of PyPy. The full test suite should pass now, at least for the Python 3.10 version. Thanks to @27rabbitlt for most of the work and @mgorny and @mattip for providing help and additional fixes. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.8.8 to 2.9.0 --------------------------- * Support for PyPy (see PRs #467 and #740). The full test suite should pass now, at least for the 3.10 version. Thanks to @27rabbitlt for most of the work and @mgorny and @mattip for providing help and additional fixes. Fixes #463. * Fixed more sanitizer issues (see PR #469). Thanks to @27rabbitlt. * Modernized the test suite to avoid some warnings. What's Numexpr? --------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data!

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Wing 10 Python IDE: AI assisted dev, Python 3.12, Poetry, and Ruff
by Wingware 25 Jan '24

25 Jan '24

Wing Python IDE version 10 has been released with AI assisted code suggestion, AI refactoring, and description-driven development. Wing 10 also adds support for Python 3.12 including faster debugging with the new PEP 669 low-impact monitoring API, Poetry for package management, Ruff for code warnings and reformatting, & more. Details: https://wingware.com/news/2024-01-19 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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mpdecimal-4.0.0 released
by Stefan Krah 25 Jan '24

25 Jan '24

Hi, mpdecimal-4.0.0 has been released: https://www.bytereef.org/mpdecimal/changelog.html https://www.bytereef.org/mpdecimal/download.html The release has been tested on a compile farm for five months on the following platforms: x86_64, i386, aarch64, ppc64, ppc64le, chrp, sparc64, sparc32, mips64, mips32, risc-v, Wasm Tested compilers: gcc, clang, icc, icx, xlc, ibm-clang, cl.exe, clang-cl, mingw-gcc, CompCert, emscripten Distributors of CPython are strongly encouraged to build CPython --with-system-libmpdec (as most of them already do). Additionally, distributors of Python-11 and Python-12 are advised to revert the implementation of the z-format specifier in _decimal.c. It contains a memory leak for large decimals and does not support the "EG" types. mpdecimal-4.0.0 automatically supports the z-format specifier without patches to _decimal.c. The following patch cleanly reverts b0b836b20cb56c225874a4a39ef895f89ab2970f and applies to both Python-11 and Python-12: https://www.bytereef.org/contrib/0001-py12-revert-z-format-specifier.patch For the main branch, the following patches are advised: # As above: https://www.bytereef.org/contrib/0001-main-revert-z-format-specifier.patch # Implement a catch-all fallback for _all_ future format specifiers that # are _temporarily_ unsupported in mpdecimal. The fallback is clean and # is zero-cost for the general common case: https://www.bytereef.org/contrib/0002-main-fallback-to-pydecimal-format.pat… # Fix a deprecation warning that is incorrectly triggered for a fill # character that contains 'N': https://www.bytereef.org/contrib/0003-main-fix-deprecation-warning.patch All patches are "BSD-2-clause, Copyright (c) Stefan Krah", same as mpdecimal and Modules/_decimal/*. Finally, due to the nature of multiphase initialization, its current implementation in the main branch slows down the pi benchmark compared to 3.9 by: --enable-gil: 31% --disable-gil: 47% Stefan Krah

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