Python-announce-list

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ANN: NumExpr 2.8.3
by Robert McLeod 25 Jun '22

25 Jun '22

Hi everyone, Please find here another maintenance release of NumExpr. Support for Python 3.6 has been dropped to enable support for NumPy 1.23 (and by extension Python 3.11 when it is released). Wheels for ARM64 multilinux should be available again after troubles with GitHub Actions and Apple Silicon wheels are also now available on PyPi for download. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.8.1 to 2.8.2 --------------------------- * Support for Python 3.6 has been dropped due to the need to substitute the flag `NPY_ARRAY_WRITEBACKIFCOPY` for `NPY_ARRAY_UPDATEIFCOPY`. This flag change was initiated in NumPy 1.14 and finalized in 1.23. The only changes were made to cases where an unaligned constant was passed in with a pre-allocated output variable: ``` x = np.empty(5, dtype=np.uint8)[1:].view(np.int32) ne.evaluate('3', out=x) ``` We think the risk of issues is very low, but if you are using NumExpr as a expression evaluation tool you may want to write a test for this edge case. * Thanks to Matt Einhorn (@matham) for improvements to the GitHub Actions build process to add support for Apple Silicon and aarch64. * Thanks to Biswapriyo Nath (@biswa96) for a fix to allow `mingw` builds on Windows. * There have been some changes made to not import `platform.machine()` on `sparc` but it is highly advised to upgrade to Python 3.9+ to avoid this issue with the Python core package `platform`. 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! -- Robert McLeod robbmcleod(a)gmail.com robert.mcleod(a)hitachi-hightech.com

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NumPy 1.23.0 released
by Charles R Harris 22 Jun '22

22 Jun '22

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.23.0. The NumPy 1.23.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations. The highlights are: - Implementation of ``loadtxt`` in C, greatly improving its performance. - Exposing DLPack at the Python level for easy data exchange. - Changes to the promotion and comparisons of structured dtypes. - Improvements to f2py. The Python versions supported in this release are 3.8-3.10, 3.11 will be supported when it comes out. Note that 32 bit wheels are only provided for Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit OpenBLAS. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.23.0/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.23.0>. *Contributors* A total of 151 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @DWesl - @GalaxySnail + - @code-review-doctor + - @h-vetinari - Aaron Meurer - Alexander Shadchin - Alexandre de Siqueira - Allan Haldane - Amrit Krishnan - Andrei Batomunkuev - Andrew J. Hesford + - Andrew Murray + - Andrey Andreyevich Bienkowski + - André Elimelek de Weber + - Andy Wharton + - Arryan Singh - Arushi Sharma - Bas van Beek - Bharat Raghunathan - Bhavuk Kalra + - Brigitta Sipőcz - Brénainn Woodsend + - Burlen Loring + - Caio Agiani + - Charles Harris - Chiara Marmo - Cornelius Roemer + - Dahyun Kim + - Damien Caliste - David Prosin + - Denis Laxalde - Developer-Ecosystem-Engineering - Devin Shanahan + - Diego Wang + - Dimitri Papadopoulos Orfanos - Ding Liu + - Diwakar Gupta + - Don Kirkby + - Emma Simon + - Eric Wieser - Evan Miller + - Evgeni Burovski - Evgeny Posenitskiy + - Ewout ter Hoeven + - Felix Divo - Francesco Andreuzzi + - Ganesh Kathiresan - Gaëtan de Menten - Geoffrey Gunter + - Hans Meine - Harsh Mishra + - Henry Schreiner - Hood Chatham + - I-Shen Leong - Ilhan Polat - Inessa Pawson - Isuru Fernando - Ivan Gonzalez + - Ivan Meleshko + - Ivan Yashchuk + - Janus Heide + - Jarrod Millman - Jason Thai + - Jeremy Volkman + - Jesús Carrete Montaña + - Jhong-Ken Chen (陳仲肯) + - John Kirkham - John-Mark Gurney + - Jonathan Deng + - Joseph Fox-Rabinovitz - Jouke Witteveen + - Junyan Ou + - Jérôme Richard + - Kassian Sun + - Kazuki Sakamoto + - Kenichi Maehashi - Kevin Sheppard - Kilian Lieret + - Kushal Beniwal + - Leo Singer - Logan Thomas + - Lorenzo Mammana + - Margret Pax - Mariusz Felisiak + - Markus Mohrhard + - Mars Lee - Marten van Kerkwijk - Masamichi Hosoda + - Matthew Barber - Matthew Brett - Matthias Bussonnier - Matthieu Darbois - Matti Picus - Melissa Weber Mendonça - Michael Burkhart + - Morteza Mirzai + - Motahhar Mokf + - Muataz Attaia + - Muhammad Motawe + - Mukulika Pahari - Márton Gunyhó + - Namami Shanker + - Nihaal Sangha + - Niyas Sait - Omid Rajaei + - Oscar Gustafsson + - Ovee Jawdekar + - P. L. Lim + - Pamphile Roy + - Pantelis Antonoudiou + - Pearu Peterson - Peter Andreas Entschev - Peter Hawkins - Pierre de Buyl - Pieter Eendebak + - Pradipta Ghosh + - Rafael Cardoso Fernandes Sousa + - Raghuveer Devulapalli - Ralf Gommers - Raphael Kruse - Raúl Montón Pinillos - Robert Kern - Rohit Goswami - Ross Barnowski - Ruben Garcia + - Sadie Louise Bartholomew + - Saswat Das + - Sayed Adel - Sebastian Berg - Serge Guelton - Simon Surland Andersen + - Siyabend Ürün + - Somasree Majumder + - Soumya + - Stefan van der Walt - Stefano Miccoli + - Stephan Hoyer - Stephen Worsley + - Tania Allard - Thomas Duvernay + - Thomas Green + - Thomas J. Fan - Thomas Li + - Tim Hoffmann - Ting Sun + - Tirth Patel - Toshiki Kataoka - Tyler Reddy - Warren Weckesser - Yang Hau - Yoon, Jee Seok + Cheers, Charles Harris

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PyCA cryptography 37.0.3 (and then yanked)
by Alex Gaynor 22 Jun '22

22 Jun '22

Yesterday, PyCA cryptography 37.0.3 was released to PyPI. Today, we yanked the release from PyPI due to a regression in OpenSSL that was producing heap corruption for users. 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 3.6+, and PyPy3. Changelog (https://cryptography.io/en/latest/changelog/#v37-0-3) * Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.0.4. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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Wing Python IDE version 8.3.2
by Wingware 21 Jun '22

21 Jun '22

Wing 8.3.2 fixes several code intelligence issues for f-string expressions, avoids problems when using ~ or a non-default Base Directory with remote hosts, allows running a pytest parameterized test with a float value, adds the option Use Fixed Width Font for Output to the Testing tool's right-click context menu, scrolls correctly to the current line in version control blame/praise output, fixes intermittent PyQt & PySide autocompletion problems, and makes a number of other usability improvements. Details: https://wingware.com/news/2022-06-17 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 deep code analysis provides 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 very simplified free Python IDE for beginners (omits many features). Learn more at https://wingware.com/

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ANN: django-compat-patcher 0.11 released
by Pascal Chambon 17 Jun '22

17 Jun '22

Hello, it's with great pleasure that I announce the release of *django-compat-patcher v0.11* This release extends compatibility fixers so that you can painlessly upgrade your project to *Django 4.0*, without breaking your existing pluggable-apps ecosystem. -- DCP is a companion package which adds backwards/forwards compatibility patches to Django, so that your dependencies don't get broken by trivial changes made to the core of the framework. It injects compatibility shims like function/attribute aliases, restores data structures which were replaced by stdlib ones, extends the behaviour of callables (eg. referring to a view by object, by name, or by dotted path), and can even preserve deprecated modules as “import aliases”. This allows to you upgrade your dependencies one at a time, to fork/patch them when you have a proper opportunity, and most importantly to not get stuck, when deadlines are tight. Technically, DCP manages a set of “fixers”, small utilities which advertise the change that they make, the versions of Django that they support, and which monkey-patch the Django framework on demand. Beware, DCP is aimed at project maintainers. If you are developing a reusable Django application, you can’t expect all your users to integrate DCP as well. In this case, to support a wide range of Django versions, you should rather use a toolkit like Django-compat <https://github.com/arteria/django-compat>. You may think of DCP as a “runtime 2to3 for Django’, wherease Django-Compat is rather a “six module for Django”. Feel free to contribute new fixers, for backwards or forwards compatibility, depending on the compatibility troubles you encounter on your projects https://pypi.org/project/django-compat-patcher/ https://github.com/pakal/django-compat-patcher regards, Pakal

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ANN: friendly_idle is available
by André 16 Jun '22

16 Jun '22

friendly_idle is a modified version of IDLE that incorporates friendly/friendly-traceback to give more helpful tracebacks. You can see some screenshot in a recent blog post: https://aroberge.blogspot.com/2022/06/friendly-idle.html Since that blog post was written, the only remaining issue that was mentioned has been solved. You can install it using "python -m pip install friendly_idle". Then launch it from a terminal using "friendly_idle". If you are not familiar with friendly/friendly-traceback, you might want to consult https://friendly-traceback.github.io/docs/index.html. friendly_idle's version is currently listed as "0.3.2" - however, it already does everything I had planned for and could have called it "version 1.0". friendly_idle assumes that IDLE is already installed and "monkeypatches" it as it launches. It requires a version of IDLE that support excepthook(): Python 3.8.10 or greater Python 3.9.5 or greater Python 3.10.x It has not been tested with Python 3.11 as friendly-traceback has not yet been made 100% compatible with the latest 3.11 release. It might still work, but would fail to offer useful help in some cases. André Roberge

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CodraFT v2.0.2
by Pierre Raybaut 16 Jun '22

16 Jun '22

Hi all, CodraFT is a new open-source generic signal and image processing software, based on Python, Qt, NumPy, SciPy and others: https://codra-ingenierie-informatique.github.io/CodraFT/ I am pleased to announce that CodraFT v2.0.2 has been released. This is the first public release of version 2, compatible with Python 3.7+. CodraFT provides signal/image processing and visualisation features, and is available either as a stand-alone application or may be embedded in your own Python-Qt application thanks to advanced automation capabilities. CodraFT also has many I/O features, supporting a lot of images format as well as HDF5 (for saving/loading CodraFT workspace or importing any other data file). Enjoy! -- Always a pleasure to share with Python community, since 2008. Pierre Raybaut

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python-oracledb 1.0.1
by Anthony Tuininga 14 Jun '22

14 Jun '22

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 is intended to eventually replace cx_Oracle. Where do I get it? https://pypi.org/project/oracledb/1.0.1/ 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 reported after the release of 1.0.0. 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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NumPy 1.23.0rc3 released
by Charles R Harris 11 Jun '22

11 Jun '22

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.23.0rc2. The NumPy 1.23.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations. The highlights are: - Implementation of ``loadtxt`` in C, greatly improving its performance. - Exposing DLPack at the Python level for easy data exchange. - Changes to the promotion and comparisons of structured dtypes. - Improvements to f2py. The Python versions supported in this release are 3.8-3.10, 3.11 will be supported when it comes out. Note that 32 bit wheels are only provided for Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit OpenBLAS. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.23.0rc3/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.23.0rc3>. *Contributors* A total of 151 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @DWesl - @GalaxySnail + - @code-review-doctor + - @h-vetinari - Aaron Meurer - Alexander Shadchin - Alexandre de Siqueira - Allan Haldane - Amrit Krishnan - Andrei Batomunkuev - Andrew J. Hesford + - Andrew Murray + - Andrey Andreyevich Bienkowski + - André Elimelek de Weber + - Andy Wharton + - Arryan Singh - Arushi Sharma - Bas van Beek - Bharat Raghunathan - Bhavuk Kalra + - Brigitta Sipőcz - Brénainn Woodsend + - Burlen Loring + - Caio Agiani + - Charles Harris - Chiara Marmo - Cornelius Roemer + - Dahyun Kim + - Damien Caliste - David Prosin + - Denis Laxalde - Developer-Ecosystem-Engineering - Devin Shanahan + - Diego Wang + - Dimitri Papadopoulos Orfanos - Ding Liu + - Diwakar Gupta + - Don Kirkby + - Emma Simon + - Eric Wieser - Evan Miller + - Evgeni Burovski - Evgeny Posenitskiy + - Ewout ter Hoeven + - Felix Divo - Francesco Andreuzzi + - Ganesh Kathiresan - Gaëtan de Menten - Geoffrey Gunter + - Hans Meine - Harsh Mishra + - Henry Schreiner - Hood Chatham + - I-Shen Leong - Ilhan Polat - Inessa Pawson - Isuru Fernando - Ivan Gonzalez + - Ivan Meleshko + - Ivan Yashchuk + - Janus Heide + - Jarrod Millman - Jason Thai + - Jeremy Volkman + - Jesús Carrete Montaña + - Jhong-Ken Chen (陳仲肯) + - John Kirkham - John-Mark Gurney + - Jonathan Deng + - Joseph Fox-Rabinovitz - Jouke Witteveen + - Junyan Ou + - Jérôme Richard + - Kassian Sun + - Kazuki Sakamoto + - Kenichi Maehashi - Kevin Sheppard - Kilian Lieret + - Kushal Beniwal + - Leo Singer - Logan Thomas + - Lorenzo Mammana + - Margret Pax - Mariusz Felisiak + - Markus Mohrhard + - Mars Lee - Marten van Kerkwijk - Masamichi Hosoda + - Matthew Barber - Matthew Brett - Matthias Bussonnier - Matthieu Darbois - Matti Picus - Melissa Weber Mendonça - Michael Burkhart + - Morteza Mirzai + - Motahhar Mokf + - Muataz Attaia + - Muhammad Motawe + - Mukulika Pahari - Márton Gunyhó + - Namami Shanker + - Nihaal Sangha + - Niyas Sait - Omid Rajaei + - Oscar Gustafsson + - Ovee Jawdekar + - P. L. Lim + - Pamphile Roy + - Pantelis Antonoudiou + - Pearu Peterson - Peter Andreas Entschev - Peter Hawkins - Pierre de Buyl - Pieter Eendebak + - Pradipta Ghosh + - Rafael Cardoso Fernandes Sousa + - Raghuveer Devulapalli - Ralf Gommers - Raphael Kruse - Raúl Montón Pinillos - Robert Kern - Rohit Goswami - Ross Barnowski - Ruben Garcia + - Sadie Louise Bartholomew + - Saswat Das + - Sayed Adel - Sebastian Berg - Serge Guelton - Simon Surland Andersen + - Siyabend Ürün + - Somasree Majumder + - Soumya + - Stefan van der Walt - Stefano Miccoli + - Stephan Hoyer - Stephen Worsley + - Tania Allard - Thomas Duvernay + - Thomas Green + - Thomas J. Fan - Thomas Li + - Tim Hoffmann - Ting Sun + - Tirth Patel - Toshiki Kataoka - Tyler Reddy - Warren Weckesser - Yang Hau - Yoon, Jee Seok + Cheers, Charles Harris

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[RELEASE] Python 3.10.5 is available
by Pablo Galindo Salgado 06 Jun '22

06 Jun '22

The latest bugfix drop for Python 3.10 is here: Python 3.10.5. This release packs more than 230 bugfixes and docs changes, so you surely want to update :) You can get it here: https://www.python.org/downloads/release/python-3105/ ## This is the fourth maintenance release of Python 3.10 Python 3.10.5 is the newest major release of the Python programming language, and it contains many new features and optimizations. # Major new features of the 3.10 series, compared to 3.9 Among the new major new features and changes so far: * [PEP 623](https://www.python.org/dev/peps/pep-0623/) -- Deprecate and prepare for the removal of the wstr member in PyUnicodeObject. * [PEP 604](https://www.python.org/dev/peps/pep-0604/) -- Allow writing union types as X | Y * [PEP 612](https://www.python.org/dev/peps/pep-0612/) -- Parameter Specification Variables * [PEP 626](https://www.python.org/dev/peps/pep-0626/) -- Precise line numbers for debugging and other tools. * [PEP 618 ](https://www.python.org/dev/peps/pep-0618/) -- Add Optional Length-Checking To zip. * [bpo-12782](https://bugs.python.org/issue12782): Parenthesized context managers are now officially allowed. * [PEP 632 ](https://www.python.org/dev/peps/pep-0632/) -- Deprecate distutils module. * [PEP 613 ](https://www.python.org/dev/peps/pep-0613/) -- Explicit Type Aliases * [PEP 634 ](https://www.python.org/dev/peps/pep-0634/) -- Structural Pattern Matching: Specification * [PEP 635 ](https://www.python.org/dev/peps/pep-0635/) -- Structural Pattern Matching: Motivation and Rationale * [PEP 636 ](https://www.python.org/dev/peps/pep-0636/) -- Structural Pattern Matching: Tutorial * [PEP 644 ](https://www.python.org/dev/peps/pep-0644/) -- Require OpenSSL 1.1.1 or newer * [PEP 624 ](https://www.python.org/dev/peps/pep-0624/) -- Remove Py_UNICODE encoder APIs * [PEP 597 ](https://www.python.org/dev/peps/pep-0597/) -- Add optional EncodingWarning [bpo-38605](https://bugs.python.org/issue38605): `from __future__ import annotations` ([PEP 563](https://www.python.org/dev/peps/pep-0563/)) used to be on this list in previous pre-releases but it has been postponed to Python 3.11 due to some compatibility concerns. You can read the Steering Council communication about it [here]( https://mail.python.org/archives/list/python-dev@python.org/thread/CLVXXPQ2…) to learn more. # More resources * [Changelog](https://docs.python.org/3.10/whatsnew/changelog.html#changelog ) * [Online Documentation](https://docs.python.org/3.10/) * [PEP 619](https://www.python.org/dev/peps/pep-0619/), 3.10 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 Strange quarks are the third lightest quarks, which are subatomic particles that are so small, they are believed to be the fundamental particles, and not further divisible. Like down quarks, strange quarks have a charge of -1/3. Like all fermions (which are particles that can not exist in the same place at the same time), strange quarks have a spin of 1/2. What makes strange quarks different from down quarks–apart from having 25 times the mass of down quarks–is that they have something that scientists call "strangeness." Strangeness is basically a resistance to decay against strong force and electromagnetism. This means that any particle that contains a strange quark can not decay due to strong force (or electromagnetism), but instead with the much slower weak force. It was believed that this was a 'strange' method of decay, which is why the scientists gave the particles that name. # We hope you 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. https://www.python.org/psf/ Your friendly release team, Ned Deily @nad https://discuss.python.org/u/nad Steve Dower @steve.dower https://discuss.python.org/u/steve.dower Pablo Galindo Salgado @pablogsal https://discuss.python.org/u/pablogsal

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Python-announce-list