Mailman 3 June 2021 - Python-announce-list

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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ANN: VisPy 0.7.0 Released
by David Hoese June 30, 2021

June 30, 2021

Hi all, VisPy 0.7.0 has just been released on PyPI and conda-forge. This is a big release that has been in the works for a while now. This release was made possible thanks to the Chan Zuckerberg Initiative's Essential Open Source Software for Science Grant. I also want to thank the folks in the Napari community (https://napari.org/) for helping us with new features, bug fixes, and testing. We've also had a lot of help from the original creators of VisPy including Almar Klein who has done a lot of work in this final stretch to get 0.7 out. Lastly, I want to thank Alex ("asnt" on GitHub) for volunteering his time and essentially rewriting the MeshVisual and adding a lot of new features to it. A few of the other new features are listed below. The full release notes including the users that contributed to the project can be found at https://github.com/vispy/vispy/blob/main/CHANGELOG.md. What's new in 0.7: * VolumeVisuals and ImageVisuals now support floating point textures * MeshVisual has been rewritten and shading logic separated out to a special "ShadingFilter" with much more control over the shading properties. * MeshVisual also has new filters like TextureFilter for adding textures to a mesh and WireframeFilter for showing the wireframe for your mesh. * A new MeshNormalsVisual for displaying the normals of a Mesh. * New website (more content coming soon) * Many many many bug fixes related to picking, depth/overlapping issues, memory leaks, and other performance improvements. * Code cleanup and removal of old vendored/bundled dependencies including a new grid solver based on kiwisolver. What is VisPy? -------------- VisPy is a Python library for interactive scientific visualization that is designed to be fast, scalable, and easy to use. VisPy leverages the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets. Applications of VisPy include: High-quality interactive scientific plots with millions of points. Direct visualization of real-time data. Fast interactive visualization of 3D models (meshes, volume rendering). OpenGL visualization demos. Scientific GUIs with fast, scalable visualization widgets (Qt or IPython notebook with WebGL). See the Gallery and many other example scripts on the VisPy website (http://vispy.org/). Upgrading --------- VisPy supports Python 3.6+ on Linux, Mac OSX, and Windows. VisPy's heavy use of the GPU means that users will need to have modern and up-to-date video drivers for their system. VisPy can use one of many backends, see the documentation for details. We strive to keep backwards compatibility with older versions of VisPy, but interfaces are still being designed to best serve our users. As such, some things may have changed that break your existing usage. See the Release Notes (linked below) for more information on what has changed and contact the VisPy developers for help with any problems you run into. Links ----- GitHub: https://github.com/vispy/vispy Website: http://vispy.org/ Gitter (for chat): https://gitter.im/vispy/vispy Mailing list: https://groups.google.com/forum/#!forum/vispy Release Notes: https://github.com/vispy/vispy/blob/main/CHANGELOG.md Contributing ------------ Help is always welcome. See our Contributor's Guide for information on how you can participate: https://vispy.org/dev_guide/contributor_guide.html Thanks, Dave

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Guppy 3/Heapy 3.1.1
by YiFei Zhu June 30, 2021

June 30, 2021

I am happy to announce Guppy 3 3.1.1 Guppy 3 is a library and programming environment for Python, currently providing in particular the Heapy subsystem, which supports object and heap memory sizing, profiling and debugging. It also includes a prototypical specification language, the Guppy Specification Language (GSL), which can be used to formally specify aspects of Python programs and generate tests and documentation from a common source. Guppy 3 is a fork of Guppy-PE, created by Sverker Nilsson for Python 2. The main news in this release: o Added linux aarch64 wheel builds o Added warning about pywin32 < 300 if it's imported, due to crash when traversing its heap. License: MIT The project homepage is on GitHub: https://github.com/zhuyifei1999/guppy3 Enjoy, YiFei Zhu

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ANN: SfePy 2021.2
by Robert Cimrman June 29, 2021

June 29, 2021

I am pleased to announce the release of SfePy 2021.2. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by finite element methods. It is distributed under the new BSD license. Home page: https://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - new sensitivity analysis terms - positive FE basis based on Bernstein polynomials - smaller memory footprint of terms with constant material parameters For full release notes see [1]. Cheers, Robert Cimrman [1] http://docs.sfepy.org/doc/release_notes.html#id1 --- Contributors to this release in alphabetical order: Robert Cimrman Vladimir Lukes

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EuroPython 2021: Volume Discount for Company Teams
by Marc-Andre Lemburg June 29, 2021

June 29, 2021

EuroPython 2021 offers special discounts on business tickets for company teams. * EuroPython Volume Discounts * https://ep2021.europython.eu/sponsor/packages/#Volume-Discount If you are going to attend the conference as a team, we offer the following volume discounts as a thank you: - 5 business tickets for the price of 4 - 10 business tickets for the price of 8 - 15 business tickets for the price of 11 In addition to the above offer, we'll also send out a mention on Twitter welcoming your team. Your company should email sponsoring(a)europython.eu to apply. You will then receive a coupon code and the welcome tweet will be handled by us. You can also visit the ticket shop to view the different ticket types and this year’s schedule to see the timetable for EuroPython 2021 in your local time zone. https://ep2021.europython.eu/registration/buy-tickets/ https://ep2021.europython.eu/schedule/ Quick Summary ------------- EuroPython 2021 will be run online from July 26 - August 1: - Two workshop/training days (July 26 - 27) - Three conference days (July 28 - 30) - Two sprint days (July 31 - August 1) The sessions will be scheduled to ensure they are also accessible for those in the Asian and Americas time zones. More infos are available on our website at https://ep2021.europython.eu/ Help spread the word -------------------- Please help us spread this message by sharing it on your social networks as widely as possible. Thank you ! Link to the blog post: https://blog.europython.eu/europython-2021-volume-discount-for-company-team… Tweet: https://twitter.com/europython/status/1409886833085980686 Enjoy, -- EuroPython 2021 Team https://ep2021.europython.eu/ https://www.europython-society.org/

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[RELEASE] Python 3.9.6, 3.8.11, 3.7.11, and 3.6.14 are now available
by Łukasz Langa June 28, 2021

June 28, 2021

Python 3.9.6 Get it here: https://www.python.org/downloads/release/python-396/ <https://www.python.org/downloads/release/python-396/> Python 3.9.6 is the newest major stable release of the Python programming language, and it contains many new features and optimizations. There’s been 146 commits since 3.9.5 which is a similar amount compared to 3.8 at the same stage of the release cycle. See the change log <https://docs.python.org/release/3.9.6/whatsnew/changelog.html> for details. On macOS, we encourage you to use the universal2 binary installer variant whenever possible. The legacy 10.9+ Intel-only variant will not be provided for Python 3.10 and the universal2 variant will become the default download for future 3.9.x releases. You may need to upgrade third-party components, like pip, to later versions once they are released. You may experience differences in behavior in IDLE and other Tk-based applications due to using the newer version of Tk. As always, if you encounter problems when using this installer variant, please check https://bugs.python.org <https://bugs.python.org/> for existing reports and for opening new issues. The next Python 3.9 maintenance release will be 3.9.7, currently scheduled for 2021-08-30. The First Security-Only Release of Python 3.8 Get it here: https://www.python.org/downloads/release/python-3811/ <https://www.python.org/downloads/release/python-3811/> Security content in this release contains three fixes. There’s also two fixes for 3.8.10 regressions. Take a look at the change log <https://docs.python.org/release/3.8.11/whatsnew/changelog.html> for details. According to the release calendar specified in PEP 569 <https://www.python.org/dev/peps/pep-0569/>, Python 3.8 is now in security fixes only stage of its life cycle: 3.8 branch only accepts security fixes and releases of those are made irregularly in source-only form until October 2024. Python 3.8 isn’t receiving regular bugfixes anymore, and binary installers are no longer provided for it. Python 3.8.10 was the last full bugfix release of Python 3.8 with binary installers. Security releases of 3.7.11 and 3.6.14 Get them here: https://www.python.org/downloads/release/python-3711/ <https://www.python.org/downloads/release/python-3711/> https://www.python.org/downloads/release/python-3614/ <https://www.python.org/downloads/release/python-3614/> Security content in those releases contains five fixes each. Check out the relevant change logs for 3.7.11 <https://docs.python.org/release/3.7.11/whatsnew/changelog.html> and 3.6.14 <https://docs.python.org/release/3.6.14/whatsnew/changelog.html> for details. Similarly to 3.8, Python 3.7 and 3.6 are now in security fixes only stage of their life cycle. Python 3.7 will be providing them until June 2023 while Python 3.6 ends its life in December 2021. We hope you enjoy the new releases Your friendly release team, Ned Deily @nad <https://discuss.python.org/u/nad> Steve Dower @steve.dower <https://discuss.python.org/u/steve.dower> Łukasz Langa @ambv <https://discuss.python.org/u/ambv>

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plum-py 0.7.0 release (Pack / Unpack Memory bytes)
by Dan Gass June 28, 2021

June 28, 2021

I am pleased to announce the availability of beta release 0.7.0 of the "plum-py" package. This pure Python package provides classes and utility functions to transform byte sequences into Python objects and back. While similar in purpose to Python's standard library ``struct`` module, this package provides a larger set of format specifiers and is extensible, allowing you to easily create complex ones of your own. Docs: https://plum-py.readthedocs.io/en/latest/index.html PyPi: https://pypi.org/project/plum-py/ Repo: https://gitlab.com/dangass/plum Install: pip install plum-py License: MIT With Regards, Dan Gass (dan.gass at gmail) Change List ========= - Backwards Incompatible - Change ``BitFields`` and ``Structure`` default behavior to automatically place bitfields from most significant to least significant position when lsb not specified. Add ``fieldorder`` metaclass keyword argument to support old behavior (e.g. specify ``fieldorder="least_to_most"``). - Change ``bitfield()`` and ``bitfield_member()`` to always default to ``int`` for ``typ`` (previously it defaulted to the type annotation if present, otherwise to ``int``; this change is in preparation for supporting Python 3.10) - Backwards Compatible - Add ``SizedX`` transform properties (e.g. ``fmt``, ``size_fmt``, etc.) - Fix ``BitFields`` to allow `nbytes` to allow any size (previously it had to be a power of two).

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NetworkX 2.6rc2 released
by Jarrod Millman June 25, 2021

June 25, 2021

I am happy to announce the second **release candidate** for NetworkX 2.6! This release has a larger than normal number of changes in preparation for the upcoming 3.0 release. The current plan is to release 2.6 soon, 2.7 near the end of summer, and 3.0 near the end of the year. The focus of the 3.0 release is on addressing years of technical debt and making it easier to contribute. The 2.6 release deprecates over 30 functions. It also makes major changes to our default dependencies. We no longer depend on the "decorator" library. More importantly, NumPy, SciPy, Matplotlib, and Pandas are now default requirements. While we've made these core libraries of the scientific Python ecosystem default dependencies, much of NetworkX still works without these libraries and we expect that to continue. Be assured that we test NetworkX with and without the dependencies, so if you do **not** use functions that depend on external libraries you can install NetworkX using pip with the `--no-deps` flag. This release supports Python 3.7-3.9 and contains many new features. It is the result of almost a year of work with over 300 pull requests by over 80 contributors. If you have code that imports NetworkX, please take some time to check that you are able to update your code to work with the new release. The draft 2.6 release announcement is here: https://networkx.org/documentation/latest/release/release_dev.html Please try out the pre-release and let us know about any problems you find. Since this is a pre-release, pip won't automatically install it. So $ pip install networkx will still install networkx-2.5.1. But $ pip install --pre networkx will install networkx-2.6rc2. If you already have NetworkX installed then you need to do $ pip install --pre --upgrade networkx For more information, please visit our website - http://networkx.org and our gallery of examples - https://networkx.org/documentation/latest/auto_examples/index.html Best regards, Jarrod

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EuroPython 2021: Free tickets for Python Core Developers
by Marc-Andre Lemburg June 25, 2021

June 25, 2021

In 2019, we have set up the Guido van Rossum Core Developer Grant, to make it easy for Python Core Developers to attend EuroPython, but also to give something back to the core team and add a perk to make core development more attractive. If you are a core developer, please check our grant page for details on how to apply: https://www.europython-society.org/core-grant PS: If you are a core developer and want to organize a core sprint, workshop, language summit or similar event at EuroPython 2021, please get in touch with our program workgroup soon, so that we can help arrange things: program(a)europython.eu PPS: If you want to become a core developer, please have a look at the Python Dev Guide: https://devguide.python.org/coredev/ Quick Summary ------------- EuroPython 2021 will be run online from July 26 - August 1: - Two workshop/training days (July 26 - 27) - Three conference days (July 28 - 30) - Two sprint days (July 31 - August 1) The sessions will be scheduled to ensure they are also accessible for those in the Asian and Americas time zones. More infos are available on our website at https://ep2021.europython.eu/ Help spread the word -------------------- Please help us spread this message by sharing it on your social networks as widely as possible. Thank you ! Link to the blog post: https://blog.europython.eu/europython-2021-schedule-published/ Tweet: https://twitter.com/europython/status/1405538503048327169 Enjoy, -- EuroPython 2021 Team https://ep2021.europython.eu/ https://www.europython-society.org/

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NumPy 1.21.0 release
by Charles R Harris June 23, 2021

June 23, 2021

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.21.0. The highlights are - continued SIMD work covering more functions and platforms, - initial work on the new dtype infrastructure and casting, - universal2 wheels for Python 3.8 and Python 3.9 on Mac, - improved documentation, - improved annotations, - new ``PCG64DXSM`` bitgenerator for random numbers. This NumPy release is the result of 581 merged pull requests contributed by 175 people. The Python versions supported for this release are 3.7-3.9, support for Python 3.10 will be added after Python 3.10 is released. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.21.0/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.21.0>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 175 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @8bitmp3 + - @DWesl + - @Endolith - @Illviljan + - @Lbogula + - @Lisa + - @Patrick + - @Scian + - @h-vetinari + - @h6197627 + - @jbCodeHub + - @legoffant + - @sfolje0 + - @tautaus + - @yetanothercheer + - Abhay Raghuvanshi + - Adrian Price-Whelan + - Aerik Pawson + - Agbonze Osazuwa + - Aitik Gupta + - Al-Baraa El-Hag - Alex Henrie - Alexander Hunt + - Alizé Papp + - Allan Haldane - Amarnath1904 + - Amrit Krishnan + - Andras Deak - AngelGris + - Anne Archibald - Anthony Vo + - Antony Lee - Atharva-Vidwans + - Ayush Verma + - Bas van Beek - Bharat Raghunathan - Bhargav V + - Brian Soto - Carl Michal + - Charles Harris - Charles Stern + - Chiara Marmo + - Chris Barnes + - Chris Vavaliaris - Christina Hedges + - Christoph Gohlke - Christopher Dahlin + - Christos Efstathiou + - Chunlin Fang - Constanza Fierro + - Daniel Evans + - Daniel Montes + - Dario Mory + - David Carlier + - David Stansby - Deepyaman Datta + - Derek Homeier - Dong Keun Oh + - Dylan Cutler + - Eric Larson - Eric Wieser - Eva Jau + - Evgeni Burovski - FX Coudert + - Faris A Chugthai + - Filip Ter + - Filip Trojan + - François Le Lay + - Ganesh Kathiresan - Giannis Zapantis + - Giulio Procopio + - Greg Lucas + - Hollow Man + - Holly Corbett + - I-Shen Leong + - Inessa Pawson - Isabela Presedo-Floyd - Ismael Jimenez + - Isuru Fernando - Jakob Jakobson - James Gerity + - Jamie Macey + - Jasmin Classen + - Jody Klymak + - Joseph Fox-Rabinovitz - Jérome Eertmans + - Jérôme Kieffer + - Kamil Choudhury + - Kasia Leszek + - Keller Meier + - Kenichi Maehashi - Kevin Sheppard - Kulin Seth + - Kumud Lakara + - Laura Kopf + - Laura Martens + - Leo Singer + - Leonardus Chen + - Lima Tango + - Lumir Balhar + - Maia Kaplan + - Mainak Debnath + - Marco Aurélio da Costa + - Marta Lemanczyk + - Marten van Kerkwijk - Mary Conley + - Marysia Winkels + - Mateusz Sokół + - Matt Haberland - Matt Hall + - Matt Ord + - Matthew Badin + - Matthias Bussonnier - Matthias Geier - Matti Picus - Matías Ríos + - Maxim Belkin + - Melissa Weber Mendonça - Meltem Eren Copur + - Michael Dubravski + - Michael Lamparski - Michal W. Tarnowski + - Michał Górny + - Mike Boyle + - Mike Toews - Misal Raj + - Mitchell Faas + - Mukulikaa Parhari + - Neil Girdhar + - Nicholas McKibben + - Nico Schlömer - Nicolas Hug + - Nilo Kruchelski + - Nirjas Jakilim + - Ohad Ravid + - Olivier Grisel - Pamphile ROY + - Panos Mavrogiorgos + - Patrick T. Komiske III + - Pearu Peterson - Peter Hawkins + - Raghuveer Devulapalli - Ralf Gommers - Raúl Montón Pinillos + - Rin Arakaki + - Robert Kern - Rohit Sanjay - Roman Yurchak - Ronan Lamy - Ross Barnowski - Ryan C Cooper - Ryan Polley + - Ryan Soklaski - Sabrina Simao + - Sayed Adel - Sebastian Berg - Shen Zhou + - Stefan van der Walt - Sylwester Arabas + - Takanori Hirano - Tania Allard + - Thomas J. Fan + - Thomas Orgis + - Tim Hoffmann - Tomoki, Karatsu + - Tong Zou + - Touqir Sajed + - Tyler Reddy - Wansoo Kim - Warren Weckesser - Weh Andreas + - Yang Hau - Yashasvi Misra + - Zolboo Erdenebaatar + - Zolisa Bleki Cheers, Charles Harris

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