Mailman 3 April 2022 - Python-announce-list

nptyping 2.0.0 has been released
by Ramon Hagenaars April 10, 2022

April 10, 2022

Hello all, It fills me with joy to announce that nptyping 2.0.0 is released! nptyping allows type hinting NumPy arrays with support for dynamic type checking. The most notable changes are: * Complete rewrite, extending numpy.typing and to be MyPy-friendly; * "Shape Expressions" that allow for a rich notation of NumPy array shapes; * Dropped support for Python 3.5 and 3.6. For the full history: https://github.com/ramonhagenaars/nptyping/blob/master/HISTORY.md Links -------------------- Source is on Github: https://github.com/ramonhagenaars/nptyping Available on PyPI: https://pypi.org/project/nptyping/ Documentation: https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md License (MIT): https://github.com/ramonhagenaars/nptyping/blob/master/LICENSE -- Ramon Hagenaars

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[RELEASE] The last Python 3.11 alpha (3.11.0a7) is available - Prepare for beta freeze
by Pablo Galindo Salgado April 6, 2022

April 6, 2022

Brrrrr..... do you feel that? That's the chill of *beta freeze* coming closer. Meanwhile, your friendly CPython release team doesn’t rest and we have prepared a shiny new release for you: Python 3.11.0a7. ************************************************************************************************************************************************************ Dear fellow core developer: This alpha is the last release before feature freeze (Friday, 2022-05-06), so make sure that all new features and PEPs are landed in the master branch before we release the first beta. Please, be specially mindfully to check the CI and the buildbots, maybe even using the test-with-buildbots label in GitHub before merging so the release team don’t need to fix a bunch of reference leaks or platform-specific problems on the first beta release. ************************************************************************************************************************************************************ *Go get the new alpha here:* https://www.python.org/downloads/release/python-3110a7/ **This is an early developer preview of Python 3.11** # Major new features of the 3.11 series, compared to 3.10 Python 3.11 is still in development. This release, 3.11.0a7 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 (2022-05-06) and, if necessary, may be modified or deleted up until the release candidate phase (2022-08-01). Please keep in mind that this is a preview release and its use is **not** recommended for production environments. Many new features for Python 3.11 are still being planned and written. Among the new major new features and changes so far: * [PEP 657](https://www.python.org/dev/peps/pep-0657/) -- Include Fine-Grained Error Locations in Tracebacks * [PEP 654](https://www.python.org/dev/peps/pep-0654/) -- Exception Groups and except* * [PEP 673](https://www.python.org/dev/peps/pep-0673/) -- Self Type * [PEP 646](https://www.python.org/dev/peps/pep-0646/)-- Variadic Generics * [PEP 680](https://www.python.org/dev/peps/pep-0680/)-- tomllib: Support for Parsing TOML in the Standard Library * [PEP 675](https://www.python.org/dev/peps/pep-0675/)-- Arbitrary Literal String Type * [PEP 655](https://www.python.org/dev/peps/pep-0655/)-- Marking individual TypedDict items as required or potentially-missing * [bpo-46752](https://bugs.python.org/issue46752)-- Introduce task groups to asyncio * The [Faster Cpython Project](https://github.com/faster-cpython) is already yielding some exciting results: this version of CPython 3.11 is ~12% faster on the geometric mean of the [PyPerformance benchmarks]( speed.python.org), compared to 3.10.0. * Hey, **fellow core developer,** if a feature you find important is missing from this list, let me know. The next pre-release of Python 3.11 will be 3.11.0b1, currently scheduled for Friday, 2022-05-06. # More resources * [Online Documentation](https://docs.python.org/3.11/) * [PEP 664](https://www.python.org/dev/peps/pep-0664/), 3.11 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 In mathematics, the Dirac delta distribution (δ distribution) is a generalized function or distribution over the real numbers, whose value is zero everywhere except at zero, and whose integral over the entire real line is equal to one. The current understanding of the impulse is as a linear functional that maps every continuous function to its value at zero. The delta function was introduced by physicist Paul Dirac as a tool for the normalization of state vectors. It also has uses in probability theory and signal processing. Its validity was disputed until Laurent Schwartz developed the theory of distributions where it is defined as a linear form acting on functions. Defining this distribution as a "function" as many physicist do is known to be one of the easier ways to annoy mathematicians :) # We hope you enjoy those 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. Your friendly release team, Pablo Galindo @pablogsal Ned Deily @nad Steve Dower @steve.dower

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ANN: eGenix Antispam Bot for Telegram 0.2.0
by eGenix Team April 4, 2022

April 4, 2022

________________________________________________________________________ ANNOUNCING eGenix Antispam Bot for Telegram Version 0.2.0 A simple, yet effective bot implementation to address Telegram signup spam. This announcement is also available on our web-site for online reading: https://www.egenix.com/company/news/eGenix-Antispam-Bot-for-Telegram-0.2.0-… ________________________________________________________________________ INTRODUCTION eGenix has long been running a local user group meeting in Düsseldorf called Python Meeting Düsseldorf and we are using a Telegram group for most of our communication. In the early days, the group worked well and we only had few spammers joining it, which we could well handle manually. More recently, this has changed dramatically. We are seeing between 2-5 spam signups per day, often at night. Furthermore, the signups accounts are not always easy to spot as spammers, since they often come with profile images, descriptions, etc. With the bot, we now have a more flexible way of dealing with the problem. Please see our project page for details and download links: https://www.egenix.com/library/telegram-antispam-bot/ ________________________________________________________________________ FEATURES * Low impact mode of operation: the bot tries to keep noise in the group to a minimum * Several challenge mechanisms to choose from, more can be added as needed * Flexible and easy to use configuration * Only needs a few MB of RAM, so can easily be put into a container or run on a Raspberry Pi * Can handle quite a bit of load due to the async implementation * Works with Python 3.9+ * MIT open source licensed ________________________________________________________________________ NEWS The 0.2.0 release is the first public release of the bot. It has been battle-tested in production for more than a month already and is proving to be a really useful tool to help with Telegram group administration. _______________________________________________________________________ INFORMATION About eGenix (http://www.egenix.com/): eGenix is a database focused software project, consulting and product company delivering expert services and professional quality products for companies, Python users and developers. About Python (http://www.python.org/): Python is an object-oriented Open Source programming language which runs on all modern platforms. By integrating ease-of-use, clarity in coding, enterprise application connectivity and rapid application design, Python establishes an ideal programming platform for today's IT challenges. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, Apr 04 2022) >>> Python Projects, Coaching and Support ... https://www.egenix.com/ >>> Python Product Development ... https://consulting.egenix.com/ ________________________________________________________________________ ::: We implement business ideas - efficiently in both time and costs ::: eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48 D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg Registered at Amtsgericht Duesseldorf: HRB 46611 https://www.egenix.com/company/contact/ https://www.malemburg.com/

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The Cython compiler is 20 years old today !
by Stefan Behnel April 3, 2022

April 3, 2022

Dear Python community, it's now 20 years since Greg Ewing posted his first announcement of Pyrex, the tool that is now known and used under the name Cython. https://mail.python.org/pipermail/python-list/2002-April/126661.html It was a long way, and I've written up some of it in a blog post: http://blog.behnel.de/posts/cython-is-20/ Today, if you're working on any kind of larger application in Python, you're likely to have some piece of code downloaded into your venv that was built with Cython. Or many of them. I'm proud of what we have achieved. And I'm happy to see and talk to the many, many users out there whom we could help to help their users get their work done. Happy anniversary, Cython! Stefan PS: The list of Cython implemented packages on PyPI is certainly incomplete, so please add the classifier to yours if it's missing. With almost 3000 dependent packages on Github (and almost 100,000 related repos), I'm sure we can crack the number of 1000 Cython built packages on PyPI as a birthday present. (No Spam, please, just honest classifiers.) https://pypi.org/search/?q=&o=-created&c=Programming+Language+%3A%3A+Cython https://github.com/cython/cython/network/dependents?dependent_type=PACKAGE

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ANN: pvlib-0.9.1 released
by Dr. Mark Alexander Mikofski PhD April 1, 2022

April 1, 2022

Dear Pythonistas and solar power enthusiasts, On behalf of the maintainers, we're happy to announce a new release of pvlib python: software for simulating performance of photovoltaic solar energy systems. *See what's new for v0.9.1:* * https://pvlib-python.readthedocs.io/en/stable/whatsnew.html *Releases are available from PyPI and the conda-forge channel:* * https://pypi.org/project/pvlib/ * https://anaconda.org/conda-forge/pvlib-python *Read the Documentation:* * https://pvlib-python.readthedocs.io/en/stable/index.html *Report issues & contribute:* * https://github.com/pvlib/pvlib-python *Highlights:* ** *Beautifully updated documentation theme that is easier to browse and navigate. Please share your feedback! * Implementation of pvlib.temperature.prilliman <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.tem…>, a transient weighted moving-average temperature model by Prilliman, *et al.*, to calculate back of module temperature from high-frequency sub-hourly irradiance input to account for different characteristic timescales between heat transfer and power conversion. * New infinite sheds model for either bifacial or monofacial modules, that calculates row-to-row shading and view factors for sky and ground reflected diffuse irradiance. Use pvlib.bifacial.infinite_sheds.get_irradiance <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.bif…> to calculate the plane of array irradiance, all its components on both front and back sides, and the total from both sides. *The maintainers thank you for using pvlib python!* -- Mark Mikofski, PhD (2005) *Fiat Lux*

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