Mailman 3 March 2025 - Python-announce-list

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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17ᵗʰ Advanced Scientific Programming in Python in Plovdiv, Bulgaria, 21–28 September, 2025
by Tiziano Zito March 24, 2025

March 24, 2025

ASPP2025: 17ᵗʰ Advanced Scientific Programming in Python Summer School ====================================================================== https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are interactive and allow students to acquire direct hands-on experience with the topics. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. Python is the standard tool for the programming scientist due to clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization. This school is targeted at PhD students, postdocs and more senior researchers from all areas of science. Competence in Python or in another language such as Java, JavaScript, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and git or another version control system is assumed. Participants without any prior experience with Python or git should work through the proposed introductory material before the course. We care for diversity and inclusion, and strive for a welcoming atmosphere to programming scientists of all levels. In particular, we have focused on recruiting an international and gender-balanced pool of students. Date & Location =============== 21–28 September, 2025. Plovdiv, Bulgaria. Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 1 June, 2025. There will be no deadline extension, so be sure to apply on time. Invitations and notifications of rejection will be sent by Sunday 15 June, 2025. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Large-scale collaborative scientific code development with git and code forges • Testing and debugging scientific code • Organizing, documenting, and distributing scientific code • Data in scientific programming • Scientific programming patterns in Python • What every scientist should know about computer architecture • Writing parallel applications in Python • Programming in teams Faculty ======= • Aitor Morales-Gregorio, Faculty of Mathematics and Physics, Charles University, Prague, Czechia • Guillermo Aguilar, Department of Computational Psychology, Technische Universität Berlin, Germany • Jenni Rinker, Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark • Lisa Schwetlick, Laboratory of Psychophysics, EPFL, Lausanne, Switzerland • Pamela Hathway, YPOG, Berlin/Nürnberg, Germany • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Tiziano Zito, innoCampus, Technische Universität Berlin, Germany • Victoria Shevchenko, Inria Saclay Palaiseau and Université Paris Cité, France • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw, Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, innoCampus, Technische Universität Berlin, Germany Organization team in Plovdiv: • Maya Ivanova Nikolova, MNKnowledge, Sofia, Bulgaria • Verjinia Metodieva, Charité – Universitätsmedizin Berlin, ECN, Germany Sponsors ======== ASPP2025 is hosted by the Technical University of Sofia, Plovdiv branch. The organization is done in collaboration with MNKnowledge and with the financial and institutional support of the Tübingen AI Center. Website: https://aspp.school Contact: info(a)aspp.school

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Python Extension Patterns v0.3
by Paul Ross March 20, 2025

March 20, 2025

I am pleased to announce v0.3 of "Python Extension Patterns", the guide to writing Python C/C++ extensions. *Added Chapters* - "Containers and Reference Counts" which corrects the Python documentation where that is wrong, misleading or missing. - "Struct Sequences (namedtuple in C)" which corrects the Python documentation where that is wrong, misleading or missing. - "Context Managers" with practical C code examples. - "Watchers" with practical examples for dictionary watchers (Python 3.12+). - "Installation" for the project. - "Source Code Layout" for the project. *Changed Chapters* - Update the "Homogeneous Python Containers and C++" chapter. - Expand the "Memory Leaks" chapter. - Extended the "Logging" chapter to show how to access the CPython Frame from C. - Add "Emulating Sequence Types" to the "Creating New Types" chapter. - Expand the Index. *Other* - Python versions supported: 3.9, 3.10, 3.11, 3.12, 3.13. - Development Status :: 5 - Production/Stable - The documentation content, example and test code has roughly doubled since version 0.2.2. - PDF Documentation is 339 pages. *Project Links* - Source is on GitHub: https://github.com/paulross/PythonExtensionPatterns - Documentation on Read the Docs http://pythonextensionpatterns.readthedocs.org/en/latest/index.html - Project is on PyPi: https://pypi.org/project/cPyExtPatt Paul Ross

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[RELEASE] pyspread 2.4
by Martin Manns March 19, 2025

March 19, 2025

pyspread 2.4 ============ This release adds basic Excel syntax for cell code. New features: * If a cell code starts with `=` then it is interpreted as Excel syntax (optional dependency `pycel` required). Limitations of `pycel` apply. * New action insert and shift/delete and shift cells that shift below/right cells. * Cell formats can now be set to defaults, which allows to let a cell follow the OS theme, e.g. for a dark theme, the cell background of the black, while it may be white for the identical pys file on light theme. * Files can now be opened via drag 'n drop Bug fixes: * Several bugs that appear with Python 3.13 fixed, e.g. printing, cell referencing, grid resizing * The entry line is now updated on a table change * Globals are now cleared after initializing the grid About pyspread ============== Pyspread is a non-traditional spreadsheet that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet application. Pyspread is free software. It is released under the GPL v3. Project website: https://pyspread.gitlab.io/ Download page: https://pypi.org/project/pyspread/ Signature for tarball: https://gitlab.com/pyspread/downloads/-/raw/master/releases/pyspread-2.4.ta… Source code: https://gitlab.com/pyspread/pyspread Dependencies ============ Mandatory: * Python (≥ 3.6) * numpy (>=1.1) * PyQt6 (≥ 6.5, requires PyQt6.Svg) * setuptools (>=40.0) * markdown2 (>= 2.3) Recommended: * matplotlib (>=1.1.1) * pyenchant (>=1.1) * pip (>=18) * python-dateutil (>= 2.7.0) * py-moneyed (>=2.0) * rpy2 (>=3.4, requires R installation) * plotnine (>=0.8) * libvoikko (>=4.3) * nuspell (>=5.1) * hspell (>= 1.4) * ggplot2 (>=3.4) * pycel (>=1.0b30), * openpyxl (>=3.0.7) For building the apidocs with Sphinx see apidocs/requirements.txt Enjoy Martin

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NumPy 2.2.4 released
by Charles R Harris March 16, 2025

March 16, 2025

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.2.3. NumPy 2.2.4 is a patch release that fixes bugs found after the 2.2.3 release. There are a large number of typing improvements, the rest of the changes are the usual mix of bug fixes and platform maintenance. This release supports Python 3.10-3.13. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.2.4>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v2.2.4>. *Contributors* A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Abhishek Kumar - Andrej Zhilenkov - Andrew Nelson - Charles Harris - Giovanni Del Monte - Guan Ming(Wesley) Chiu + - Jonathan Albrecht + - Joren Hammudoglu - Mark Harfouche - Matthieu Darbois - Nathan Goldbaum - Pieter Eendebak - Sebastian Berg - Tyler Reddy - lvllvl + *Pull requests merged* A total of 17 pull requests were merged for this release. - #28333: MAINT: Prepare 2.2.x for further development. - #28348: TYP: fix positional- and keyword-only params in astype, cross... - #28377: MAINT: Update FreeBSD version and fix test failure - #28379: BUG: numpy.loadtxt reads only 50000 lines when skip_rows >= max_rows - #28385: BUG: Make np.nonzero threading safe - #28420: BUG: safer bincount casting (backport to 2.2.x) - #28422: BUG: Fix building on s390x with clang - #28423: CI: use QEMU 9.2.2 for Linux Qemu tests - #28424: BUG: skip legacy dtype multithreaded test on 32 bit runners - #28435: BUG: Fix searchsorted and CheckFromAny byte-swapping logic - #28449: BUG: sanity check ``__array_interface__`` number of dimensions - #28510: MAINT: Hide decorator from pytest traceback - #28512: TYP: Typing fixes backported from #28452, #28491, #28494 - #28521: TYP: Backport fixes from #28505, #28506, #28508, and #28511 - #28533: TYP: Backport typing fixes from main (2) - #28534: TYP: Backport typing fixes from main (3) - #28542: TYP: Backport typing fixes from main (4) Cheers, Charles Harris

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Python 3.14.0 alpha 6
by Hugo van Kemenade March 14, 2025

March 14, 2025

Here comes the penultimate alpha. https://www.python.org/downloads/release/python-3140a6/ 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, 3.14.0a6, is the sixth 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 761: Python 3.14 and onwards no longer provides PGP signatures for release artifacts. Instead, Sigstore is recommended for verifiers. - Improved error messages - 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. - 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 final alpha, 3.14.0a7, currently scheduled for 2025-04-08. 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/ And now for something completely different! March 14 is celebrated as pi day, because 3.14 is an approximation of π. The day is observed by eating pies (savoury and/or sweet) and celebrating π. The first pi day was organised by physicist and tinkerer Larry Shaw of the San Francisco Exploratorium in 1988. It is also the International Day of Mathematics and Albert Einstein’s birthday. Let’s all eat some pie, recite some π, install and test some py, and wish a happy birthday to Albert, Loren and all the other pi day children! 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 fresh snow falls, Your release team, Hugo van Kemenade Ned Deily Steve Dower Łukasz Langa

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SQLObject 3.13.0
by Oleg Broytman March 7, 2025

March 7, 2025

Hello! I'm pleased to announce version 3.13.0, the first release of branch 3.13 of SQLObject. What's new in SQLObject ======================= Drivers ------- * Extended default list of MySQL drivers to ``mysqldb``, ``mysqlclient``, ``mysql-connector``, ``mysql-connector-python``, ``pymysql``. * Extended default list of PostgreSQL drivers to ``psycopg``, ``psycopg2``, ``pygresql``, ``pg8000``. * Fixed outstanding problems with ``psycopg``. It's now the first class driver. * Fixed all problems with ``pg8000``. It's now the first class driver. * Dropped support for ``CyMySQL``; its author refused to fix unicode-related problems. * Dropped support for ``py-postgresql``; it's completely broken with debianized ``Postgres`` and the authors reject fixes. Tests ----- * Added tests for ``mysqldb`` (aka ``mysql-python``) and ``mysqlclient`` on w32. * Improved tests of ``mysql-connector`` and ``mysql-connector-python``. CI -- * Tests(GHActions): Fixed old bugs in the workflow on w32. * Run tests with ``psycopg[c]``. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is a free and open-source (LGPL) Python object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL/MariaDB (with a number of DB API drivers: ``MySQLdb``, ``mysqlclient``, ``mysql-connector``, ``PyMySQL``, ``mariadb``), PostgreSQL (``psycopg``, ``psycopg2``, ``PyGreSQL``, partially ``pg8000``), SQLite (builtin ``sqlite3``); connections to other backends - Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB) - are less debugged). Python 2.7 or 3.4+ is required. Where is SQLObject ================== Site: http://sqlobject.org Download: https://pypi.org/project/SQLObject/3.13.0 News and changes: http://sqlobject.org/News.html StackOverflow: https://stackoverflow.com/questions/tagged/sqlobject Mailing lists: https://sourceforge.net/p/sqlobject/mailman/ Development: http://sqlobject.org/devel/ Developer Guide: http://sqlobject.org/DeveloperGuide.html Example ======= Install:: $ pip install sqlobject Create a simple class that wraps a table:: >>> from sqlobject import * >>> >>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:') >>> >>> class Person(SQLObject): ... fname = StringCol() ... mi = StringCol(length=1, default=None) ... lname = StringCol() ... >>> Person.createTable() Use the object:: >>> p = Person(fname="John", lname="Doe") >>> p <Person 1 fname='John' mi=None lname='Doe'> >>> p.fname 'John' >>> p.mi = 'Q' >>> p2 = Person.get(1) >>> p2 <Person 1 fname='John' mi='Q' lname='Doe'> >>> p is p2 True Queries:: >>> p3 = Person.selectBy(lname="Doe")[0] >>> p3 <Person 1 fname='John' mi='Q' lname='Doe'> >>> pc = Person.select(Person.q.lname=="Doe").count() >>> pc 1 Oleg. -- Oleg Broytman https://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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