Mailman 3 May 2025 - Python-announce-list

python-oracledb 3.1.1
by Anthony Tuininga May 15, 2025

May 15, 2025

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 replaces cx_Oracle. Where do I get it? https://pypi.org/project/oracledb/3.1.1/ 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 reported issues. 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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Introducing Pysonar: The New SonarScanner for Python
by Jean Jimbo May 15, 2025

May 15, 2025

We're excited to announce the general availability of the SonarScanner for Python now installable directly via PyPI: https://pypi.org/project/pysonar/ This new scanner is designed specifically for the Python ecosystem and is fully compatible with: Python 3.9 and above SonarQube Cloud SonarQube Server 10.6 and above It replaces the previous beta scanner (https://pypi.org/project/pysonar-scanner/), which is now officially unsupported and not recommended for production use. The scanner supports a wide range of popular libraries and frameworks including security rules for Django, Flask, FastAPI, and quality rules for Pytorch, Numpy, Pandas, Scikit-learn and more. Whether you’re analyzing your Python projects on SonarQube Server or SonarQube Cloud, this scanner offers a streamlined and Python-native experience. ------------------------------------------------------------------------ You can find the documentation for setup and usage here: SonarQube Server: https://docs.sonarsource.com/sonarqube-server/latest/analyzing-source-code/… SonarQube Cloud: https://docs.sonarsource.com/sonarqube-cloud/advanced-setup/ci-based-analys… We invite all users looking for a dedicated Python analysis solution to try out the new scanner and share your feedback in our community. Happy scanning! -Team Sonar

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ANN: eGenix Antispam Bot for Telegram 0.7.1
by eGenix Team May 14, 2025

May 14, 2025

*ANNOUNCING* eGenix Antispam Bot for Telegram Version 0.7.1 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-0.7.1-… ------------------------------------------------------------------------ *INTRODUCTION* eGenix <https://egenix.com/> has long been running a local Python user group meeting in Düsseldorf called /Python Meeting Düsseldorf <https://pyddf.de/>/ 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 0.7.1 release fixes a few bugs and adds more features: * Added missing dependency on emoji package to setup (bug introduced in 0.7.0, fixed in 0.7.1) * Added user name check for number of emojis, since these are being used a lot by spammers * Added wheel as requirement, since this is no longer included per default * Updated copyright year It has been battle-tested in production for several years already already and is proving to be a really useful tool to help with Telegram group administration. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, May 14 2025) >>> 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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Python 3.14.0 beta 1 is here!
by Hugo van Kemenade May 7, 2025

May 7, 2025

Only one day late, welcome to the first beta! https://www.python.org/downloads/release/python-3140b1/ This is a beta preview of Python 3.14 Python 3.14 is still in development. This release, 3.14.0b1, is the first of four planned beta releases. Beta release previews are intended to give the wider community the opportunity to test new features and bug fixes and to prepare their projects to support the new feature release. We strongly encourage maintainers of third-party Python projects to test with 3.14 during the beta phase and report issues found to the Python bug tracker as soon as possible (https://github.com/python/cpython/issues). While the release is planned to be feature-complete entering the beta phase, it is possible that features may be modified or, in rare cases, deleted up until the start of the release candidate phase (Tuesday 2025-07-22). Our goal is to have no ABI changes after beta 4 and as few code changes as possible after the first release candidate. To achieve that, it will be extremely important to get as much exposure for 3.14 as possible during the beta phase. Please keep in mind that this is a preview release and its use is not recommended for production environments. Major new features of the 3.14 series, compared to 3.13 Some of the major new features and changes in Python 3.14 are: New features - PEP 649: The evaluation of type annotations is now deferred, improving the semantics of using annotations. - PEP 750: Template string literals (t-strings) for custom string processing, using the familiar syntax of f-strings. - PEP 784: A new module compression.zstd providing support for the Zstandard compression algorithm. - PEP 758: except and except* expressions may now omit the brackets. - Syntax highlighting in PyREPL, and support for color in unittest, argparse, json and calendar CLIs. - PEP 768: A zero-overhead external debugger interface for CPython. - UUID versions 6-8 are now supported by the uuid module, and generation of versions 3-5 and 8 are up to 40% faster. - PEP 765: Disallow return/break/continue that exit a finally block. - PEP 741: An improved C API for configuring Python. - A new type of interpreter. For certain newer compilers, this interpreter provides significantly better performance. Opt-in for now, requires building from source. - Improved error messages. - Builtin implementation of HMAC with formally verified code from the HACL* project. For more details on the changes to Python 3.14, see What’s new in Python 3.14. https://docs.python.org/3.14/whatsnew/3.14.html The next pre-release of Python 3.14 will be 3.14.0b2, scheduled for 2025-05-27. Build changes - PEP 761: Python 3.14 and onwards no longer provides PGP signatures for release artifacts. Instead, Sigstore is recommended for verifiers. - Official macOS and Windows release binaries include an experimental JIT compiler. Incompatible changes, removals and new deprecations - https://docs.python.org/3.14/whatsnew/3.14.html#incompatible-changes - https://docs.python.org/3.14/whatsnew/3.14.html#removed - https://docs.python.org/3.14/whatsnew/3.14.html#deprecated - https://docs.python.org/3.14/whatsnew/3.14.html#c-api-removed - https://docs.python.org/3.14/whatsnew/3.14.html#c-api-deprecated Python install manager The installer we offer for Windows is being replaced by our new install manager, which can be installed from the Windows Store or our FTP page. See our documentation for more information. The JSON file available for download below contains the list of all the installable packages available as part of this release, including file URLs and hashes, but is not required to install the latest release. The traditional installer will remain available throughout the 3.14 and 3.15 releases. 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/ Note During the release process, we discovered a test that only failed when run sequentially and only when run after a certain number of other tests. This appears to be a problem with the test itself, and we will make it more robust for beta 2. For details, see https://github.com/python/cpython/issues/133532 And now for something completely different The mathematical constant pi is represented by the Greek letter π and represents the ratio of a circle’s circumference to its diameter. The first person to use π as a symbol for this ratio was Welsh self-taught mathematician William Jones in 1706. He was a farmer’s son born in Llanfihangel Tre’r Beirdd on Angelsy (Ynys Môn) in 1675 and only received a basic education at a local charity school. However, the owner of his parents’ farm noticed his mathematical ability and arranged for him to move to London to work in a bank. By age 20, he served at sea in the Royal Navy, teaching sailors mathematics and helping with the ship’s navigation. On return to London seven years later, he became a maths teacher in coffee houses and a private tutor. In 1706, Jones published Synopsis Palmariorum Matheseos which used the symbol π for the ratio of a circle’s circumference to diameter. Jones was also the first person to realise π is an irrational number, meaning it can be written as a decimal number that goes on forever, but cannot be written as a fraction of two integers. But why π? It’s thought Jones used the Greek letter π because it’s the first letter in perimetron or perimeter. Jones was the first to use π as our familiar ratio but wasn’t the first to use it in as part of the ratio. William Oughtred, in his 1631 Clavis Mathematicae (The Key of Mathematics), used π/δ to represent what we now call pi. His π was the circumference, not the ratio of circumference to diameter. James Gregory, in his 1668 Geometriae Pars Universalis (The Universal Part of Geometry) used π/ρ instead, where ρ is the radius, making the ratio 6.28… or τ. After Jones, Leonhard Euler had used π for 6.28…, and also p for 3.14…, before settling on and popularising π for the famous ratio. 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 the leaves begin to appear on the trees, Your release team, Hugo van Kemenade Ned Deily Steve Dower Łukasz Langa

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PyCA cryptography 44.0.3 released
by Alex Gaynor May 2, 2025

May 2, 2025

PyCA cryptography 44.0.3 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, X.509, key derivation functions, and much more. We support Python 3.7+, and PyPy3 7.3.10+. Changelog (https://cryptography.io/en/latest/changelog/#v44-0-3): * Fixed compilation when using LibreSSL 4.1.0. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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ANN: Python-Blosc2 3.3.2 released
by Francesc Alted May 1, 2025

May 1, 2025

Announcing Python-Blosc2 3.3.2 ============================== This is a bugfix release, with some minor optimizations. We fixed specially a bug in the determination of chunk shape in constructors on CPUs with large L3 cache sizes (like AMD EPYC). We also fixed a bug preventing the correct chaining of *string* lazy expressions for logical operators (``&``, ``|``, ``^``...). 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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