Mailman 3 July 2023 - Python-announce-list

PyCA cryptography 41.0.2 released
by Paul Kehrer July 11, 2023

July 11, 2023

PyCA cryptography 41.0.2 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, X509, key derivation functions, and much more. We support Python 3.7+, and PyPy3 7.3.10+. Changelog (https://cryptography.io/en/latest/changelog/#v41-0-2): * Fixed bugs in creating and parsing SSH certificates where critical options with values were handled incorrectly. Certificates are now created correctly and parsing accepts correct values as well as the previously generated invalid forms with a warning. In the next release, support for parsing these invalid forms will be removed. -Paul Kehrer (reaperhulk)

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NumPy 1.25.1 release
by Charles R Harris July 8, 2023

July 8, 2023

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.25.1. NumPy 1.25.1 is a maintenance release that fixes bugs discovered after the 1.24.3 release and updates the build infrastructure to stay current with upstream changes. The Python versions supported by this release are 3.9-3.11 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. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.25.1/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.25.1>. *Contributors* A total of 10 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Andrew Nelson - Charles Harris - Developer-Ecosystem-Engineering - Hood Chatham - Nathan Goldbaum - Rohit Goswami - Sebastian Berg - Tim Paine + - dependabot[bot] - matoro + *Pull requests merged* A total of 14 pull requests were merged for this release. - #23968: MAINT: prepare 1.25.x for further development - #24036: BLD: Port long double identification to C for meson - #24037: BUG: Fix reduction `return NULL` to be `goto fail` - #24038: BUG: Avoid undefined behavior in array.astype() - #24039: BUG: Ensure `__array_ufunc__` works without any kwargs passed - #24117: MAINT: Pin urllib3 to avoid anaconda-client bug. - #24118: TST: Pin pydantic<2 in Pyodide workflow - #24119: MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1 - #24120: MAINT: Bump actions/checkout from 3.5.2 to 3.5.3 - #24122: BUG: Multiply or Divides using SIMD without a full vector can\... - #24127: MAINT: testing for IS_MUSL closes #24074 - #24128: BUG: Only replace dtype temporarily if dimensions changed - #24129: MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0 - #24134: BUG: Fix private procedures in f2py modules Cheers, Charles Harris

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Salabim 23.2.0 released
by Ruud van der Ham July 4, 2023

July 4, 2023

This is to announce the release of salabim 23.2.0 . Salabim is a discrete event simulation package that has applications in logistics, communications, production, mining, hospital operations, etc. It supports powerful realtime 2D and 3D animations, monitoring, statistical sampling functions, ... In contrast to SimPy, salabim is build around dynamic objects (components) that interact with each other. Up to now, that was done with generator functions (coroutines), like class Car(sim.Component): def process(self): yield self.hold(5) pump.activate() yield self.passivate() But as from this version, salabim processes can also run as greenlets, so yields are not required anymore: class Car(sim.Component): def process(self): self.hold(5) pump.activate() self.passivate() This makes modeling much more natural and less error prone. For more information, including the full documentation, changelog, etc. goto www.salabim.org .

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PyConZA 2023 - Second Call for Submissions
by Neil Muller July 4, 2023

July 4, 2023

This is a second call for submissions to PyConZA 2023. PyConZA 2023 will take place on the 5th & 6th of October, 2023. This year, PyConZA will be a hybrid conference (with in-person and online access) hosted at the Premier Splendid Inn in Umhlanga, Durban. We are looking for the following presentations: - Keynotes (45 minute long talks on a subject of general interest) - Talks (30 minute long talks on more specific topics) - Remote Talks (30 minute long talks that will be delivered remotely - note that the number of remote talk slots is more limited due to technical constraints). If you would like to give a presentation, please register at https://za.pycon.org/ and submit your proposal, following the instructions at https://za.pycon.org/talks/how-to-submit-a-talk/ . We have a number of tracks available, including: Data Science, Teaching and Learning with Python, Web, Scientific Computing, Testing and Other (which includes all talks that don't fall under the mentioned tracks). We hope to notify accepted presenters by no later than the 31st of August 2023. Speakers will be expected to be available after the presentation for a short Q&A session. Shared sessions are also possible. The presentations will be in English. PyConZA offers a mentorship program for inexperienced speakers. If you would like assistance preparing your submission, email team(a)za.pycon.org with a rough draft of your talk proposal and we'll find a suitable experienced speaker to act as a mentor. If you want to present something that doesn't fit into the standard talk categories at PyConZA, please contact the organising committee at team(a)za.pycon.org so we can discuss whether that will be feasible -- Neil Muller On behalf of the PyConZA organising committee

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[Release] Kedro 0.18.11 🔶
by Juan Luis Cano July 3, 2023

July 3, 2023

Hi all, It fills us with astronomical joy to announce the release of Kedro 0.18.11! 🔶 Kedro is an open source, orchestrator-agnostic Python framework for creating reproducible, maintainable and modular data science code. It reduces technical debt when moving prototypes into production by providing a declarative data catalog, a solid project template, plumbing for creating data pipelines, and more. It features a rich ecosystem of plugins and third-party datasets and is currently an incubation-stage project of the LF AI & Data Foundation. You can install it using pip or conda/[micro]mamba: ``` pip install kedro==0.18.11 conda/[micro]mamba install kedro=0.18.11 --channel conda-forge ``` In this release, we added added a new `databricks-iris` official starter and significantly improved the documentation around Databricks deployments. We also fixed some bugs around micropackaging and remote datasets, updated the documentation for Prefect 2.0, and deprecated some class names. You can read the full release notes online: https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-01811 If you want to know more, you can watch our recent workshop “Refactor your Jupyter notebooks using Kedro ” on YouTube: https://youtu.be/qClSGY6B0r0 Follow us on the Fediverse and join our community in Slack: https://social.lfx.dev/@kedro https://slack.kedro.org/ Happy pipelining! -- Cano Rodríguez, Juan Luis Principal Product Manager & Lead Developer Advocate QuantumBlack, AI by McKinsey Pronouns: he/him/his M +34 686 75 72 97 +=============================================================+ This email is confidential and may be privileged. If you have received it in error, please notify us immediately, delete the email, and do not copy it, disclose its contents or use it for any purpose. +=============================================================+

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