Mailman 3 May 2023 - Python-announce-list

Wing Python IDE 9.1 has been released
by Wingware 12 May '23

12 May '23

Wing Python IDE 9.1 has been released. It adds auto-import and import management, collects and displays code coverage for unit tests, uses coverage data to invalidate test results when code is edited, adds support for Python 3.11, reduces debugger overhead in Python 3.7+, speeds up running unit tests, streamlines configuration of light and dark theming, adds two light display themes, and makes improvements to New Project for Docker and Django, auto-invocation, multi-threaded debugging, code analysis, & more. Details: https://wingware.com/news/2023-05-10 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 deep code analysis provides 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 very simplified free Python IDE for beginners (omits many features). Learn more at https://wingware.com/

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[Release] Kedro 0.18.8 🔶
by Juan Luis Cano 04 May '23

04 May '23

Hi all, It fills us with astronomical joy to announce the release of Kedro 0.18.8! 🔶 Kedro is an open source, opinionated 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 conda/[micro]mamba install kedro --channel conda-forge ``` This release brought support for a new `KEDRO_LOGGING_CONFIG` environment variable to configure logging, better reproducibility for `kedro run`, lots of documentation improvements, and much more. For existing users, note that `kedro.extras.datasets` is deprecated in favor of the separate `kedro_datasets` package. You can read the full release notes online: https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0188 If you want to know more, you can subscribe to our YouTube channel, follow us on the Fediverse or join our community in Slack: https://youtube.com/@kedro-python https://social.lfx.dev/@kedro https://slack.kedro.org/ Happy pipelining! -- Cano Rodríguez, Juan Luis Developer Advocate at QuantumBlack Labs Pronouns: he/him/his McKinsey & Company 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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PyConZA 2023 - Call for Submissions
by Neil Muller 03 May '23

03 May '23

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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Numba 0.57.0 and llvmlite 0.40.0
by Siu Kwan Lam 02 May '23

02 May '23

Dear all, Numba 0.57.0 and llvmlite 0.40.0 have been released. Please see our Discourse for more information: https://numba.discourse.group/t/ann-numba-0-57-0-and-llvmlite-0-40-0/1914 Best, Siu

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[RELEASE] pyspread 2.2.1
by Martin Manns 01 May '23

01 May '23

pyspread 2.2 ============ This is a bugfix release Note that missing libvoikko, nuspell and hspell may lead to warning messages if pyenchant is installed. However, pyspread is still functional as this affects only spellchecking. Bug fixes: * Chart dialog now correctly starts if rpy2 is not installed and if optional R modules are missing. * Deleting large selections is now significantly faster. * Pasting into large selections is now significantly faster. * QPen cache now is limited in size. 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-2.2.ta… Source code: https://gitlab.com/pyspread/pyspread Dependencies ============ Mandatory: * Python (≥ 3.6) * numpy (>=1.1) * PyQt5 (≥ 5.10, requires PyQt5.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) * plotnine (>=0.8) * libvoikko (>=4.3) * nuspell (>=5.1) * hspell (>= 1.4) * ggplot2 (>=3.4) For building the apidocs with Sphinx see apidocs/requirements.txt Enjoy Martin

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