Mailman 3 November 2020 - Python-announce-list

ANN: Lea 3.4.0 released
by pie.denis＠skynet.be 14 Nov '20

14 Nov '20

Lea 3.4.0 is now released! ---> http://pypi.org/project/lea/3.4.0 What is Lea? ------------ Lea is a Python module aiming at working with discrete probability distributions in an intuitive way. It allows you modeling a broad range of random phenomena: gambling, weather, finance, etc. More generally, Lea may be used for any finite set of discrete values having known probability: numbers, booleans, date/times, symbols,. Each probability distribution is modeled as a plain object, which can be named, displayed, queried or processed to produce new probability distributions. Lea also provides advanced functions and Probabilistic Programming (PP) features; these include conditional probabilities, joint probability distributions, Bayesian networks, Markov chains and symbolic computation. All probability calculations in Lea are performed by a new exact algorithm, the Statues algorithm, which is based on variable binding and recursive generators. For problems intractable through exact methods, Lea provides on-demand approximate algorithms, namely MC rejection sampling and likelihood weighting. Beside the above-cited functions, Lea provides some machine learning functions, including Maximum-Likelihood and Expectation-Maximization algorithms. Lea can be used for AI, education (probability theory & PP), generation of random samples, etc. LGPL - Python 2.6+ / Python 3 supported For a 5 minutes tour. check out the poster presented at PROBPROG2020 conference: http://probprog.cc/assets/posters/fri/69.pdf What's new in Lea 3.4.0? ------------------------ Lea 3.4.0 includes two important improvements over 3.3.x: 1) Introduction of "evidence contexts", allowing to factorize conditions when calculating conditional probabilities http://bitbucket.org/piedenis/lea/wiki/Lea3_Tutorial_3#markdown-header-evide nce-contexts-evidence-add_evidence-methods 2) Optimize calculation for several queries, which were intractable in an exact way with previous Lea versions http://bitbucket.org/piedenis/lea/issues/60/scaling-exact-inference-optimiza tion This version contains also a couple of improvements on usability/consistency. To learn more... ---------------- Lea 3 on PyPI -> http://pypi.org/project/lea Lea project page -> http://bitbucket.org/piedenis/lea Documentation -> http://bitbucket.org/piedenis/lea/wiki/Home Statues algorithm -> http://link.springer.com/chapter/10.1007/978-3-030-52246-9_10 With the hope that Lea can make this universe less erratic, Pierre Denis

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PyCon ZA 2020 - Call for Submissions
by Neil Muller 11 Nov '20

11 Nov '20

PyCon ZA 2020 will take place on the 8th & 9th of October, 2020. This year, due to the ongoing uncertainty of when conference facilities will be allowed to open, we will be running PyCon ZA as an online event. 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) 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/submit-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 2020. 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. PyCon ZA 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 else at PyCon ZA, please contact the organising committee at team(a)za.pycon.org . We’re researching which software platforms will be most suitable for running PyCon ZA. As soon as we have finalised this decision, we’ll make it public and update potential presenters. If you have experience with presenting on particular platforms, we'd love to hear from you at team(a)za.pycon.org . -- Neil Muller On behalf of the PyCon ZA organising committee

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[ANN] iPOPO 1.0.1
by Thomas Calmant 10 Nov '20

10 Nov '20

Hi, I'm happy to announce that iPOPO has been relased in v1.0.1. What is iPOPO ============= iPOPO is a Service-Oriented Component Model (SOCM) based on Pelix, a dynamic service platform. Both are inspired on two popular Java technologies for the development of long-lived applications: the iPOJO component model and the OSGi Service Platform. iPOPO enables to conceive long-running and modular IT services. It is based on the concepts specified by OSGi: - Bundle: a Python module imported using Pelix and associated to a context. A bundle has a life-cycle (install, start, updated, stop, uninstall) - Service: a Python object registered in a service registry, associated to a specification and to properties. - Component: the instance of a class described/manipulated by iPOPO decorators Components are bound together by the specification(s) of the service(s) they provide. The required services are injected into components by iPOPO. For more information about those concepts, see https://ipopo.readthedocs.io/en/latest/refcards/index.html#refcards iPOPO provides many services out-of-the-box, like an HTTP server, local and remote shell, remote services... iPOPO is released under the terms of Apache Software License 2.0 What's new in 1.0.1 =================== This release adds few features and only concerns the v1 branch. * Added a RequiresBroadcast decorator, which injects a proxy that broadcasts calls to all services matched by the requirement. It also transparently ignores calls when no service matches the requirement. * ConfigurationAdmin default persistence can now be disabled by setting the pelix.configadmin.persistence.default.disable framework property to any non-empty value. See #113 for more details: https://github.com/tcalmant/ipopo/issues/113 * Added a to_record() method in LogEntry objects. This converts the Pelix entry to a logging.LogRecord object, which can then be formatted using standard formatters. Note that some information is missing, like the place the log record is from (file path and line). You can take a look at the documentation at https://ipopo.readthedocs.io/ iPOPO is available on PyPI: https://pypi.python.org/pypi/iPOPO Source is available on GitHub: https://github.com/tcalmant/ipopo Feel free to send feedback on your experience of Pelix/iPOPO, via the mailing lists: User list : http://groups.google.com/group/ipopo-users Development list : http://groups.google.com/group/ipopo-dev Have fun!

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ANN: Leo 6.3 final released
by Edward K. Ream 06 Nov '20

06 Nov '20

Leo 6.3, http://leoeditor.com, is now available on GitHub <https://github.com/leo-editor/leo-editor>. Leo is an IDE, outliner and PIM <http://leoeditor.com/preface.html>. *The highlights of Leo 6.3* - leoAst.py: The unification of Python's token and ast worlds. - Retired all Qt Dock code. - Improved viewrendered and viewrendered3 plugins. - Improved several importer plugins. - Refactored Leo's key handling code. *Links* - Leo's home page: http://leoeditor.com - Documentation <http://leoeditor.com/leo_toc.html> - Tutorials <http://leoeditor.com/tutorial.html> - Video tutorials <http://leoeditor.com/screencasts.html> - Forum <http://groups.google.com/group/leo-editor> - Download <http://sourceforge.net/projects/leo/files/> - Leo on GitHub <https://github.com/leo-editor/leo-editor> - LeoVue <https://github.com/kaleguy/leovue#leo-vue> - What people are saying about Leo <http://leoeditor.com/testimonials.html> - A web page that displays .leo files <http://leoeditor.com/load-leo.html> - More links <http://leoeditor.com/leoLinks.html> Edward ----------------------------------------------------------------- Edward K. Ream: edreamleo(a)gmail.com An old man, crazy about computer programming. Leo Editor: http://leoeditor.com/ -----------------------------------------------------------------

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attrs 20.3.0
by Hynek Schlawack 05 Nov '20

05 Nov '20

Hi everyone, I’m happy to announce the release of attrs 20.3.0! attrs is the direct ancestor – and the inspiration for – dataclasses in the standard library and remains the more powerful option for creating regular classes without getting bogged down with writing identical boilerplate again and again: <https://www.attrs.org/> Heartfelt thanks to my generous sponsors <https://github.com/sponsors/hynek>, companies subscribing on Tidelift <https://tidelift.com/subscription/pkg/pypi-attrs>, and people who bought me a coffee on <https://ko-fi.com/the_hynek>! Support like that makes me merge PRs and release software on a Saturday afternoon! <3 The main features of this release are: - Field transformers! We now offer an official way to hook into the creation of fields/attributes and allow you to modify or even drop them: <https://www.attrs.org/en/stable/extending.html#automatic-field-transformati…>. This should allow more exciting things to be built in the future and be another tool for people building higher-level toolkits on top of attrs. - If you clicked that link you’ve already noticed: attrs is now using the beautiful Sphinx theme “furo” by Pradyun Gedam. You can check it out at <https://github.com/pradyunsg/furo>. YOUR docs can look good too! --- All Changes: ============ Backward-incompatible Changes - attr.define(), attr.frozen(), attr.mutable(), and attr.field() remain provisional. This release does not change change anything about them and they are already used widely in production though. If you wish to use them together with mypy, you can simply drop this plugin into your project. Feel free to provide feedback to them in the linked issue #668. We will release the attrs namespace once we have the feeling that the APIs have properly settled. #668 Changes - attr.s() now has a field_transformer hook that is called for all Attributes and returns a (modified or updated) list of Attribute instances. attr.asdict() has a value_serializer hook that can change the way values are converted. Both hooks are meant to help with data (de-)serialization workflows. #653 - kw_only=True now works on Python 2. #700 - raise from now works on frozen classes on PyPy. #703, #712 - attr.asdict() and attr.astuple() now treat frozensets like sets with regards to the retain_collection_types argument. #704 - The type stubs for attr.s() and attr.make_class() are not missing the collect_by_mro argument anymore. #711

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ANN: SciPy 1.5.4
by Tyler Reddy 04 Nov '20

04 Nov '20

Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.5.4, which is a bug fix release that includes Python 3.9 wheels and a more complete fix for build issues on XCode 12. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.5.4 One of a few ways to install this release with pip: pip install scipy==1.5.4 ===================== SciPy 1.5.4 Release Notes ===================== SciPy 1.5.4 is a bug-fix release with no new features compared to 1.5.3. Importantly, wheels are now available for Python 3.9 and a more complete fix has been applied for issues building with XCode 12. Authors ====== * Peter Bell * CJ Carey * Andrew McCluskey + * Andrew Nelson * Tyler Reddy * Eli Rykoff + * Ian Thomas + A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for 1.5.4 ------------------------------- * `#12763 <https://github.com/scipy/scipy/issues/12763>`__: ndimage.fourier_ellipsoid segmentation fault * `#12789 <https://github.com/scipy/scipy/issues/12789>`__: TestConvolve2d.test_large_array failing on Windows ILP64 CI job * `#12857 <https://github.com/scipy/scipy/issues/12857>`__: sparse A[0,:] = ndarray is ok, A[:,0] = ndarray ValueError from... * `#12860 <https://github.com/scipy/scipy/issues/12860>`__: BUG: Build failure with Xcode 12 * `#12935 <https://github.com/scipy/scipy/issues/12935>`__: Failure to build with Python 3.9.0 on macOS * `#12966 <https://github.com/scipy/scipy/issues/12966>`__: MAINT: lint_diff.py on some backport PRs * `#12988 <https://github.com/scipy/scipy/issues/12988>`__: BUG: Highly multi-dimensional \`gaussian_kde\` giving \`-inf\`... Pull requests for 1.5.4 ------------------------------ * `#12790 <https://github.com/scipy/scipy/pull/12790>`__: TST: Skip TestConvolve2d.test_large_array if not enough memory * `#12851 <https://github.com/scipy/scipy/pull/12851>`__: BUG: sparse: fix inner indexed assignment of a 1d array * `#12875 <https://github.com/scipy/scipy/pull/12875>`__: BUG: segfault in ndimage.fourier_ellipsoid with length-1 dims * `#12937 <https://github.com/scipy/scipy/pull/12937>`__: CI: macOS3.9 testing * `#12957 <https://github.com/scipy/scipy/pull/12957>`__: MAINT: fixes XCode 12/ python 3.9.0 build for 1.5.x maint branch * `#12959 <https://github.com/scipy/scipy/pull/12959>`__: CI: add Windows Python 3.9 to CI * `#12974 <https://github.com/scipy/scipy/pull/12974>`__: MAINT: Run lint_diff.py against the merge target and only for... * `#12978 <https://github.com/scipy/scipy/pull/12978>`__: DOC: next_fast_len output doesn't match docstring * `#12979 <https://github.com/scipy/scipy/pull/12979>`__: BUG: fft.next_fast_len should accept keyword arguments * `#12989 <https://github.com/scipy/scipy/pull/12989>`__: BUG: improved the stability of kde for highly (1000s) multi-dimension... * `#13017 <https://github.com/scipy/scipy/pull/13017>`__: BUG: Add explicit cast to _tmp sum. * `#13022 <https://github.com/scipy/scipy/pull/13022>`__: TST: xfail test_maxiter_worsening() Checksums ========= MD5 ~~~ 09a446e10033c3132f1f257e3f4d9735 scipy-1.5.4-cp36-cp36m-macosx_10_9_x86_64.whl 25e58fde2fd4eb6c7717719db85e368b scipy-1.5.4-cp36-cp36m-manylinux1_i686.whl 2c9705cd57788ad79ea0c1015208f41f scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl d0fb84f3ff45e4149698fbc662ac4d47 scipy-1.5.4-cp36-cp36m-manylinux2014_aarch64.whl f94f0e274cd2960ecb2d8751632e098c scipy-1.5.4-cp36-cp36m-win32.whl f56f4d5b67fccc49fb64331c28bdf7d1 scipy-1.5.4-cp36-cp36m-win_amd64.whl 33e0843f8619b78547866579134a733b scipy-1.5.4-cp37-cp37m-macosx_10_9_x86_64.whl 6720a406d82bd08c4370b665d5eddeb9 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[RELEASE] Python 3.10.0a2 available for testing
by Pablo Galindo Salgado 03 Nov '20

03 Nov '20

The engines of the secret release manager machine have finished producing a new pre-release. Go get it here: https://www.python.org/downloads/release/python-3100a2/ *Major new features of the 3.10 series, compared to 3.9* Python 3.10 is still in development. This releasee, 3.10.0a2 is the second of six 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 (2021-05-03) and, if necessary, may be modified or deleted up until the release candidate phase (2021-10-04). Please keep in mind that this is a preview release and its use is not recommended for production environments. Many new features for Python 3.10 are still being planned and written. Among the new major new features and changes so far: PEP 623 -- Remove wstr from Unicode PEP 604 -- Allow writing union types as X | Y PEP 612 -- Parameter Specification Variables PEP 626 -- Precise line numbers for debugging and other tools. (Hey, fellow core developer, if a feature you find important is missing from this list, let Pablo know.) The next pre-release of Python 3.10 will be 3.10.0a3, currently scheduled for 2020-12-07. *And now for something completely different * The cardinality (the number of elements) of infinite sets can be one of the most surprising results of set theory. For example, there are the same amount of even natural numbers than natural numbers (which can be even or odd). There is also the same amount of rational numbers than natural numbers. But on the other hand, there are more real numbers between 0 and 1 than natural numbers! All these sets have infinite cardinality but turn out that some of these infinities are bigger than others. These infinite cardinalities normally are represented using aleph numbers. Infinite sets are strange beasts indeed. Regards from cold London, Pablo Galindo Salgado

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NumPy 1.19.4 release
by Charles R Harris 02 Nov '20

02 Nov '20

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.19.4. NumPy 1.19.4 is a quick release to revert the OpenBLAS library version. It was hoped that the 0.3.12 OpenBLAS version used in 1.19.3 would work around the Microsoft fmod bug, but problems in some docker environments turned up. Instead, 1.19.4 will use the older library and run a sanity check on import, raising an error if the problem is detected. Microsoft is aware of the problem and has promised a fix, users should upgrade when it becomes available. This release supports Python 3.6-3.9. NumPy Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.19.4/>, source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.19.4>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 1 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris *Pull requests merged* A total of 2 pull requests were merged for this release. - #17679: MAINT: Add check for Windows 10 version 2004 bug. - #17680: REV: Revert OpenBLAS to 1.19.2 version for 1.19.4 Cheers, Charles Harris

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