Mailman 3 August 2019 - Python-announce-list

[baseline 0.2.1] Easy String Baseline
by Dan Gass March 29, 2020

March 29, 2020

I am please to announce the availability of the "baseline" package. This tool streamlines creation and maintenance of tests which compare string output against a baseline. It offers a mechanism to compare a string against a baselined copy and update the baselined copy to match the new value when a mismatch occurs. The update process includes a manual step to facilitate a review of the change before acceptance. The tool uses multi-line string format for string baselines to improve readability for human review. Docs: https://baseline.readthedocs.io/en/latest/ PyPi: https://pypi.org/project/baseline/ Repo: https://github.com/dmgass/baseline License: MIT With Regards, Dan Gass (dan.gass at gmail) *********** Quick Start *********** Create an empty baseline with a triple quoted multi-line string. Place the ending triple quote on a separate line and indent it to the level you wish the string baseline update to be indented to. Add a compare of the string being tested to the baseline string. Then save the file as ``fox.py``: .. code-block:: python from baseline import Baseline expected = Baseline(""" """) test_string = "THE QUICK BROWN FOX\n JUMPS\nOVER THE LAZY DOG." assert test_string == expected Run ``fox.py`` and observe that the ``assert`` raises an exception since the strings are not equal. Because the comparison failed, the tool located the triple quoted baseline string in the source file and updated it with the miscompared value. When the interpretter exited, the tool saved the updated source file but changed the file name to ``fox.update.py``: .. code-block:: python from baseline import Baseline expected = Baseline(""" THE QUICK BROWN FOX JUMPS OVER THE LAZY DOG. """) test_string = "THE QUICK BROWN FOX\n JUMPS\nOVER THE LAZY DOG." assert test_string == expected After reviewing the change with your favorite file differencing tool, accept the change by either manually overwriting the original file or use the ``baseline`` command line tool to scan the directory for updated scripts and accept them: .. code-block:: shell $ python -m baseline * Found updates for: fox.py Hit [ENTER] to update, [Ctrl-C] to cancel fox.update.py -> fox.py Run ``fox.py`` again and observe the ``assert`` does not raise an exception nor is a source file update generated. If in the future the test value changes, the ``assert`` will raise an exception and cause a new source file update to be generated. Simply repeat the review and acceptance step and you are back in business! <P><A HREF="https://baseline.readthedocs.io/en/latest/"> baseline 0.2.1</A> - Easy String Baseline (07-Jun-18)

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The Real-Time Use of Python in Data Science World!
by Anita Goyal March 6, 2020

March 6, 2020

This course will help you to expertise the usage of Python in Data Science world. Carter your Python Knowledge so that it can be utilized to get the Insights of Data using Methodologies and Techniques of Data Science... Objective: Understand the concepts of Data science and Python You will be able to use Python in Discovering Data. You will have an idea of Statistical and Analytical methods to deal with huge data sets. You will gain an expertise on Regular Expressions, looping functions and concepts of Object Oriented Programming. You will be able to create business algorithms and data models using Python and it's techniques. Work on Real-life Projects will help you to get a practical experience of real scenarios of IT Industry. Start learning Python for Data Science from basics to advance levels here... https://goo.gl/070wXw

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pytest 5.1.2
by Bruno Oliveira Aug. 30, 2019

Aug. 30, 2019

pytest 5.1.2 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. To upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Andrzej Klajnert * Anthony Sottile * Bruno Oliveira * Christian Neumüller * Robert Holt * linchiwei123 Happy testing, The pytest Development Team

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[RELEASE] ACTION REQUIRED: Python 3.8.0b4 now available for testing
by Łukasz Langa Aug. 30, 2019

Aug. 30, 2019

It's time for the last beta release of Python 3.8. Go find it at: https://www.python.org/downloads/release/python-380b4/ <https://www.python.org/downloads/release/python-380b4/> This release is the last of four planned beta release previews. 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. The next pre-release of Python 3.8 will be 3.8.0c1, the first release candidate, currently scheduled for 2019-09-30. Call to action We strongly encourage maintainers of third-party Python projects to test with 3.8 during the beta phase and report issues found to the Python bug tracker as soon as possible. Please note this is the last beta release, there is not much time left to identify and fix issues before the release of 3.8.0. If you were hesitating trying it out before, now is the time. 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 (2019-09-30). Our goal is have no ABI changes after beta 3 and no code changes after 3.8.0c1, the release candidate. To achieve that, it will be extremely important to get as much exposure for 3.8 as possible during the beta phase. That beta phase is coming to an end. Please test now. Please keep in mind that this is a preview release and its use is not recommended for production environments. Acknowledgments Many developers worked hard for the past four weeks to squash remaining bugs, some requiring non-obvious decisions. Many thanks to the most active, namely Raymond Hettinger, Steve Dower, Victor Stinner, Terry Jan Reedy, Serhiy Storchaka, Pablo Galindo Salgado, Tal Einat, Zackery Spytz, Ronald Oussoren, Neil Schemenauer, Inada Naoki, Christian Heimes, and Andrew Svetlov. 3.8.0 would not reach the Last Beta without you. Thank you! - Ł

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cx_Freeze 6.0
by Anthony Tuininga Aug. 29, 2019

Aug. 29, 2019

What is cx_Freeze? cx_Freeze is a set of scripts and modules for freezing Python scripts into executables, in much the same way that py2exe and py2app do. Unlike these two tools, cx_Freeze is cross platform and should work on any platform that Python itself works on. It supports Python 3.5 or higher. For Python 2.7, use version 5. More information can be found at the web site: https://anthony-tuininga.github.io/cx_Freeze What's new? cx_Freeze 6.0 adds support for Python 3.7 and makes use of a number of improvements in Python 3. A lot of small improvements and bug fixes were made. The full release notes can be read here: https://cx-freeze.readthedocs.io/en/latest/releasenotes.html#version-6-0-au… . I want to thank Marcelo Duarte in particular for his help. Without him this release would have taken even longer than it already has and contained far fewer improvements and bug fixes! To install, use the following command: python -m pip install cx_Freeze --upgrade

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Guppy-PE/Heapy 0.1.11
by sverker nilsson Aug. 28, 2019

Aug. 28, 2019

I am happy to announce Guppy-PE 0.1.11 Guppy-PE is a library and programming environment for Python, currently providing in particular the Heapy subsystem, which supports object and heap memory sizing, profiling and debugging. It also includes a prototypical specification language, the Guppy Specification Language (GSL), which can be used to formally specify aspects of Python programs and generate tests and documentation from a common source. The main news in this release: Contains notes and check that this package is only for Python2. A version for Python3 is recommended and is available here: https://github.com/zhuyifei1999/guppy3 License: MIT The project homepage is on GitHub: https://svenil.github.io/guppy-pe/ Enjoy, Sverker Nilsson

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Trac 1.4 Released
by Ryan Ollos Aug. 27, 2019

Aug. 27, 2019

Trac 1.4, a major release of Trac, is now available. You will find this release at the usual places: https://trac.edgewall.org/wiki/TracDownload#LatestStableRelease You can find the detailed release notes for 1.4 on the following pages: https://trac.edgewall.org/wiki/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.4#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.4.tar.gz https://download.edgewall.org/trac/Trac-1.4-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.4.win32.exe https://download.edgewall.org/trac/Trac-1.4.win-amd64.exe MD5 sums: 9984fd689f3e6243aa70a32070dafd80 Trac-1.4.tar.gz 9bac160130eac9503f84eec30abb90e2 Trac-1.4-py2-none-any.whl 9d3ec371e378a8eb05b52ac3e410c8c4 Trac-1.4.win32.exe cebf594abbbd8a9da4e3cd0e94c3e866 Trac-1.4.win-amd64.exe SHA256 sums: a1ef354488d77bbce2aea016996fb71c76faf5f848d8c787703bad0d5e0ee5b1 Trac-1.4.tar.gz 4e2a312c7726eee302bb63b4f70cd43d5fa5f0a5eae253f05fef00a8f844b83c Trac-1.4-py2-none-any.whl 526670016f20cc43f04ba95455b68f155b2405e86fad0666aa84fab9484bdcd9 Trac-1.4.win32.exe d7b66ab1c2acb807c8517bf5511202fc1da9fc6c7d531ee3b60d860b02e5f751 Trac-1.4.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team https://trac.edgewall.org/

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NumPy 1.16.5 released
by Charles R Harris Aug. 27, 2019

Aug. 27, 2019

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.16.5 has been released. This release fixes bugs reported against the 1.16.4 release and backports several enhancements from master that seem appropriate for the LTS release series that is the last to support Python 2.7. Downstream developers should use Cython >= 0.29.2 and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy wheels on PyPI are built from the OpenBLAS development branch in order to avoid those problems. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.16.5/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.16.5>. *Contributors* A total of 18 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alexander Shadchin - Allan Haldane - Bruce Merry + - Charles Harris - Colin Snyder + - Dan Allan + - Emile + - Eric Wieser - Grey Baker + - Maksim Shabunin + - Marten van Kerkwijk - Matti Picus - Peter Andreas Entschev + - Ralf Gommers - Richard Harris + - Sebastian Berg - Sergei Lebedev + - Stephan Hoyer *Pull requests merged* A total of 23 pull requests were merged for this release. - gh-13742: ENH: Add project URLs to setup.py - gh-13823: TEST, ENH: fix tests and ctypes code for PyPy - gh-13845: BUG: use npy_intp instead of int for indexing array - gh-13867: TST: Ignore DeprecationWarning during nose imports - gh-13905: BUG: Fix use-after-free in boolean indexing - gh-13933: MAINT/BUG/DOC: Fix errors in _add_newdocs - gh-13984: BUG: fix byte order reversal for datetime64[ns] - gh-13994: MAINT,BUG: Use nbytes to also catch empty descr during allocation - gh-14042: BUG: np.array cleared errors occured in PyMemoryView_FromObject - gh-14043: BUG: Fixes for Undefined Behavior Sanitizer (UBSan) errors. - gh-14044: BUG: ensure that casting to/from structured is properly checked. - gh-14045: MAINT: fix histogram*d dispatchers - gh-14046: BUG: further fixup to histogram2d dispatcher. - gh-14052: BUG: Replace contextlib.suppress for Python 2.7 - gh-14056: BUG: fix compilation of 3rd party modules with Py_LIMITED_API... - gh-14057: BUG: Fix memory leak in dtype from dict contructor - gh-14058: DOC: Document array_function at a higher level. - gh-14084: BUG, DOC: add new recfunctions to `__all__` - gh-14162: BUG: Remove stray print that causes a SystemError on python 3.7 - gh-14297: TST: Pin pytest version to 5.0.1. - gh-14322: ENH: Enable huge pages in all Linux builds - gh-14346: BUG: fix behavior of structured_to_unstructured on non-trivial... - gh-14382: REL: Prepare for the NumPy 1.16.5 release. Cheers, Charles Harris

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Trac 1.2.5 Released
by Ryan Ollos Aug. 27, 2019

Aug. 27, 2019

Trac 1.2.5, the latest maintenance release for the current stable branch, is available. You will find this release at the usual places: https://trac.edgewall.org/wiki/TracDownload#LatestStableRelease You can find the detailed release notes for 1.2.5 on the following pages: https://trac.edgewall.org/wiki/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.2#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.2.5.tar.gz https://download.edgewall.org/trac/Trac-1.2.5-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.2.5.win32.exe https://download.edgewall.org/trac/Trac-1.2.5.win-amd64.exe MD5 sums: cc38738987a0e3065eb5f11e47a1664b Trac-1.2.5.tar.gz 4cd949d3709bfc2e49443bdbe6d86102 Trac-1.2.5-py2-none-any.whl 583f6c8d0368cef05d1e2f4d4c8e50b0 Trac-1.2.5.win32.exe 0bb8b373d0ef42fabadb20478ff9a6b7 Trac-1.2.5.win-amd64.exe SHA256 sums: 5e26309c19c8781e03ba3db2196f0eac4bfb95dae9d795cfe6a977ba488bc9e6 Trac-1.2.5.tar.gz 1ee48558362b6ffc2963b4c24c33b971582f996cf0f33e22ec7b4f63be75b19e Trac-1.2.5-py2-none-any.whl f7db9d26c58ac17750c4151d57fa446b1946247f1e9f5985a93f5a82c567752c Trac-1.2.5.win32.exe 6138830f3973f677225357716f6322c9fdf67fefffcb72b667dabb21b32d13e3 Trac-1.2.5.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team https://trac.edgewall.org/

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NumPy 1.17.1 released
by Charles R Harris Aug. 26, 2019

Aug. 26, 2019

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.17.1 has been released. This release contains a number of fixes for bugs reported against NumPy 1.17.0 along with a few documentation and build improvements. The Python versions supported are 3.5-3.7, note that Python 2.7 has been dropped. Python 3.8b3 should work with the released source packages, but there are no future guarantees. Downstream developers should use Cython >= 0.29.13 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy wheels on PyPI are built from the OpenBLAS development branch in order to avoid those problems. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.17.1/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.17.1>. *Contributors* A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alexander Jung + - Allan Haldane - Charles Harris - Eric Wieser - Giuseppe Cuccu + - Hiroyuki V. Yamazaki - Jérémie du Boisberranger - Kmol Yuan + - Matti Picus - Max Bolingbroke + - Maxwell Aladago + - Oleksandr Pavlyk - Peter Andreas Entschev - Sergei Lebedev - Seth Troisi + - Vladimir Pershin + - Warren Weckesser *Pull requests merged* A total of 24 pull requests were merged for this release. - gh-14156: TST: Allow fuss in testing strided/non-strided exp/log loops - gh-14157: BUG: avx2_scalef_ps must be static - gh-14158: BUG: Remove stray print that causes a SystemError on python 3.7. - gh-14159: BUG: Fix DeprecationWarning in python 3.8. - gh-14160: BLD: Add missing gcd/lcm definitions to npy_math.h - gh-14161: DOC, BUILD: cleanups and fix (again) 'build dist' - gh-14166: TST: Add 3.8-dev to travisCI testing. - gh-14194: BUG: Remove the broken clip wrapper (Backport) - gh-14198: DOC: Fix hermitian argument docs in svd. - gh-14199: MAINT: Workaround for Intel compiler bug leading to failing test - gh-14200: TST: Clean up of test_pocketfft.py - gh-14201: BUG: Make advanced indexing result on read-only subclass writeable... - gh-14236: BUG: Fixed default BitGenerator name - gh-14237: ENH: add c-imported modules for freeze analysis in np.random - gh-14296: TST: Pin pytest version to 5.0.1 - gh-14301: BUG: Fix leak in the f2py-generated module init and `PyMem_Del`... - gh-14302: BUG: Fix formatting error in exception message - gh-14307: MAINT: random: Match type of SeedSequence.pool_size to DEFAULT_POOL_SIZE. - gh-14308: BUG: Fix numpy.random bug in platform detection - gh-14309: ENH: Enable huge pages in all Linux builds - gh-14330: BUG: Fix segfault in `random.permutation(x)` when x is a string. - gh-14338: BUG: don't fail when lexsorting some empty arrays (#14228) - gh-14339: BUG: Fix misuse of .names and .fields in various places (backport... - gh-14345: BUG: fix behavior of structured_to_unstructured on non-trivial... - gh-14350: REL: Prepare 1.17.1 release Cheers, Charles Harris

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PythonOnWheels now supports Dash 1.0.2
by Klaas Aug. 26, 2019

Aug. 26, 2019

Hi, PythonOnWheels now supports Dash 1.0.2 I made a short Howto article here that runs an embedded DASH-app demo here: https://www.pythononwheels.org/dash Currently supported Dash and tools versions dash==1.0.2 dash-core-components==1.0.0 dash-html-components==1.0.0 dash-renderer==1.0.0 dash-table==4.0.2 By integrating Dash in PythonOnWheels you get the additional benefit to easily use the features of the framework, like: Simple Database access SQL (MySQL, Postgres, Oracle and more sqlalchemy ) NoSQL DBs like MongoDB and tinyDB. Easy API creation with handlers and routing Automatic view scaffolding for models. Integrated CSS Frameworks bootstrap4 and semanticUI Data Model validation Authentication (oAuth Google, Twitter, Facebook ..) Session Management (Secure Cookies)

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pytest 5.1.1 has been released!
by Anthony Sottile Aug. 20, 2019

Aug. 20, 2019

pytest 5.1.1 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. To upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Anthony Sottile * Bruno Oliveira * Daniel Hahler * Florian Bruhin * Hugo van Kemenade * Ran Benita * Ronny Pfannschmidt Happy testing, The pytest Development Team

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Pythran 0.9.3 - Hañv
by Serge Guelton Aug. 19, 2019

Aug. 19, 2019

Hi folks, I just released version 0.9.3 of the Pythran package, Short reminder: Pythran is an ahead-of-time compiler for scientific Python, with a focus on high-level numerical kernels, parallelism and vectorisation. Here is a simple kernel example, with a pythran annotation. Note that that kernel is still Python-compatible (from https://stackoverflow.com/questions/57199248/) : import numpy as np #pythran export col_sum(int[:,:] or float[:,:], int[:]) def col_sum(data, idx): return data.T[idx].sum(0) The Pythran package is available on PyPI, Github and Conda https://pypi.org/project/pythran/ https://anaconda.org/conda-forge/pythran https://github.com/serge-sans-paille/pythran The interested reader can have a look to the changelog for details https://pythran.readthedocs.io/en/latest/Changelog.html Long story short: bug fixes and better 32bit arch support. Plus (Thanks to Miro Hrončok), pythran is now available on Fedora \o/ Huge thanks to all contributors and bug reporters: Jean Laroche Yann Diorcet DWesl Miro Hrončok Piotr Bartmann Jochen Schröder Sylwester Arabas Marti Bosch rorroiga Pierre Augier Anubhab Haldar nbecker

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ANN: Lea 3.2.0 released
by pie.denis＠skynet.be Aug. 16, 2019

Aug. 16, 2019

Lea 3.2.0 is now released! ---> http://pypi.org/project/lea/3.2.0 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, machine learning and Probabilistic Programming (PP) features; these include conditional probabilities, Bayesian networks, joint probability distributions, Markov chains, EM algorithm and symbolic computation. Lea can be used for AI, PP, gambling, education, etc. LGPL - Python 2.6+ / Python 3 supported What's new in Lea 3.2.0? ------------------------ The version 3.2.0 extends Lea with machine learning features. This includes the Expectation-Maximization algorithm (EM). It allows you to learn parameters of probabilistic models having hidden variables. The machine learning features are now described comprehensively in a dedicated page of the wiki: http://bitbucket.org/piedenis/lea/wiki/Lea3_Tutorial_4. 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://arxiv.org/abs/1806.09997 With the hope that Lea can make this Universe less risky, Pierre Denis

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Twisted 19.7.0 Release Announcement
by Glyph Aug. 15, 2019

Aug. 15, 2019

On behalf of Twisted Matrix Laboratories and our long-suffering release manager Amber Brown, I am honored to announce[1] the release of Twisted 19.7.0! The highlights of this release include: A full description on the PyPI page! Check it out here: https://pypi.org/project/Twisted/19.7.0/ <https://pypi.org/project/Twisted/19.7.0/> (and compare to the slightly sad previous version, here: https://pypi.org/project/Twisted/19.2.1/ <https://pypi.org/project/Twisted/19.2.1/>) twisted.test.proto_helpers has been renamed to "twisted.internet.testing" This removes the gross special-case carve-out where it was the only "public" API in a test module, and now the rule is that all test modules are private once again. Conch's SSH server now supports hmac-sha2-512. The XMPP server in Twisted Words will now validate certificates! This is a very important security fix for any twisted.words / XMPP users. (See https://twistedmatrix.com/trac/ticket/9561 <https://twistedmatrix.com/trac/ticket/9561>) A nasty data-corruption bug in the IOCP reactor was fixed. If you're doing high-volume I/O on Windows you'll want to upgrade! Twisted Web no longer gives clients a traceback by default, both when you instantiate Site and when you use `twist web` on the command line. You can turn this behavior back on for local developemnt with `twist web --display-tracebacks`. Several bugfixes and documentation fixes resolving bytes/unicode type confusion in twisted.web. Python 3.4 is no longer supported. `pip install -U twisted[tls]` and enjoy all these enhancements today! Thanks for using Twisted, -glyph [1]: somewhat belatedly: it came out 10 days ago. Oops!

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pytest 5.1.0 released
by Bruno Oliveira Aug. 15, 2019

Aug. 15, 2019

The pytest team is proud to announce the 5.1.0 release! pytest is a mature Python testing tool with more than a 2000 tests against itself, passing on many different interpreters and platforms. This release contains a number of bugs fixes and improvements, so users are encouraged to take a look at the CHANGELOG: https://docs.pytest.org/en/latest/changelog.html For complete documentation, please visit: https://docs.pytest.org/en/latest/ As usual, you can upgrade from pypi via: pip install -U pytest Thanks to all who contributed to this release, among them: * Albert Tugushev * Alexey Zankevich * Anthony Sottile * Bruno Oliveira * Daniel Hahler * David Röthlisberger * Florian Bruhin * Ilya Stepin * Jon Dufresne * Kaiqi * Max R * Miro Hrončok * Oliver Bestwalter * Ran Benita * Ronny Pfannschmidt * Samuel Searles-Bryant * Semen Zhydenko * Steffen Schroeder * Thomas Grainger * Tim Hoffmann * William Woodall * Wojtek Erbetowski * Xixi Zhao * Yash Todi * boris * dmitry.dygalo * helloocc * martbln * mei-li Happy testing, The Pytest Development Team

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Trac 1.3.6 Released
by Ryan Ollos Aug. 14, 2019

Aug. 14, 2019

Trac 1.3.6, the latest development release leading up to Trac 1.4, is available. You will find this release at the usual places: https://trac.edgewall.org/wiki/TracDownload#LatestDevRelease You can find the detailed release notes for 1.3.6 on the following pages: https://trac.edgewall.org/wiki/1.3/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.3#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.3.6.tar.gz https://download.edgewall.org/trac/Trac-1.3.6-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.3.6.win32.exe https://download.edgewall.org/trac/Trac-1.3.6.win-amd64.exe MD5 sums: 1efa605c55fb9fb39df1cfa5d0ede95d Trac-1.3.6.tar.gz 283bfed3fd1f18ae4162ad29e2deff36 Trac-1.3.6-py2-none-any.whl cbd26a420d4ff987c15ef182d44dba63 Trac-1.3.6.win32.exe 89903a01dbd6f554d297040709a996d3 Trac-1.3.6.win-amd64.exe SHA256 sums: d3d35bf9861dcc8ae0e21fb46185ab828617a529834cfe83d295d284dcf17a6a Trac-1.3.6.tar.gz 6f048ddb1e922104858939705a870a1707e108a17bd6c2faecce5dc9b8a2edce Trac-1.3.6-py2-none-any.whl ed50b801080b1d2200d5921276b9427046c53d3ddffdd8566b3ba819b704cbb1 Trac-1.3.6.win32.exe 4b39eaf0afa4dc5d4b22bd11a761e8c123fc6bdc7ccaecfa97da40b7c0ad2e31 Trac-1.3.6.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team https://trac.edgewall.org/

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ANN: NumExpr 2.7.0 Release
by Robert McLeod Aug. 14, 2019

Aug. 14, 2019

========================= Announcing Numexpr 2.7.0 ========================= Hi everyone, This is a minor version bump for NumExpr. We would like to highlight the changes made in 2.6.9 (which in retrospect should have been a minor version bump), where the maximum number of threads spawned can be limited by setting the environment variable "NUMEXPR_MAX_THREADS". If this variable is not set, in 2.7.0 the historical limit of 8 threads will be used. The lack of a check caused some problems on very large hosts in cluster environments in 2.6.9. In addition, we are officially dropping Python 2.6 support in this release as we cannot perform continuous integration for it. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.6.9 to 2.7.0 ---------------------------- - The default number of 'safe' threads has been restored to the historical limit of 8, if the environment variable "NUMEXPR_MAX_THREADS" has not been set. - Thanks to @eltoder who fixed a small memory leak. - Support for Python 2.6 has been dropped, as it is no longer available via TravisCI. - A typo in the test suite that had a less than rather than greater than symbol in the NumPy version check has been corrected thanks to dhomeier. - The file `site.cfg` was being accidentally included in the sdists on PyPi. It has now been excluded. What's Numexpr? --------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Robert McLeod robbmcleod(a)gmail.com robert.mcleod(a)hitachi-hhtc.ca

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cx_Oracle 7.2.2
by Anthony Tuininga Aug. 12, 2019

Aug. 12, 2019

What is cx_Oracle? cx_Oracle is a Python extension module that enables access to Oracle Database for Python 3.x and 2.x and conforms to the Python database API 2.0 specifications with a number of enhancements. Where do I get it? https://oracle.github.io/python-cx_Oracle The easiest method to install/upgrade cx_Oracle is via pip as in python -m pip install cx_Oracle --upgrade What's new? This release addresses a number of small issues. See the release notes for more information. https://cx-oracle.readthedocs.io/en/latest/release_notes.html#version-7-2-2… Please provide any feedback via GitHub issues ( https://github.com/oracle/python-cx_Oracle/issues).

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ANN: A new version (0.4.5) of python-gnupg has been released.
by Vinay Sajip Aug. 12, 2019

Aug. 12, 2019

A new version of the Python module which wraps GnuPG has been released. What Changed?============= This is an enhancement and bug-fix release, and all users are encouraged toupgrade. Brief summary: * Fixed #107: Improved documentation. * Fixed #112: Raised a ValueError if a gnupghome is specified which is not an existing directory. * Fixed #113: Corrected stale link in the documentation. * Fixed #116: Updated documentation to clarify when spurious key-expired/ signature-expired messages might be seen. * Fixed #119: Added --yes to avoid pinentry when deleting secret keys with GnuPG >= 2.1. * A warning is logged if gpg returns a non-zero return code. * Added ``extra_args`` to ``import_keys``. * Added support for CI using AppVeyor. This release [2] has been signed with my code signing key: Vinay Sajip (CODE SIGNING KEY) <vinay_sajip at yahoo.co.uk>Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86 Recent changes to PyPI don't show the GPG signature with the download links.An alternative download source where the signatures are available is the project'sown downloads page [5]. What Does It Do?================The gnupg module allows Python programs to make use of thefunctionality provided by the Gnu Privacy Guard (abbreviated GPG orGnuPG). Using this module, Python programs can encrypt and decryptdata, digitally sign documents and verify digital signatures, manage(generate, list and delete) encryption keys, using proven Public KeyInfrastructure (PKI) encryption technology based on OpenPGP. This module is expected to be used with Python versions >= 2.4, as itmakes use of the subprocess module which appeared in that version ofPython. This module is a newer version derived from earlier work byAndrew Kuchling, Richard Jones and Steve Traugott. A test suite using unittest is included with the source distribution. Simple usage: >>> import gnupg>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')>>> gpg.list_keys() [{...'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2','keyid': '197D5DAC68F1AAB2','length': '1024','type': 'pub','uids': ['', 'Gary Gross (A test user) <gary.gr... at gamma.com>']},{...'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A','keyid': '0C5FEFA7A921FC4A','length': '1024',...'uids': ['', 'Danny Davis (A test user) <danny.da... at delta.com>']}]>>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A'])>>> str(encrypted) '-----BEGIN PGP MESSAGE-----\nVersion: GnuPG v1.4.9 (GNU/Linux)\n\nhQIOA/6NHMDTXUwcEAf.-----END PGP MESSAGE-----\n'>>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret')>>> str(decrypted) 'Hello, world!'>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')>>> verified = gpg.verify(str(signed))>>> print "Verified" if verified else "Not verified" 'Verified' As always, your feedback is most welcome (especially bug reports [3],patches and suggestions for improvement, or any other points via themailing list/discussion group [4]). Enjoy! Cheers Vinay SajipRed Dove Consultants Ltd. [1] https://bitbucket.org/vinay.sajip/python-gnupg[2] https://pypi.org/project/python-gnupg/0.4.5[3] https://bitbucket.org/vinay.sajip/python-gnupg/issues[4] https://groups.google.com/forum/#!forum/python-gnupg[5] https://bitbucket.org/vinay.sajip/python-gnupg/downloads/------------------…

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ANN: SciPy 1.3.1
by Tyler Reddy Aug. 8, 2019

Aug. 8, 2019

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.3.1, which is a bug fix release. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.3.1 One of a few ways to install this release with pip: pip install scipy==1.3.1 ========================== SciPy 1.3.1 Release Notes ========================== SciPy 1.3.1 is a bug-fix release with no new features compared to 1.3.0. Authors ======= * Matt Haberland * Geordie McBain * Yu Feng * Evgeni Burovski * Sturla Molden * Tapasweni Pathak * Eric Larson * Peter Bell * Carlos Ramos Carreño + * Ralf Gommers * David Hagen * Antony Lee * Ayappan P * Tyler Reddy * Pauli Virtanen A total of 15 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 1.3.1 ------------------------------- * `#5040 <https://github.com/scipy/scipy/issues/5040>`__: BUG: Empty data handling of (c)KDTrees * `#9901 <https://github.com/scipy/scipy/issues/9901>`__: lsoda fails to detect stiff problem when called from solve_ivp * `#10206 <https://github.com/scipy/scipy/issues/10206>`__: sparse matrices indexing with scipy 1.3 * `#10232 <https://github.com/scipy/scipy/issues/10232>`__: Exception in loadarff with quoted nominal attributes in scipy... * `#10292 <https://github.com/scipy/scipy/issues/10292>`__: DOC/REL: Some sections of the release notes are not nested correctly. * `#10303 <https://github.com/scipy/scipy/issues/10303>`__: BUG: optimize: `linprog` failing TestLinprogSimplexBland::test_unbounded_below_no_presolve_corrected * `#10376 <https://github.com/scipy/scipy/issues/10376>`__: TST: Travis CI fails (with pytest 5.0 ?) * `#10384 <https://github.com/scipy/scipy/issues/10384>`__: CircleCI doc build failing on new warnings * `#10398 <https://github.com/scipy/scipy/issues/10398>`__: Scipy 1.3.0 build broken in AIX * `#10501 <https://github.com/scipy/scipy/issues/10501>`__: BUG: scipy.spatial.HalfspaceIntersection works incorrectly * `#10514 <https://github.com/scipy/scipy/issues/10514>`__: BUG: cKDTree GIL handling is incorrect * `#10535 <https://github.com/scipy/scipy/issues/10535>`__: TST: master branch CI failures * `#10572 <https://github.com/scipy/scipy/issues/10572>`__: BUG: ckdtree query_ball_point errors on discontiguous input * `#10597 <https://github.com/scipy/scipy/issues/10597>`__: BUG: No warning on PchipInterpolator changing from bernstein base to local power base Pull requests for 1.3.1 ------------------------------ * `#10071 <https://github.com/scipy/scipy/pull/10071>`__: DOC: reconstruct SuperLU permutation matrices avoiding SparseEfficiencyWarning * `#10196 <https://github.com/scipy/scipy/pull/10196>`__: Fewer checks on xdata for curve_fit. * `#10207 <https://github.com/scipy/scipy/pull/10207>`__: BUG: Compressed matrix indexing should return a scalar * `#10233 <https://github.com/scipy/scipy/pull/10233>`__: Fix for ARFF reader regression (#10232) * `#10306 <https://github.com/scipy/scipy/pull/10306>`__: BUG: optimize: Fix for 10303 * `#10309 <https://github.com/scipy/scipy/pull/10309>`__: BUG: Pass jac=None directly to lsoda * `#10377 <https://github.com/scipy/scipy/pull/10377>`__: TST, MAINT: adjustments for pytest 5.0 * `#10379 <https://github.com/scipy/scipy/pull/10379>`__: BUG: sparse: set writeability to be forward-compatible with numpy>=1.17 * `#10426 <https://github.com/scipy/scipy/pull/10426>`__: MAINT: Fix doc build bugs * `#10431 <https://github.com/scipy/scipy/pull/10431>`__: Update numpy version for AIX * `#10457 <https://github.com/scipy/scipy/pull/10457>`__: BUG: Allow ckdtree to accept empty data input * `#10503 <https://github.com/scipy/scipy/pull/10503>`__: BUG: spatial/qhull: get HalfspaceIntersection.dual_points 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ANN: poliastro 0.13.0 released 🚀
by Juan Luis Cano Rodríguez Aug. 7, 2019

Aug. 7, 2019

Hi all, It fills us with astronomical joy to announce the release of poliastro 0.13.0! 🚀 poliastro is a pure Python library that allows you to simulate and analyze interplanetary orbits in a Jupyter notebook in an interactive and easy way, used in academia and the industry by people from all around the world. You can install it using pip or conda: conda install poliastro --channel conda-forge pip install poliastro This major release is packed with new features, especially the new CZML exporting capabilities and miscellaneous additions and important fixes on the algorithmic side. It also sets a new high in terms of contributors, which makes us extremely proud and thankful! You can read the full release notes in the documentation: https://docs.poliastro.space/en/v0.13.0/changelog.html#poliastro-0-13-0-201… If you want to know more, don't miss my talk on the Open Source Cubesat Worshop held at the European Space Operations Centre in 2017: https://youtu.be/KnoYzqAw_vM?t=1h36m14s Please join our chat on Matrix/Riot and feel free to ask any questions you might have: https://chat.openastronomy.org/#/room/#poliastro:matrix.org Per Python ad astra! -- Juan Luis Cano

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[Release] Pyo 1.0.0 (Python dsp library)
by Olivier Bélanger Aug. 7, 2019

Aug. 7, 2019

Hello all, After almost a year of hard work, I'm very glad to announce the release of pyo 1.0.0, available for python 2.7, 3.5, 3.6 and 3.7. Pyo is a Python module written in C to help real-time digital signal processing script creation. It provides a complete set of classes to build audio softwares, compose algorithmic musics or simply explore audio processing.It is available for Windows, macOS and linux. It is released under the LGPL 3 license. Official web site: http://ajaxsoundstudio.com/software/pyo/ pyo's documentation: http://ajaxsoundstudio.com/pyodoc/ Latest sources and bug tracker: https://github.com/belangeo/pyo The main change in this release is the installation process. The package is now uploaded to pypi.org and can be installed (for 32-bit or 64-bit) under MacOS, Windows and linux with pip. Just run the command: python -m pip install pyo For all the details and how to uninstall version prior to 1.0.0, see this page in the documentation: http://ajaxsoundstudio.com/pyodoc/download.html Bug Fixes: - Fixed phase of sawtooth and ramp waveforms in the LFO object. - Embedded: Fixed crash on first load when embedding pyo in a juce plugin. - Embedded: Remove the wx import before importing pyo to prevent a crash on MacOS. - Embedded: Added a BPM variable in the embedded interpreter and a function in PyoClass to change it according to the BPM of a DAW, for instance. - Embedded: Better handling of bad code when reading file in embedded pyo. - Fixed bug in OscDataSend.addAddress(). - Fixed BPF tables (LinTable, ExpTable, ...) memory allocation corruption. - Fixed SIGSEGV when multiplying a plain number and a base object. - Jack audio backend does not ignore duplex value anymore. New features: - Added PYO_SERVER_MIDI and PYO_SERVER_WINHOST environment variables to set default values for the audio server (user can also define PYO_SERVER_AUDIO). - Added one-sample delay function and sr constant to the Expr api. - Added complex numbers (and complex one-pole/one-zero filters) to the Expr API. - Added a new object: PyoGuiKeyboard, a virtual MIDI keyboard. - Added keyboard() method to the Notein object (opens a virtual midi keyboard). - Added computer keyboard bindings when the Notein's keyboard widget has the focus. - Added a getPyoExamples() function and changed example function to be able to execute one of the example. - Added a new object: SVF2, a 2-pole state variable filter with many filter types. - Added two arithmetic objects: Div and Sub. - CallAfter's time and arg arguments can be changed dynamically. - Fader and Adsr now send a trigger at the end of the envelope. - Added a clear() method to Linseg and Expseg objects. EPyo: - Fixed crash when trying to read a faulty preferences file. - Added auto complete for cpp file (from corresponding header file). - Added a 'Reload Current File' menu command. - Added zoomin/zoomout function in the documentation window (Ctrl-- and Ctrl-+). - Added multiple views (splitted windows) functionnality. - Fix search ctrl behaviour in the documentation window. Auto Start Children (new feature): These changes offer the possibility to control start/stop of all objects in a processing chain at once. See the documentation of the following methods for more details. - Server.setAutoStartChildren(). - PyoObjectBase.preventAutoStart(). - PyoObjectBase.useWaitTimeOnStop(). - PyoObjectBase.addLinkedObject(). - PyoObjectBase.setStopDelay(). - PyoObject.stop(). - PyoPVObject.stop(). New example categories: - Dynamic range of audio signals - Calling python functions from audio objects - Using tables - How to use MIDI with pyo - Multirate audio processing Olivier Belanger belangeo(a)gmail.com http://olivier.ajaxsoundstudio.com/ ---- <P><A HREF="http://ajaxsoundstudio.com/software/pyo/">Pyo 1.0.0</A> - short Python DSP library. (06-Aug-19)

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pytest 4.6.5 released!
by Bruno Oliveira Aug. 5, 2019

Aug. 5, 2019

pytest 4.6.5 has just been released to PyPI. The 4.6.X series is the last pytest series that still support Python 2.7 and 3.4, containing bug-fixes ported from the master branch. For more information, see our 2.7 and 3.4 support plan: https://docs.pytest.org/en/latest/py27-py34-deprecation.html To upgrade: pip install --upgrade pytest The full changelog is available at http://bit.ly/2Zvcxz0 Thanks to all who contributed to this release, among them: * Anthony Sottile * Bruno Oliveira * Daniel Hahler * Thomas Grainger Happy testing, The pytest Development Team

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Leo 6.0 final released
by Edward K. Ream Aug. 2, 2019

Aug. 2, 2019

Leo 6.0 final, http://leoeditor.com, is now available on GitHub <https://github.com/leo-editor/leo-editor>. Leo is an IDE, outliner and PIM, as described here <http://leoeditor.com/preface.html>. *The highlights of Leo 6.0* - Leo now requires python 3.6 or above. This greatly simplifies Leo's code. - Leo's default gui uses Qt Docks. Use --no-dock to use Leo's legacy gui. - Several commands now generate clickable links in the Log pane. This greatly speeds navigation. - The usual assortment of bug fixes and minor improvements. *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 Leo: http://leoeditor.com/ ------------------------------------------------------------------------------------------

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