Mailman 3 November 2018 - Python-announce-list

pytest 4.0.0 released!
by Bruno Oliveira Nov. 14, 2018

Nov. 14, 2018

The pytest team is proud to announce the 4.0.0 release! This version is near identical to 3.10 feature-wise, except now pytest's own deprecated features generate errors, but they can be turned back into warnings as a stop gap measure until 4.1. Users are *strongly* encouraged to take a look at the CHANGELOG for instructions and rationale about the deprecated functionality: 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! Happy testing, The Pytest Development Team

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PyScripter v3.5 relased
by pyscripter＠gmail.com Nov. 14, 2018

Nov. 14, 2018

PyScripter is a free and open-source Python Integrated Development Environment (IDE) created with the ambition to become competitive in functionality with commercial Windows-based IDEs available for other languages. It is feature-rich, but also light-weight. This release contains important new features including: - Opening and working with remote files from Windows and Linux machines as if they were local. - Running and debugging scripts on remote Windows and Linux machines using SSH. See: Announcement: https://pyscripter.blogspot.com/ Project home: https://github.com/pyscripter/pyscripter/ Features: https://github.com/pyscripter/pyscripter/wiki/Features Downloads: https://sourceforge.net/projects/pyscripter/files

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ANN: Python Meeting Düsseldorf - 07.11.2018
by eGenix Team: M.-A. Lemburg Nov. 13, 2018

Nov. 13, 2018

[This announcement is in German since it targets a local user group meeting in Düsseldorf, Germany] ________________________________________________________________________ ANKÜNDIGUNG PyDDF Python Herbst Sprint 2018 in Düsseldorf Samstag, 17.11.2018, 10:00-18:00 Uhr Sonntag, 18.11.2018, 10:00-18:00 Uhr trivago N.V., Kesselstrasse 5-7, 40221 Düsseldorf Python Meeting Düsseldorf https://www.pyddf.de/sprint2018-11/ ________________________________________________________________________ INFORMATION Das Python Meeting Düsseldorf (PyDDF) veranstaltet mit freundlicher Unterstützung der *trivago N.V.* ein Python Sprint Wochenende. Der Sprint findet am Wochenende 17./18.11.2018 in der trivago Niederlassung im Medienhafen Düsseldorf statt (Achtung: Nicht mehr am Karl-Arnold-Platz). * Google Maps: https://goo.gl/maps/dGM6ThfkLiJ2 Folgende Themengebiete haben wir als Anregung angedacht: * Openpyxl - https://pythonhosted.org/openpyxl/ * SMS Forwarder - SMS an Email Adresse oder Chat weiterleiten * Python auf einem Raspberry Pi - Cluster * Django for Runners Natürlich kann jeder Teilnehmer weitere Themen vorschlagen. Alles weitere und die Anmeldung findet Ihr auf der Sprint Seite: https://www.pyddf.de/sprint2018-11/ WICHTIG: Ohne Anmeldung können wir kein Badge für den Gebäudezugang bereitstellen lassen. Eine spontane Anmeldung am Sprint Tag wird daher vermutlich nicht funktionieren. Also bitte unbedingt mit vollen Namen bis spätestens Freitag, 16.11., anmelden. Teilnehmer sollten sich zudem auf der PyDDF Liste anmelden, da wir uns dort koordinieren: https://www.egenix.com/mailman/listinfo/pyddf ________________________________________________________________________ ÜBER UNS Das Python Meeting Düsseldorf (PyDDF) ist eine regelmäßige Veranstaltung in Düsseldorf, die sich an Python Begeisterte aus der Region wendet: * https://pyddf.de/ Einen guten Überblick über die Vorträge bietet unser YouTube-Kanal, auf dem wir die Vorträge nach den Meetings veröffentlichen: * http://www.youtube.com/pyddf/ Veranstaltet wird das Meeting von der eGenix.com GmbH, Langenfeld, in Zusammenarbeit mit Clark Consulting & Research, Düsseldorf: * http://www.egenix.com/ * http://www.clark-consulting.eu/ Mit freundlichen Grüßen, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, Nov 13 2018) >>> Python Projects, Coaching and Consulting ... http://www.egenix.com/ >>> Python Database Interfaces ... http://products.egenix.com/ >>> Plone/Zope Database Interfaces ... http://zope.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 http://www.egenix.com/company/contact/ http://www.malemburg.com/

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PyCA cryptography 2.4.1 (and 2.4) released
by Paul Kehrer Nov. 12, 2018

Nov. 12, 2018

PyCA cryptography 2.4.1 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 2.7, Python 3.4+, and PyPy. Changelog (https://cryptography.io/en/latest/changelog/#v2-4-1): * Fixed a build breakage in our manylinux1 wheels. Changelog (https://cryptography.io/en/latest/changelog/#v2-4): * BACKWARDS INCOMPATIBLE: Dropped support for LibreSSL 2.4.x. * Deprecated OpenSSL 1.0.1 support. OpenSSL 1.0.1 is no longer supported by the OpenSSL project. At this time there is no time table for dropping support, however we strongly encourage all users to upgrade or install cryptography from a wheel. * Added initial OCSP support. * Added support for PrecertPoison. -Paul Kehrer (reaperhulk)

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pytest 3.10.1 released
by Bruno Oliveira Nov. 11, 2018

Nov. 11, 2018

pytest 3.10.1 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 * Boris Feld * Bruno Oliveira * Daniel Hahler * Fabien ZARIFIAN * Jon Dufresne * Ronny Pfannschmidt Happy testing, The pytest Development Team

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Wing Python IDE 6.1.2 released
by Wingware Nov. 9, 2018

Nov. 9, 2018

Hi, We've just released Wing 6.1.2 <http://wingware.com/news/2018-11-08>, which allows creating a new virtualenv <https://wingware.com/doc/howtos/virtualenv> from the New Project dialog, implements VI mode inner/all text object operations such as ciw and das, exits VI insert mode when jk is typed rapidly, fixes reporting of top-level exceptions and skipped tests in pytest, supports goto-definition links <https://wingware.com/doc/edit/source-assistant-goto-definition> in docstrings, allows setting the main debug file from editor tabs and the Open Files tool, remembers current tab in preferences and properties dialogs, and makes many other improvements.For details, see https://wingware.com/pub/wingide/6.1.2/CHANGELOG.txt Download Now <https://wingware.com/downloads> About Wing Wingware's family of cross-platform <http://wingware.com/doc/install/supported-platforms> Python IDEs make Python development easier, with powerful integrated editing, debugging, unit testing, and project management features. Wing runs on Windows, Linux, and OS X, and can be used to develop any kind of Python code for web, desktop, scientific, data analysis, embedded scripting, and other applications. Version 6 introduces many new features, including improved multi-selection <https://wingware.com/doc/edit/multiple-selections>, much easier remote development <https://wingware.com/doc/proj/remote-hosts>, debugging from the Python Shell <https://wingware.com/doc/debug/shell-debugging>, recursive debugging <http://wingware.com/doc/debug/debug-probe-debugging>, PEP 484 and 526 type hinting <https://wingware.com/doc/edit/helping-wing-analyze-code>, PEP 8 reformatting <https:/wingware.com/doc/edit/pep8>, support for Python 3.6 and 3.7, ability to create a new virtualenv <https://wingware.com/doc/howtos/virtualenv> from the New Project dialog, improved VI mode, support for Vagrant <https://wingware.com/doc/howtos/vagrant>, Jupyter <https://wingware.com/doc/howtos/jupyter>, Django <https://wingware.com/doc/howtos/django> 1.10+ and 2.0, and Windows Subsystem for Linux <https://wingware.com/doc/howtos/wsl>, improved support for matplotlib <https://wingware.com/doc/howtos/matplotlib>, easier Raspberry Pi <https://wingware.com/doc/howtos/raspberry> development, optimized debugger, OS X full screen mode, One Dark color palette, Russian localization (thanks to Alexandr Dragukin), expanded free product line, and much more. For details, see What's New in Wing Version 6 <https://wingware.com/wingide/whatsnew>. Wing 6 works with Python versions 2.5 through 2.7 and 3.2 through 3.7, including also Anaconda, ActivePython, EPD, Stackless, and others derived from the CPython implementation. <https://wingware.com/downloads/wing-101>Wing Pro <https://wingware.com/downloads/wing-pro> requires purchasing <https://wingware.com/store/purchase> or upgrading <https://wingware.com/store/upgrade> a license, or obtaining a 30-day trial at startup. Wing 101 <https://wingware.com/downloads/wing-101> and Wing Personal <https://wingware.com/downloads/wing-personal> are free versions that omit some features <https://wingware.com/downloads>. For more product information, please visit wingware.com <https://wingware.com/> Upgrading You can try Wing 6 without removing older versions. Wing 6 will read and convert your old preferences, settings, and projects. Projects should be saved to a new name since previous versions of Wing cannot read Wing 6 projects. See also Migrating from Older Versions <https://wingware.com/doc/install/migrating> and Upgrading <https://wingware.com/doc/install/upgrading>. Links Release notice: https://wingware.com/news/2018-11-08 Downloads and Free Trial: https://wingware.com/downloads Buy: https://wingware.com/store/purchase Upgrade: https://wingware.com/store/upgrade Questions? Don't hesitate to email us at support(a)wingware.com. Thanks, -- Stephan Deibel Wingware | Python IDE The Intelligent Development Environment for Python Programmers wingware.com

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PyDev 7.0.3 Released
by Fabio Zadrozny Nov. 9, 2018

Nov. 9, 2018

PyDev 7.0.3 Release Highlights ------------------------------- * **Mypy** * PyDev can now use Mypy when doing code analysis. * **Black Formatter** * PyDev can now use black as the code formatting engine. * **Virtual environments** * It's now possible to use pipenv for managing virtual environments. * It's possible to manage virtual environments from the editor. * Ctrl+2, pip <command> * Ctrl+2, pipenv <command> * Ctrl+2, conda <command> * **Debugger** * Should be **much** faster for those on Python 3.6 onwards with cython extensions (using frame evaluation). * The Python 3.7 grammar is now available as an option (even though it's the same as 3.6). * Removed support for using the Python 2.4 grammar. * The 2to3 integration shows a better dialog. * It's possible to autogenerate docstring parameters using the Google Code format (patch by ghbcode). About PyDev --------------------------- PyDev is an open-source Python IDE on top of Eclipse for Python, Jython and IronPython development, now also available for Python on Visual Studio Code. It comes with goodies such as code completion, syntax highlighting, syntax analysis, code analysis, refactor, debug, interactive console, etc. It is also available as a standalone through LiClipse with goodies such as multiple cursors, theming and support for many other languages, such as Django Templates, Jinja2, Html, JavaScript, etc. Links: PyDev: http://pydev.org PyDev Blog: http://pydev.blogspot.com PyDev on VSCode: http://pydev.org/vscode LiClipse: http://www.liclipse.com PyVmMonitor - Python Profiler: http://www.pyvmmonitor.com/ Cheers, Fabio Zadrozny

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Pythran 0.9.0 - kozhamzer
by serge guelton Nov. 6, 2018

Nov. 6, 2018

Hi all, It is my pleasure to announce the release of version 0.9.0 of the Pythran compiler, a compiler for numerical kernels written in Python. It is available for download on PyPI; pip install pythran And on Conda through conda-forge: conda install -c conda-forge pythran The major change of this release is undoubtedly the use of xsimd [0] as the new vectorization engine, which in turns enables vectorization of complex number expressions! All the details are in the changelog reproduced below. And an outstanding new: looks like Pythran is used at least in one research team at Facebook \o/ In spite of the short window, we received *a lot* of bug report, thanks a lot to @DerWeh, @KOLANICH, @RalphFS, @ashwinvis, @diorcety, @h-vetinari, @jeanlaroche, @lw3259111, @paugier, @vgroff for reporting and sometimes fixing issues. Special thanks go to @wolfv and @JohanMabille for the xsimd support. We're getting closer to 1.0, which will probably be the first one to drop 2.7 support (goal: 2020). Until then, happy computations! -- Serge [0] https://github.com/QuantStack/xsimd ===== 2018-11-06 Serge Guelton <serge.guelton(a)telecom-bretagne.eu> * Moving to xsimd as vectorization engine, requires -DUSE_XSIMD * Better support of view conversion from Python to Pythran * Improved Cython integration * Improved documentation, add example section * Updated ArchLinux Packaging * Remove useless warnings during compilation * Faster ``abs(x**2)`` for complex numbers * IPython magic now accepts most optimization flags * Automatic detection of partially (or fully) constant shape for arrays * Add ignoreflags settings to .pythranrc to skip some compiler flags * Quad number (aka long double) basic support * And many minor bugfixes, as usual :-)

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[ANN] python-blosc 1.6.2
by Valentin Haenel Nov. 5, 2018

Nov. 5, 2018

============================= Announcing python-blosc 1.6.2 ============================= What is new? ============ The `import numpy` statement in `toplevel.py` has been moved to a later point. This makes python-blosc usable without needing numpy once again. This behaviour changed in 1.6.1 and has now been reversed to restore the old behaviour. For more info, you can have a look at the release notes in: https://github.com/Blosc/python-blosc/blob/master/RELEASE_NOTES.rst More docs and examples are available in the documentation site: http://python-blosc.blosc.org What is it? =========== Blosc (http://www.blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. python-blosc (http://python-blosc.blosc.org/) is the Python wrapper for the Blosc compression library, with added functions (`compress_ptr()` and `pack_array()`) for efficiently compressing NumPy arrays, minimizing the number of memory copies during the process. python-blosc can be used to compress in-memory data buffers for transmission to other machines, persistence or just as a compressed cache. There is also a handy tool built on top of python-blosc called Bloscpack (https://github.com/Blosc/bloscpack). It features a commmand line interface that allows you to compress large binary datafiles on-disk. It also comes with a Python API that has built-in support for serializing and deserializing Numpy arrays both on-disk and in-memory at speeds that are competitive with regular Pickle/cPickle machinery. Sources repository ================== The sources and documentation are managed through github services at: http://github.com/Blosc/python-blosc ---- **Enjoy data!**

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NumPy 1.15.4 release
by Charles R Harris Nov. 4, 2018

Nov. 4, 2018

Hi All, On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.15.4. This is a bugfix release for bugs and regressions reported following the 1.15.3 release. The most noticeable fix is probably having a boolean type fill value for masked arrays after the use of `==` and `!=`. The Python versions supported by this release are 2.7, 3.4-3.7. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.15.4/>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.15.4>. Compatibility Note ================== The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit binaries. That will also be the case in future releases. See `#11625 < https://github.com/numpy/numpy/issues/11625>`__ for the related discussion. Those needing 32-bit support should look elsewhere or build from source. Contributors ============ A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Matti Picus - Sebastian Berg - bbbbbbbbba + Pull requests merged ==================== A total of 4 pull requests were merged for this release. - `#12296 <https://github.com/numpy/numpy/pull/12296>`__: BUG: Dealloc cached buffer info - `#12297 <https://github.com/numpy/numpy/pull/12297>`__: BUG: Fix fill value in masked array '==' and '!=' ops. - `#12307 <https://github.com/numpy/numpy/pull/12307>`__: DOC: Correct the default value of `optimize` in `numpy.einsum` - `#12320 <https://github.com/numpy/numpy/pull/12320>`__: REL: Prepare for the NumPy 1.15.4 release Cheers, Charles Harris

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