Python-announce-list January 2017

python-announce-list@python.org

29 participants
37 discussions

pytest 3.0.6 released
by opensoruce＠ronnypfannschmidt.de 23 Jan '17

23 Jan '17

pytest-3.0.6 ============ pytest 3.0.6 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 http://doc.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Andreas Pelme * Bruno Oliveira * Dmitry Malinovsky * Eli Boyarski * Jakub Wilk * Jeff Widman * Loïc Estève * Luke Murphy * Miro Hrončok * Oscar Hellström * Peter Heatwole * Philippe Ombredanne * Ronny Pfannschmidt * Rutger Prins * Stefan Scherfke Happy testing, The pytest Development Team

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cx_Freeze repository moved
by Anthony Tuininga 22 Jan '17

22 Jan '17

All, I have just moved the cx_Freeze repository from BitBucket to GitHub. The new location is https://github.com/anthony-tuininga/cx_Freeze If anyone has a GitHub account and wishes their contributions to be recognised, please send me an e-mail with your GitHub account and I will update the link. The issues have been migrated from BitBucket to GitHub. The web page is now using GitHub pages and can be found here. Older links will be updated over the coming days with forwarding links. https://anthony-tuininga.github.io/cx_Freeze/ Anthony

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[RELEASED] Python 3.4.6 and Python 3.5.3 are now available
by Larry Hastings 17 Jan '17

17 Jan '17

On behalf of the Python development community and the Python 3.4 and Python 3.5 release teams, I'm delighted to announce the availability of Python 3.4.6 and Python 3.5.3. Python 3.4 is now in "security fixes only" mode. This is the final stage of support for Python 3.4. Python 3.4 now only receives security fixes, not bug fixes, and Python 3.4 releases are source code only--no more official binary installers will be produced. Python 3.5 is still in active "bug fix" mode. Python 3.5.3 contains many incremental improvements over Python 3.5.2. There were literally no code changes between rc1 and final for either release. The only change--apart from the necessary updates from "rc1" to final--was a single copyright notice update for one of the OS X ".plist" property list files in 3.5.3 final. You can find Python 3.5.3 here: https://www.python.org/downloads/release/python-353/ And you can find Python 3.4.6 here: https://www.python.org/downloads/release/python-346/ Best wishes, //arry/

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ANN: Python Meeting Düsseldorf - 18.01.2017
by eGenix Team: M.-A. Lemburg 16 Jan '17

16 Jan '17

[This announcement is in German since it targets a local user group meeting in Düsseldorf, Germany] ________________________________________________________________________ ANKÜNDIGUNG Python Meeting Düsseldorf http://pyddf.de/ Ein Treffen von Python Enthusiasten und Interessierten in ungezwungener Atmosphäre. Mittwoch, 18.01.2017, 18:00 Uhr Raum 1, 2.OG im Bürgerhaus Stadtteilzentrum Bilk Düsseldorfer Arcaden, Bachstr. 145, 40217 Düsseldorf Diese Nachricht ist auch online verfügbar: http://www.egenix.com/company/news/Python-Meeting-Duesseldorf-2017-01-18 ________________________________________________________________________ NEUIGKEITEN * Bereits angemeldete Vorträge: Charlie Clark "Kurze Einführung in openpyxl und Pandas" Jochen Wersdörfer "CookieCutter" Marc-Andre Lemburg "Optimierung in Python mit PuLP" Weitere Vorträge können gerne noch angemeldet werden: info(a)pyddf.de * Startzeit und Ort: Wir treffen uns um 18:00 Uhr im Bürgerhaus in den Düsseldorfer Arcaden. Das Bürgerhaus teilt sich den Eingang mit dem Schwimmbad und befindet sich an der Seite der Tiefgarageneinfahrt der Düsseldorfer Arcaden. Über dem Eingang steht ein großes "Schwimm' in Bilk" Logo. Hinter der Tür direkt links zu den zwei Aufzügen, dann in den 2. Stock hochfahren. Der Eingang zum Raum 1 liegt direkt links, wenn man aus dem Aufzug kommt. Google Street View: http://bit.ly/11sCfiw ________________________________________________________________________ EINLEITUNG Das Python Meeting Düsseldorf ist eine regelmäßige Veranstaltung in Düsseldorf, die sich an Python Begeisterte aus der Region wendet: * http://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/ ________________________________________________________________________ PROGRAMM Das Python Meeting Düsseldorf nutzt eine Mischung aus (Lightning) Talks und offener Diskussion. Vorträge können vorher angemeldet werden, oder auch spontan während des Treffens eingebracht werden. Ein Beamer mit XGA Auflösung steht zur Verfügung. (Lightning) Talk Anmeldung bitte formlos per EMail an info(a)pyddf.de ________________________________________________________________________ KOSTENBETEILIGUNG Das Python Meeting Düsseldorf wird von Python Nutzern für Python Nutzer veranstaltet. Um die Kosten zumindest teilweise zu refinanzieren, bitten wir die Teilnehmer um einen Beitrag in Höhe von EUR 10,00 inkl. 19% Mwst, Schüler und Studenten zahlen EUR 5,00 inkl. 19% Mwst. Wir möchten alle Teilnehmer bitten, den Betrag in bar mitzubringen. ________________________________________________________________________ ANMELDUNG Da wir nur für ca. 20 Personen Sitzplätze haben, möchten wir bitten, sich per EMail anzumelden. Damit wird keine Verpflichtung eingegangen. Es erleichtert uns allerdings die Planung. Meeting Anmeldung bitte formlos per EMail an info(a)pyddf.de ________________________________________________________________________ WEITERE INFORMATIONEN Weitere Informationen finden Sie auf der Webseite des Meetings: http://pyddf.de/ Mit freundlichen Grüßen, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, Jan 16 2017) >>> 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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NumPy 1.12.0 release
by Charles R Harris 16 Jan '17

16 Jan '17

Hi All, I'm pleased to announce the NumPy 1.12.0 release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY <https://pypi.python.org/pypi?%3Aaction=pkg_edit&name=numpy>, the tarball and zip files may be downloaded from Github <https://github.com/numpy/numpy/releases/tag/v1.12.0>. The release notes and files hashes may also be found at Github <https://github.com/numpy/numpy/releases/tag/v1.12.0> . NumPy 1.12.0rc 2 is the result of 418 pull requests submitted by 139 contributors and comprises a large number of fixes and improvements. Among the many improvements it is difficult to pick out just a few as standing above the others, but the following may be of particular interest or indicate areas likely to have future consequences. * Order of operations in ``np.einsum`` can now be optimized for large speed improvements. * New ``signature`` argument to ``np.vectorize`` for vectorizing with core dimensions. * The ``keepdims`` argument was added to many functions. * New context manager for testing warnings * Support for BLIS in numpy.distutils * Much improved support for PyPy (not yet finished) Enjoy, Chuck

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[ANN] PyInstaller 3.2.1
by Hartmut Goebel 16 Jan '17

16 Jan '17

Hello, on behalf of the PyInstaller development team I'm happy to announce PyInstaller 3.2.1, the long awaited bug-fix release http://www.pyinstaller.org Thanks for all those who contributed questions, bug-reports or pull-requests. === What it is === PyInstaller bundles a Python application and all its dependencies into a single package. The user can run the packaged app without installing a Python interpreter or any modules. PyInstaller reads a Python script written by you. It analyzes your code to discover every other module and library your script needs in order to execute. Then it collects copies of all those files – including the active Python interpreter! – and puts them with your script in a single folder, or optionally in a single executable file. PyInstaller is tested against Windows, Mac OS X, and Linux. However, it is not a cross-compiler: to make a Windows app you run PyInstaller in Windows; to make a Linux app you run it in Linux, etc. PyInstaller has been used successfully with AIX, Solaris, and FreeBSD, but is not tested against them. === Installation === PyInstaller can be installed from PyPi using pip install pyinstaller === Changes === - Many bug fixes and internal enhancements, the most important ones are: - (Windows) Fix additional dependency on the msvcrt10.dll (#1974) - (OS X) PyQt5 packaging issues on MacOS (#1874) - (Bootloader) fix segfaults (#2176) - Some new, fixed or enhanced hooks. The full changelog for this release can be found at: https://pyinstaller.readthedocs.io/en/v3.2.1/CHANGES.html === Feedback === We're eager to listen to your feedback on using PyInstaller: Bug tracker: https://github.com/pyinstaller/pyinstaller/issues Mailing list: http://groups.google.com/group/PyInstaller -- Schönen Gruß Hartmut Goebel Dipl.-Informatiker (univ), CISSP, CSSLP, ISO 27001 Lead Implementer Information Security Management, Security Governance, Secure Software Development Goebel Consult, Landshut http://www.goebel-consult.de Blog: http://www.goebel-consult.de/blog/bewertung-pgp-verschlusselung-bei-web.de-… Kolumne: http://www.cissp-gefluester.de/2012-01-in-die-cloud-in-die-cloud-aber-wo-so…

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Nikola v7.8.3 is out! (emergency bugfix release)
by Chris Warrick 13 Jan '17

13 Jan '17

On behalf of the Nikola team, I am pleased to announce the immediate availability of Nikola v7.8.3. This is an emergency bugfix release, which fixes a bug that prevented ``nikola new_page`` from working. There has also been a minor change to post sorting order (won’t affect most sites). The wheel packages have also been fixed (they now exist for Python 2 and 3, with correct doit versioning). What is Nikola? =============== Nikola is a static site and blog generator, written in Python. It can use Mako and Jinja2 templates, and input in many popular markup formats, such as reStructuredText and Markdown — and can even turn Jupyter (IPython) Notebooks into blog posts! It also supports image galleries, and is multilingual. Nikola is flexible, and page builds are extremely fast, courtesy of doit (which is rebuilding only what has been changed). Find out more at the website: https://getnikola.com/ Downloads ========= Install using `pip install Nikola` or download tarballs on GitHub and PyPI: https://github.com/getnikola/nikola/releases/tag/v7.8.3 https://pypi.python.org/pypi/Nikola/7.8.3 Changes ======= Features -------- * Sort posts chronologically with one unified function (easier to change). (Issue #2627) * Sort posts in the following order (most important last): source path (A-Z), title (A-Z), date (reverse chronological order), priority meta number (descending). (Issue #2627) Bugfixes -------- * Fix a bug that prevents ``nikola new_page`` from working (Issue #2631)

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prophy 1.0.0 released
by Krzysztof Laskowski 13 Jan '17

13 Jan '17

Hi All, I'd like to announce prophy 1.0.0, the serialization framework. Like protobuf, thrift, capnproto, flatbuffers or SBE, it comes with: - protocol definition language, - wire-format specification, - compiler which generates codecs, - runtime libraries for codecs. Codecs come in Python and C++ languages. Protocol/wire-format follows C language struct with natural alignment, possibly with flexible arrays at the end, so performance of encoding/decoding is expected to be rather good, although protocol is quite limited. Embedded systems is where such resource effective protocol could be helpful. License: MIT Code: https://github.com/aurzenligl/prophy Docs: http://prophy.readthedocs.io/en/latest/ Pypi: https://pypi.python.org/pypi/prophy Issues: https://github.com/aurzenligl/prophy/issues I'm open to feedback and suggestions, which I'd happily receive via mail or github issues. Best Regards, Krzysztof Laskowski

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Wing IDE 6.0.1 released
by Wingware 12 Jan '17

12 Jan '17

Hi, We've just released Wing IDE 6.0.1 which improves remote host configuration, adds remote development support for 32-bit Linux and older 64-bit Linux systems, fixes stability problems affecting some users, and makes many other improvements. For details on this release, see the change log at http://wingware.com/pub/wingide/6.0.1/CHANGELOG.txt Wing IDE 6 is the latest major release of Wingware's Python IDE that adds many new features, introduces a new annual license option, and makes some changes to the product line. New Features * Improved Multiple Selections: Quickly add selections and edit them all at once * Easy Remote Development: Work seamlessly on remote Linux, OS X, and Raspberry Pi systems * Debugging in the Python Shell: Reach breakpoints and exceptions in (and from) the Python Shell * Recursive Debugging: Debug code invoked in the context of stack frames that are already being debugged * PEP 484 and PEP 526 Type Hinting: Inform Wing's static analysis engine of types it cannot infer * Support for Python 3.6 and Stackless 3.4: Use async and other new language features * Optimized debugger: Run faster, particularly in multi-process and multi-threaded code * Support for OS X full screen mode: Zoom to a virtual screen, with auto-hiding menu bar * Added a new One Dark color palette: Enjoy the best dark display style yet * Updated French and German localizations: Thanks to Jean Sanchez, Laurent Fasnacht, and Christoph Heitkamp For a much more detailed overview of new features see the release notice at http://wingware.com/news/2017-01-10 Annual Use License Option Wing 6 adds the option of purchasing a lower-cost expiring annual license for Wing IDE Pro. An annual license includes access to all available Wing IDE versions while it is valid, and then ceases to function if it is now renewed. Pricing for annual licenses is US$ 179/user for Commercial Use and US$ 69/user for Non-Commercial Use. Perpetual licenses for Wing IDE will continue to be available at the same pricing. The cost of extending Support+Upgrades subscriptions on Non-Commercial Use perpetual licenses for Wing IDE Pro has also been dropped from US$ 89 to US$ 39 per user. For details, see https://wingware.com/store/purchase Wing Personal is Free Wing IDE Personal is now free and no longer requires a license to run. It now also includes the Source Browser, PyLint, and OS Commands tools, and supports the scripting API and Perspectives. However, Wing Personal does not include Wing Pro's advanced editing, debugging, testing and code management features, such as remote host access, refactoring, find uses, version control, unit testing, interactive debug probe, multi-process and child process debugging, move program counter, conditional breakpoints, debug watch, framework-specific support (for matplotlib, Django, and others), find symbol in project, and other features. Links Release notice: http://wingware.com/news/2017-01-10 Free trial: http://wingware.com/wingide/trial Downloads: http://wingware.com/downloads Feature list: http://wingware.com/wingide/features Buy: http://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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ANN: AnacondaCON February 7-9, Austin TX --- Python powered Open Data Science Conference
by Travis Oliphant 12 Jan '17

12 Jan '17

AnacondaCON February 7-9, Austin Texas http://anacondacon17.io 3-day Anaconda Open Data Science User Conference celebrating a strong Python success story. Hello everyone, It has been 5 years since Peter Wang and I started Continuum Analytics with the objective of expanding the commercial adoption of Python for data-science, quantitative, computational, and numerical computing. Thanks to the amazing community and my colleagues at Continuum we've seen that objective come to fruition and company after company is choosing Python as their forward looking numerical computing modeling and data-science language. We created Anaconda to make it easy for individuals and organizations to adopt the rich suite of tools and libraries that are commonly used by scientists, engineers, and mathematicians. As Anaconda has lowered the barrier for people to adopt the open data science software stack we've seen a significant increase in use by people who previously were unlikely to move beyond Excel, and organizations who are recognizing the kind of value that a strategic investment in Python can bring them. Nearly 8 million people have downloaded Anaconda this year many of whom are using Python for the first time (and choosing Python 3.X). It's been a dream come true to see all of our early efforts around SciPy, NumPy, and Python come to fruition in the enterprise. It's been an incredible journey and is something the Python community can and should celebrate. With that background I am excited to announce AnacondaCON, a 3 day Anaconda user conference happening February 7-9 in Austin Texas. We currently have 2-for-1 pricing until January 16th (2 tickets for $999). We have an amazing line up of speakers from industry, government, academia and, of course, Continuum. https://anacondacon17.io/speakers/ Peter and I will both be speaking there. I will be speaking about the future of open data science including what community-oriented open-source technologies we specifically will be working on and contributing to that continue the success of numpy, scipy, pandas, conda, numba, bokeh, dask, spyder, holoviews, phosphorjs, jupyter, and more. I will also be discussing some ideas we are pursuing on the future of array computing for Python 3.X and how to build a substructure for vector computing that integrates better with the broader Python ecosystem and is inspired by and can use the typing hints becoming popular in Python 3.X. Python's future in technical computing and data science has never been brighter and AnacondaCON is a great opportunity to connect with an interesting segment of this larger community and catch up with others interested in enterprise adoption of Python for data science and numerical / technical computing. I really hope to see you there. Best, Travis Oliphant

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Python-announce-list January 2017