Mailman 3 July 2016 - Python-announce-list

Vulture 0.10 released
by Jendrik Seipp 14 Jul '16

14 Jul '16

vulture - Find dead code ======================== Vulture finds unused classes, functions and variables in your code. This helps you cleanup and find errors in your programs. If you run it on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused. Nonetheless, vulture can be a very helpful tool for higher code quality. Download ======== http://pypi.python.org/pypi/vulture Features ======== * fast: uses static code analysis * lightweight: only one module * tested: tests itself and has 100% test coverage * complements *pyflakes* and has the same output syntax * supports Python 2.6, 2.7 and 3.x News ==== * Detect unused function and method arguments (issue #15). * Detect unused *args and **kwargs parameters. * Change license from GPL to MIT. Cheers, Jendrik

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Sphinx-1.4.5 released
by Komiya Takeshi 13 Jul '16

13 Jul '16

Hi all, I'm delighted to announce the release of Sphinx 1.4.5, now available on the Python package index at <http://pypi.python.org/pypi/Sphinx>. It includes about 2 incompatible changes, 3 features added and 22 bug fixes for the 1.4.4 release series. For the full changelog, go to <http://www.sphinx-doc.org/en/stable/changes.html>. Thanks to all collaborators and contributers! What is it? =========== Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText source files). Website: http://sphinx-doc.org/ IRC: #sphinx-doc on irc.freenode.net Enjoy! -- Takeshi KOMIYA

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[ANN] MicroPython 1.8.2
by Paul Sokolovsky 12 Jul '16

12 Jul '16

Hello, MicroPython is a lean and efficient Python3 implementation for microcontrollers, embedded, mobile, and IoT systems (which also runs just as fine on desktops, servers, and clouds). v1.8.2 brings initial proof-of-concept multi-threading support in the form of the _thread module, which closely matches the semantics of the corresponding CPython module. There is support for GIL and non-GIL builds; without the GIL enabled one must protect concurrent access to mutable Python state at the Python level using Lock objects. Threading with the GIL is enabled in the cc3200 port on the WiPy. Threading without the GIL is enabled on the unix port. The ESP8266 port has support for frozen bytecode (for scripts in the modules/ subdirectory), as well as optimisations for reduced memory usage and decreased memory fragmentation. The ESP8266 RTC also resumes correctly after a deepsleep. An initial "btree" module has been implemented for embedded database support (unix port only), and the documentation has been further improved, with pre-built PDF versions of the docs now available. Detailed changelog: https://github.com/micropython/micropython/releases/tag/v1.8.2 -- Best regards, Paul mailto:pmiscml@gmail.com

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[RELEASE] Python 3.6.0a3 is now available
by Ned Deily 12 Jul '16

12 Jul '16

On behalf of the Python development community and the Python 3.6 release team, I'm happy to announce the availability of Python 3.6.0a3. 3.6.0a3 is the third of four planned alpha releases of Python 3.6, the next major release of Python. During the alpha phase, Python 3.6 remains under heavy development: additional features will be added and existing features may be modified or deleted. Please keep in mind that this is a preview release and its use is not recommended for production environments. You can find Python 3.6.0a3 here: https://www.python.org/downloads/release/python-360a3/ The next release of Python 3.6 will be 3.6.0a4, currently scheduled for 2016-08-15. --Ned -- Ned Deily nad(a)python.org -- []

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Pylint 1.6.0 released
by Claudiu Popa 08 Jul '16

08 Jul '16

Hi folks, I am joyful to announce the release of Pylint 1.6.0. This is the next minor release in the 1.X branch and most probably the last one, since we are preparing the taking off of Pylint 2.0. This release has a couple of small improvements, bug fixes and new checks, comparing to the last one. You can find more about was changed in this release here: https://docs.pylint.org/en/1.6.0/whatsnew/1.6.html https://docs.pylint.org/en/1.6.0/whatsnew/changelog.html#what-s-new-in-pyli… As usual, don't hesitate to report any new bugs you might encounter with this release. We are also looking for new contributors, so if you feel like taking a stab at a bug or a feature you would like in pylint, open up an issue and let's talk! We are also planning to do releases more often from now on and you can see what we are planning for the next releases here: https://github.com/PyCQA/pylint/milestones Thank you and enjoy, Claudiu Popa

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Python 3 Flask web-based curve and surface fitter
by zunzun.com＠gmail.com 07 Jul '16

07 Jul '16

I made a Python 3 web-based curve and surface fitting application using Flask, the URL is: https://github.com/zunzun/FlaskFit/

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EuroPython 2016: Last day to get tickets at regular rate
by M.-A. Lemburg 07 Jul '16

07 Jul '16

We will be switching to the on-desk rates for tickets tomorrow, so today is your last chance to get tickets at the regular rate, which is about 30% less than the on-desk rate: EuroPython 2016 Registration *** https://ep2016.europython.eu/registration/ *** Day Passes ---------- As in the past, we will also sell day passes at the conference venue. To make things more affordable especially for students and other people who want to attend the Beginners’ Day or the sprints, we have split the day pass prices into ones valid from Monday-Friday for the main conference days and ones for the weekend days. Day passes for the first Sunday (Beginners’ Day) and the sprints weekend (valid for the day when they are purchased): * Student weekend day pass: EUR 25.00 * Personal weekend day pass: EUR 70.00 * Business weekend day pass: EUR 110.00 Day passes for the main conference (valid for the day when they are purchased): * Student conference day pass: EUR 50.00 * Personal conference day pass: EUR 140.00 * Business conference day pass: EUR 225.00 All prices include 10% Spanish VAT. Please see the registration page for full details of what is included in the ticket price. With gravitational regards, -- EuroPython 2016 Team http://ep2016.europython.eu/ http://www.europython-society.org/ PS: Please forward or retweet to help us reach all interested parties: https://twitter.com/europython/status/750955219975016448 Thanks.

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Twisted 16.3.0 Release Announcement
by Amber Hawkie Brown 06 Jul '16

06 Jul '16

On behalf of Twisted Matrix Laboratories, I am honoured to announce the release of Twisted 16.3.0. The highlights of this release are: - The Git migration has happened, so we've updated our development documentation to match. We're now trialling accepting pull requests at github.com/twisted/twisted, so if you've ever wanted an excuse to contribute, now's the chance! - In our steady shedding of baggage, twisted.spread.ui, twisted.manhole (not to be confused with twisted.conch.manhole!), and a bunch of old and deprecated stuff from twisted.python.reflect and twisted.protocols.sip have been removed. - twisted.web's HTTP server now handles pipelined requests better -- it used to try and process them in parallel, but this was fraught with problems and now it processes them in series, which is less surprising to code that expects the Request's transport to not be buffered (e.g. WebSockets). There is also a bugfix for HTTP timeouts not working in 16.2. - Twisted now has HTTP/2 support in its web server! This is currently not available by default -- you will need to install hyper-h2, which is available in the [h2] setuptools extras. If you want to play around with it "pip install twisted[h2]" (on Python 2, a bugfix release will make it available on Python 3) and add "h2" to your Site's acceptableProtocols. - 53 tickets closed overall, including cleanups that move us closer to a total Python 3 port. For more information, check the NEWS file (link provided below). You can find the downloads at <https://pypi.python.org/pypi/Twisted> (or alternatively <http://twistedmatrix.com/trac/wiki/Downloads>). The NEWS file is also available at <https://github.com/twisted/twisted/blob/twisted-16.3.0/NEWS>. Many thanks to everyone who had a part in this release - the supporters of the Twisted Software Foundation, the developers who contributed code as well as documentation, and all the people building great things with Twisted! Twisted Regards, Amber Brown (HawkOwl)

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Trac 1.0.12 released
by Ryan Ollos 05 Jul '16

05 Jul '16

Trac 1.0.12 Released ==================== Trac 1.0.12, the latest maintenance release for the current stable branch, is available. You will find this release at the usual places: http://trac.edgewall.org/wiki/TracDownload#LatestStableRelease https://pypi.python.org/pypi/Trac/1.0.12 Trac 1.0.12 provides around 20 bug fixes and minor enhancements. You can find the detailed release notes for 1.0.12 on the following pages: https://trac.edgewall.org/wiki/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.0.12-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.0.12.tar.gz https://download.edgewall.org/trac/Trac-1.0.12.win32.exe https://download.edgewall.org/trac/Trac-1.0.12.win-amd64.exe https://download.edgewall.org/trac/Trac-1.0.12.zip MD5 sums: 9db944eccaf104d097e131fb842161c6 Trac-1.0.12-py2-none-any.whl 941e333b0c0c81d5c4f4e086174a26e7 Trac-1.0.12.tar.gz fb58c243355114c24d91f38964cfbbb4 Trac-1.0.12.win32.exe 9d3c4460cf05165add70a507ba6828bb Trac-1.0.12.win-amd64.exe 4f9bc8de1d4a22bbcd8454e6903148b5 Trac-1.0.12.zip SHA1 sums: 75bccaee5af86f7994a52e0e83c40d1cf5fb0acb Trac-1.0.12-py2-none-any.whl 56534447e5c2f81fe43381e99468653c58d46670 Trac-1.0.12.tar.gz 49decdb9d2a7898e899c07d7e8edc13523fe1791 Trac-1.0.12.win32.exe 939cd197febe0e3f42a6086d5129749173f29c21 Trac-1.0.12.win-amd64.exe 1829c663124d137eddb2c92f8c11b0c7cb1ae571 Trac-1.0.12.zip 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 http://trac.edgewall.org/

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ANN PyTables 3.2.3 released.
by Tom Kooij 05 Jul '16

05 Jul '16

=========================== Announcing PyTables 3.2.3 =========================== We are happy to announce PyTables 3.2.3. What's new ========== This is a bug fix release. It solves many issues reported in the months since the release of 3.2.2. In case you want to know more in detail what has changed in this version, please refer to: http://www.pytables.org/release_notes.html For an online version of the manual, visit: http://www.pytables.org/usersguide/index.html What it is? =========== PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second. Resources ========= About PyTables: http://www.pytables.org Github: http://www.github.com/PyTables/PyTables About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments =============== Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy makers. Without them, PyTables simply would not exist. Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- **Enjoy data!** -- The PyTables Developers

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