Mailman 3 May 2015 - Python-announce-list

CFFI 1.0.1 released
by Armin Rigo May 21, 2015

May 21, 2015

Hi all, CFFI 1.0.1 final has now been released for CPython! CFFI is a (CPython and PyPy) module to interact with C code from Python. The main news from CFFI 0.9 is the new way to build extension modules: the "out-of-line" mode, where you have a separate build script. When this script is executed, it produces the extension module. This comes with associated Setuptools support that fixes the headache of distributing your own CFFI-using packages. It also massively cuts down the import times. Read more about it at: http://morepypy.blogspot.com Armin Rigo

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Trac 1.0.6 Released
by Ryan Ollos May 20, 2015

May 20, 2015

Trac 1.0.6 Released =================== Trac 1.0.6, the sixth maintenance release for the current stable branch, is now available! You will find this release at the usual places: http://trac.edgewall.org/wiki/TracDownload#LatestStableRelease https://pypi.python.org/pypi/Trac/1.0.6.post2 Trac 1.0.5 was release on 24th of March and we've provided over 20 fixes and minor enhancements since then. A few highlights from this release: - Hash changeset ids and branch names can be used in revision ranges (#11050). - Improved rendering performance using chunked response when [trac] use_chunked_encoding is True (#11802). - Improved performance of Git repositories (#11971). - Header to send when [trac] use_xsendfile is True can be specified through the option [trac] xsendfile_header. X-Sendfile is supported in Nginx by specifying X-Accel-Redirect for the header (#11981). - Symbolic link can be used for conf/trac.ini in environment directory (#12000). - Hyphen character can be used in WikiProcessor parameter name (#12023). Additionally, the fixes for 0.12.7 are included in this release. You can find the detailed release notes for 1.0.6 on the following pages: http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Now to the packages themselves: URLs: http://download.edgewall.org/trac/Trac-1.0.6.post2.tar.gz http://download.edgewall.org/trac/Trac-1.0.6.post2.win32.exe http://download.edgewall.org/trac/Trac-1.0.6.post2.win-amd64.exe http://download.edgewall.org/trac/Trac-1.0.6.post2.zip MD5 sums: 8ffd8dc24ddedfff0ec4d7d70c7f3a01 Trac-1.0.6.post2.tar.gz 266160df714308dc5e808c0cf675fc32 Trac-1.0.6.post2.win32.exe 3d615eb88b9d378afb306813ffa02d02 Trac-1.0.6.post2.win-amd64.exe bc464944f4799fb559e0ca6d05e61ffd Trac-1.0.6.post2.zip SHA1 sums: 7740698da88cf415c4b27df362c753bfc61b0441 Trac-1.0.6.post2.tar.gz 864376e575b1b53d7ab6fb0702033d5a434c9eda Trac-1.0.6.post2.win32.exe fa93f861a3303fb7a3914cf2a52faf7fef25ce1d Trac-1.0.6.post2.win-amd64.exe 7a47a6e452a18d759a995bf64077d84d54c0802a Trac-1.0.6.post2.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 offer hope that Trac will prove itself 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 python-taiga 0.2.0
by Andrea Stagi May 20, 2015

May 20, 2015

python-taiga 0.2.0 released! This release includes custom attributes support and stats for projects and milestones. python-taiga is a python module for communicating with the Taiga.io, a new project management platform, for more info https://taiga.io/ You can find python-taiga code on Github https://github.com/nephila/python- taiga Any kind of contribution is appreciated! :) -- Andrea Stagi (@4stagi) - DeveLover @Nephila Job profile: http://linkedin.com/in/andreastagi Website: http://4spills.blogspot.it/ Github: http://github.com/astagi

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pytest-2.7.1: bugfix release, wheel support, yield fixtures
by Floris Bruynooghe May 19, 2015

May 19, 2015

pytest-2.7.1: bugfix release, wheel support and yield fixtures ============================================================== pytest is a mature Python testing tool with more than a 1100 tests against itself, passing on many different interpreters and platforms. This release is supposed to be drop-in compatible to 2.7.0. The most user-visible changes are that wheels are now available on pypi and yield fixtures are no longer marked as experimental, they are here to stay. See below for the changes and see docs at: http://pytest.org As usual, you can upgrade from pypi via:: pip install -U pytest Thanks to all who contributed to this release, among them: Bruno Oliveira Holger Krekel Ionel Maries Cristian Floris Bruynooghe Happy testing, The py.test Development Team 2.7.1 (compared to 2.7.0) ------------------------- - fix issue731: do not get confused by the braces which may be present and unbalanced in an object's repr while collapsing False explanations. Thanks Carl Meyer for the report and test case. - fix issue553: properly handling inspect.getsourcelines failures in FixtureLookupError which would lead to to an internal error, obfuscating the original problem. Thanks talljosh for initial diagnose/patch and Bruno Oliveira for final patch. - fix issue660: properly report scope-mismatch-access errors independently from ordering of fixture arguments. Also avoid the pytest internal traceback which does not provide information to the user. Thanks Holger Krekel. - streamlined and documented release process. Also all versions (in setup.py and documentation generation) are now read from _pytest/__init__.py. Thanks Holger Krekel. - fixed docs to remove the notion that yield-fixtures are experimental. They are here to stay :) Thanks Bruno Oliveira. - Support building wheels by using environment markers for the requirements. Thanks Ionel Maries Cristian. - fixed regression to 2.6.4 which surfaced e.g. in lost stdout capture printing when tests raised SystemExit. Thanks Holger Krekel. - reintroduced _pytest fixture of the pytester plugin which is used at least by pytest-xdist.

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Twisted 15.2 Release Announcement
by HawkOwl May 19, 2015

May 19, 2015

On behalf of Twisted Matrix Labs, I'm honoured to announce the release of Twisted 15.2. Bringing not only headlining features but also a lot of incremental improvements, this release has got plenty to like: - twisted.logger has landed! This is a brand-new, feature-rich logging framework. - Python 3.4 is now a supported platform for all the Py3 ported modules. - twisted.trial.unittest.TestCase's assertEqual, assertTrue, and assertFalse methods now pass through the standard library's more informative failure messages. - twisted.python.filepath.FilePath now supports Unicode (text) paths properly, and includes as{Bytes,Text}Mode methods for interacting with APIs that require a text/bytes-only FilePath. - twisted.mail.smtp.sendmail now supports ESMTP and provides a high-level interface for sending mail. - The following parts of Twisted are now ported to Python 3: - twisted.internet.process - twisted.cred.credentials - twisted.python.modules - twisted.internet.kqreactor - twisted.internet.endpoints.ProcessEndpoint - twisted.web.static - Over 50 tickets closed since 15.1. You can find the downloads at https://pypi.python.org/pypi/Twisted (or alternatively http://twistedmatrix.com/trac/wiki/Downloads). 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, HawkOwl

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ANN: Bokeh 0.9.0 released
by Damian Avila May 18, 2015

May 18, 2015

Hi all, We are excited to announce the release of version *0.9.0* of Bokeh, an interactive web plotting library for Python... and other languages! This release was focused into allow sophisticated interactions in static plots, a complete rewrite of the User guide and big BokehJS refactoring switching to use broswerify. Some of the highlights are: * Callback Action, serverless interactivity in static plots * Hover inspection along lines * Client side LOD downsampling for interactive tools * Full User guide rewrite * Reduce BokehJS boilerplate and switch to use browserify * Several example bugfixes See the CHANGELOG for full details. If you are using Anaconda/miniconda, you can install with conda: * conda install bokeh* or directly from our Binstar main channel with: * conda install -c bokeh bokeh* Alternatively, you can install with pip: *pip install bokeh* Developer builds are also now made available to get features in the hands of interested users more quickly. See the Developer Builds <http://bokeh.pydata.org/en/latest/docs/installation.html#developer-builds> section in the documentation for more details. BokehJS is also available by CDN for use in standalone Javascript applications: * http://cdn.pydata.org/bokeh/release/bokeh-0.9.0.min.js * http://cdn.pydata.org/bokeh/release/bokeh-0.9.0.min.css Finally, BokehJS is also installable with the Node Package Manager at https://www.npmjs.com/package/bokehjs Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io Cheers. -- *Damián Avila* *Continuum Analytics* *damian.avila(a)continuum.io <damian.avila(a)continuum.io>*

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Trac 1.1.5 Released
by Ryan Ollos May 18, 2015

May 18, 2015

Trac 1.1.5 Released =================== Trac 1.1.5 continues the 1.1.x development line leading to 1.2 with some new features and a few not-so-disruptive changes. Note that the 1.1.x releases are "stable" and tested snapshots of the trunk. They can be seen as sub-milestones on the road towards Trac 1.2. As opposed to maintenance releases, *we offer no guarantees on feature and API compatibility from one 1.1.x release to the next*. However, by following 1.1.x you get a chance to use new features earlier, and therefore be able to contribute feedback when things are still in flux. It's also less risky than just getting the latest trunk, as we won't cut a 1.1.x release in the middle of a series of changes (though we had and still intend to have a good record of keeping things always working on trunk). The intended audience are therefore enthusiast Trac users and Trac plugin developers. These packages should *not* be integrated in distributions, for example. Here are a few highlights: - Corrected highlighting of unmodified values in Config section of the About Trac page ([#6551). - New helper methods on `DatabaseManager` class for plugins to upgrade the database (#8172). - New `[notification-subscriber]` config section for general configuration of notification subscription defaults and `SubscriberList` macro (#11875). - Removed dependency on `ConfigObj` for TracFineGrainedPermissions (#11982). - `Image` macro supports InterWiki prefixes (#12025). Besides the few issues listed here, the fixes made for 0.12.7 and 1.0.6 are also included. You can find all the detailed release notes at: - http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.1#DevelopmentReleases - http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Download URLs: http://download.edgewall.org/trac/Trac-1.1.5.tar.gz http://download.edgewall.org/trac/Trac-1.1.5.win32.exe http://download.edgewall.org/trac/Trac-1.1.5.win-amd64.exe http://download.edgewall.org/trac/Trac-1.1.5.zip MD5 sums: 8f53ae0f9cd4b0a0b55f0e273dae3c37 Trac-1.1.5.zip c4547e2b6c7e1b174ccafa47227159e1 Trac-1.1.5.tar.gz 3dd67a28440487742264d0f87ace26e2 Trac-1.1.5.win32.exe be7c34e53f429e90dc0bfd7840f6b3e1 Trac-1.1.5.win-amd64.exe SHA1 sums: e00d8211cf558424efa98a36d90e9d39aad5e1b3 Trac-1.1.5.zip 29ffaa71a5256c6b514a5e5442de78718e5be1ed Trac-1.1.5.tar.gz 5f6f851f662c7fbd1bd6d83e7b5953452b400fe1 Trac-1.1.5.win32.exe 418f84f854c0059b7823152db2813620a03d7589 Trac-1.1.5.win-amd64.exe Enjoy! - The Trac Team http://trac.edgewall.org/

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winpysetup easy setup of multiple python versions on a clean windows system
by Anthon van der Neut May 18, 2015

May 18, 2015

I am happy to announce the availability of winpysetup version 0.2 dd 2015-05-18 Winpysetup ( https://bitbucket.org/ruamel/winpysetup/ ) allows setting up a clean testing on Windows for multiple python versions without downloading and installing MSI installers, prerequisites, all the time waiting for the last to finish in order to click a few options to start the next install. - install Windows (or clone your clean Windows Virtual Machine) - Download winpysetup.exe and start it. ( https://bitbucket.org/ruamel/winpysetup/downloads/winpysetup.exe ) - Once the program is done (now is a good time to make another snapshot if you run Windows in a VM), open a new Command Prompt (to get the change in PATH) and change to a directory without spaces in the path (e.g. C:\src). - Run: hg clone --insecure https://hg@bitbucket.org/ruamel/minimal - Change to the minimal directory and run tox. - Watch how tox invokes py.test succesfully against Python 2.7/2.6/3.3/3.4 and pypy (you can of course run tox immediately on your own, more interesting, code as well). Installed items include: pip, easy_install, mercurial, tox, detox, py.test and the Visual C compiler for Python 2.7 Special hooks can change the behavior of the installer. In particular: - the list of python versions to install can be easily extended/reduced - the list of default packages to install can be extended/reduced winpysetup has been testen on: WinXP with Service Pack 2 (32 bit) Windows 7 (32 and 64 bit) Feedback is welcome, in particular if tested on other Windows environments to which I currently don't have access. Thanks to Holger Krekel for confirming that automating a Windows box setup would be a good idea, and to the VirtualBox developers for making the execution of 250+ test installs less time consuming.

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[ANN] bcolz v0.9.0
by Valentin Haenel May 17, 2015

May 17, 2015

====================== Announcing bcolz 0.9.0 ====================== What's new ========== This is mostly a smallish feature and bugfix release. One large topic was implementing 'addcol' and 'delcol' to properly handle on-disk tables. 'addcol' now has a new keyword argument 'move' that allows you to specify if you want to move or copy the data. 'delcol' has a new keyword argument 'keep' which allows you preserve the data on disk when removing a column. Additionally, ctable now supports an 'auto_flush' keyword that makes it flush to disk automatically after any methods that may write data. Another important aspect is handling the GIL. In this release, we do keep the GIL while calling Blosc compress and decompress in order to support lock-free operation of newer Blosc versions (1.5.x and beyond) that no longer have a global state. Furthermore we now distribute the 'carray_ext.pxd' as part of the package via PyPi to ease building applications on bcolz, for example *bquery*. Finally, the Sphinx based API documentation is now autogenerated from the docstrings in the Python sources. For the full list, please check the release notes at: https://github.com/Blosc/bcolz/blob/v0.9.0/RELEASE_NOTES.rst What it is ========== *bcolz* provides columnar and compressed data containers that can live either on-disk or in-memory. Column storage allows for efficiently querying tables with a large number of columns. It also allows for cheap addition and removal of column. In addition, bcolz objects are compressed by default for reducing memory/disk I/O needs. The compression process is carried out internally by Blosc, an extremely fast meta-compressor that is optimized for binary data. Lastly, high-performance iterators (like ``iter()``, ``where()``) for querying the objects are provided. bcolz can use numexpr internally so as to accelerate many vector and query operations (although it can use pure NumPy for doing so too). numexpr optimizes the memory usage and use several cores for doing the computations, so it is blazing fast. Moreover, since the carray/ctable containers can be disk-based, and it is possible to use them for seamlessly performing out-of-memory computations. bcolz has minimal dependencies (NumPy), comes with an exhaustive test suite and fully supports both 32-bit and 64-bit platforms. Also, it is typically tested on both UNIX and Windows operating systems. Together, bcolz and the Blosc compressor, are finally fulfilling the promise of accelerating memory I/O, at least for some real scenarios: http://nbviewer.ipython.org/github/Blosc/movielens-bench/blob/master/queryi… Other users of bcolz are Visualfabriq (http://www.visualfabriq.com/) the Blaze project (http://blaze.pydata.org/), Quantopian (https://www.quantopian.com/) and Scikit-Allel (https://github.com/cggh/scikit-allel) which you can read more about by pointing your browser at the links below. * Visualfabriq: * *bquery*, A query and aggregation framework for Bcolz: * https://github.com/visualfabriq/bquery * Blaze: * Notebooks showing Blaze + Pandas + BColz interaction: * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-csv.ipynb * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-bcolz.ip… * Quantopian: * Using compressed data containers for faster backtesting at scale: * https://quantopian.github.io/talks/NeedForSpeed/slides.html * Scikit-Allel * Provides an alternative backend to work with compressed arrays * https://scikit-allel.readthedocs.org/en/latest/bcolz.html Installing ========== bcolz is in the PyPI repository, so installing it is easy:: $ pip install -U bcolz Resources ========= Visit the main bcolz site repository at: http://github.com/Blosc/bcolz Manual: http://bcolz.blosc.org Home of Blosc compressor: http://blosc.org User's mail list: bcolz(a)googlegroups.com http://groups.google.com/group/bcolz License is the new BSD: https://github.com/Blosc/bcolz/blob/master/LICENSES/BCOLZ.txt Release notes can be found in the Git repository: https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst ---- **Enjoy data!**

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EuroPython 2015: Come with your partners
by M.-A. Lemburg May 16, 2015

May 16, 2015

We are happy to announce the official EuroPython Partner Program for EuroPython 2015 in Bilbao: *** EuroPython 2015 Partner Program *** https://ep2015.europython.eu/en/events/partner-program/ There is plenty to see in and around Bilbao. We have worked out a set of interesting tours, together with a local tour company to choose from, for partners and EuroPython attendees alike: * Panoramic tour of Bilbao * Excursion to San Sebastian * Guggenheim Museum * Excursion to La Rioja * Boat tour of Bilbao The tours include travel, lunch and tickets (where needed). We’d like to encourage early sign-up, since seats are limited. Registration deadline is June 20th. Enjoy, -- EuroPython 2015 Team http://ep2015.europython.eu/ http://www.europython-society.org/

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