Python-announce-list February 2014

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39 discussions

asyncio 0.4.1 released
by Guido van Rossum 04 Mar '14

04 Mar '14

*** NOTE: Python 3.3 only! This module is in the stdlib in Python 3.4. *** On the heels of Python 3.4.0rc2, I've put a new version of the asyncio package for Python 3.3 on PyPI: https://pypi.python.org/pypi/asyncio/0.4.1 There's a source distro and a 32-bit Windows wheel. (For 64-bit Windows I could use some help.) About asyncio: it's a new stdlib module for asynchronous I/O based on the "yield from" statement that was added to Python 3.3. It was inspired by Twisted and the async support in Tornado (amongst other influences). The original code name for the project is Tulip and this is where the latest developments happen: http://code.google.com/p/tulip/. Also check out PEP 3156: http://python.org/dev/peps/pep-3156/. For Python 2 and 3.2, Victor Stinner has created a backport named Trollius: https://pypi.python.org/pypi/trollius/0.1.5 -- --Guido van Rossum (python.org/~guido)

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ANN: Python Job Board - Call for volunteers
by M.-A. Lemburg 27 Feb '14

27 Feb '14

[Please help spread the word by forwarding to other relevant mailing lists, user groups, etc. world-wide; thanks :-)] Dear Python Community, for many years, the Python Job board (http://legacy.python.org/community/jobs/) was run by volunteers - most of the time by just one volunteer at a time until they moved on to spend their time on other things. We've now reached such a point again. In these years, the volume on the job board has significantly increased, as it got more and more popular. It is now at around 2-5 postings per day and most of those positions get filled quickly - which is an indication of how useful this service is to the Python community. To scale up and revive the job board, the PSF would now like to setup a *team of volunteers* to run the job board and this is our call for help. How does the job board work ? ----------------------------- At the moment, the job board is maintained on the legacy site (http://legacy.python.org/community/jobs/), but since we've launched our brand new website (http://www.python.org/), we'd like to move the job board over to that site. Instead of the repository based approach used on the old site, the new site has database support to aid in more easily processing and filing job listings. There's a job board mailing list which helps coordinate the task of reviewing and filing job offers. Currently, all job submissions get sent to this mailing list, but with the job board app, the submission process can be moved over to the website's database. What does it take to run the job board ? ---------------------------------------- You have to review the job postings, request changes if they are too long, don't clearly state the need for Python skills, or have quality issues. After review, the job board app will then allow posting the jobs on the website by simply setting the status to published. Communication with the submitters is usually done by email and via the mailing list, so all team members can see the communication and help out if necessary. Please note: This is just a high level overview. The details need to be hashed out by the new team. Does the job board app work already ? ------------------------------------- It does, but is disabled at the moment due to lack of volunteers. Since the site just launched there may also well be some issues with the job board app. On the positive side there's a lot happening around the site at the moment, so if you have change requests, these will usually be implemented quickly - or you can jump in, hack on the job board app and submit a pull request yourself: https://github.com/python/pythondotorg/tree/master/jobs These are exciting times and this is your chance to make a difference ! Ok, I like new challenges - where do I sign up ? ------------------------------------------------ Great :-) Please write to jobs(a)python.org I have a question... -------------------- If you have questions, you can write me or the PSF board at psf(a)python.org. Many thanks, -- Marc-Andre Lemburg Director Python Software Foundation http://www.python.org/psf/

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ANN: SfePy 2014.1
by Robert Cimrman 25 Feb '14

25 Feb '14

I am pleased to announce release 2014.1 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method. The code is based on NumPy and SciPy packages. It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: http://groups.google.com/group/sfepy-devel Git (source) repository, issue tracker, wiki: http://github.com/sfepy Highlights of this release -------------------------- - sfepy.fem was split to separate FEM-specific and general modules - lower memory usage by creating active DOF connectivities directly from field connectivities - new handling of field and variable shapes - clean up: many obsolete modules were removed, all module names follow naming conventions For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Best regards, Robert Cimrman and Contributors (*) (*) Contributors to this release (alphabetical order): Vladimír Lukeš, Matyáš Novák, Jaroslav Vondřejc

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[RELEASED] Python 3.4.0 release candidate 2 is now available
by Larry Hastings 23 Feb '14

23 Feb '14

On behalf of the Python development team, I'm delighted to announce the second and final release candidate of Python 3.4. This is a preview release, and its use is not recommended for production settings. Python 3.4 includes a range of improvements of the 3.x series, including hundreds of small improvements and bug fixes. Major new features and changes in the 3.4 release series include: * PEP 428, a "pathlib" module providing object-oriented filesystem paths * PEP 435, a standardized "enum" module * PEP 436, a build enhancement that will help generate introspection information for builtins * PEP 442, improved semantics for object finalization * PEP 443, adding single-dispatch generic functions to the standard library * PEP 445, a new C API for implementing custom memory allocators * PEP 446, changing file descriptors to not be inherited by default in subprocesses * PEP 450, a new "statistics" module * PEP 451, standardizing module metadata for Python's module import system * PEP 453, a bundled installer for the *pip* package manager * PEP 454, a new "tracemalloc" module for tracing Python memory allocations * PEP 456, a new hash algorithm for Python strings and binary data * PEP 3154, a new and improved protocol for pickled objects * PEP 3156, a new "asyncio" module, a new framework for asynchronous I/O Python 3.4 is now in "feature freeze", meaning that no new features will be added. The final release is projected for mid-March 2014. The python.org web site has recently been updated to something completely new, and I'm having some difficulty updating it. For now I've made Python 3.4.0rc2 available on the legacy web site: http://legacy.python.org/download/releases/3.4.0/ Once I can update the new web site, Python 3.4.0rc2 will be available here: http://python.org/download/releases/ (I'm not sure what the final URL will be, but you'll see it listed on that page.) Please consider trying Python 3.4.0rc2 with your code and reporting any new issues you notice to: http://bugs.python.org/ Enjoy! -- Larry Hastings, Release Manager larry at hastings.org (on behalf of the entire python-dev team and 3.4's contributors)

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rCSSmin 1.0.4
by André Malo 23 Feb '14

23 Feb '14

Hello World, I'm pleased to announce version 1.0.4 of rCSSmin. About rCSSmin ============= rCSSmin is a CSS minifier written in python based on the semantics of the YUI compressor, which itself is based on the rule list by Isaac Schlueter. This module is a re-implementation aiming for speed instead of maximum compression, so it can be used at runtime (rather than during a preprocessing step). RCSSmin does syntactical compression only (removing spaces, comments and possibly semicolons). It does not provide semantic compression (like removing empty blocks, collapsing redundant properties etc). It does, however, support various CSS hacks (by keeping them working as intended): - IE7 hack (``>/**/``) - Mac-IE5 hack (``/*\*/.../**/``) - The boxmodelhack is supported naturally because it relies on valid CSS2 strings - Between ``:first-line`` and the following comma or curly brace a space is inserted. (apparently it's needed for IE6) - Same for ``:first-letter`` Comments starting with an exclamation mark (``!``) can be kept optionally. About Release 1.0.4 =================== This is a cosmetic release fixing documentation issues and adding benchmarks. Supported Python Versions ========================= * Python 2.4 - 2.7 * Python 3.1 - 3.4 * PyPy 1.9, 2.0 * Jython 2.5, 2.7 (Python only) License ======= rCSSmin is available under the terms and conditions of the "Apache License, Version 2.0." Links ===== * Homepage + Documentation: http://opensource.perlig.de/rcssmin/ * PyPI: https://pypi.python.org/pypi/rcssmin * Github: https://github.com/ndparker/rcssmin * License: http://www.apache.org/licenses/LICENSE-2.0 André "nd" Malo

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rJSmin 1.0.9
by André Malo 23 Feb '14

23 Feb '14

Hello World, I'm pleased to announce version 1.0.9 of rJSmin. About rJSmin ============ rJSmin is a javascript minifier written in python. The minifier is based on the semantics of jsmin.c by Douglas Crockford. The module is a re-implementation aiming for speed, so it can be used at runtime (rather than during a preprocessing step). Usually it produces the same results as the original jsmin.c. It differs in the following ways: - there is no error detection: unterminated string, regex and comment literals are treated as regular javascript code and minified as such. - Control characters inside string and regex literals are left untouched; they are not converted to spaces (nor to \n) - Newline characters are not allowed inside string and regex literals, except for line continuations in string literals (ECMA-5). - "return /regex/" is recognized correctly. - "+ +" and "- -" sequences are not collapsed to "++" or "--" - Newlines before ! operators are removed more sensibly - Comments starting with an exclamation mark ('!') can be kept optionally - rJSmin does not handle streams, but only complete strings. (However, the module provides a "streamy" interface). About Release 1.0.9 =================== This is a cosmetic release fixing documentation issues and updating benchmarks. Supported Python Versions ========================= * Python 2.4 - 2.7 * Python 3.1 - 3.4 * PyPy 1.9, 2.0 * Jython 2.5, 2.7 (Python only) License ======= rJSmin is available under the terms and conditions of the "Apache License, Version 2.0." Links ===== * Homepage + Documentation: http://opensource.perlig.de/rjsmin/ * PyPI: https://pypi.python.org/pypi/rjsmin * Github: https://github.com/ndparker/rjsmin * License: http://www.apache.org/licenses/LICENSE-2.0 André "nd" Malo

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[RELEASED] Python 3.3.5 release candidate 1
by Georg Brandl 23 Feb '14

23 Feb '14

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On behalf of the Python development team, I'm happy to announce the release of Python 3.3.5, release candidate 1. Python 3.3.5 includes a fix for a regression in zipimport in 3.3.4 (see http://bugs.python.org/issue20621) and a few other bugs. Python 3.3 includes a range of improvements of the 3.x series, as well as easier porting between 2.x and 3.x. In total, almost 500 API items are new or improved in Python 3.3. For a more extensive list of changes in the 3.3 series, see http://docs.python.org/3.3/whatsnew/3.3.html To download Python 3.3.5 visit: http://www.python.org/download/releases/3.3.5/ This is a preview release, please report any bugs to http://bugs.python.org/ The final release is scheduled one week from now. Enjoy! - -- Georg Brandl, Release Manager georg at python.org (on behalf of the entire python-dev team and 3.3's contributors) -----BEGIN PGP SIGNATURE----- Version: GnuPG v2.0.22 (GNU/Linux) iEYEARECAAYFAlMKIPEACgkQN9GcIYhpnLCjXACfQwbC/eD/lhKAZ+XCwTwYPVWj GMwAnjWkbdk7hqsKoh12EiagpGApEPSA =2BCx -----END PGP SIGNATURE-----

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[ANN] pyOpenSSL 0.14
by exarkun＠twistedmatrix.com 23 Feb '14

23 Feb '14

Greetings fellow Pythoneers, I'm happy to announce that pyOpenSSL 0.14 is now available. pyOpenSSL is a set of Python bindings for OpenSSL. It includes some low-level cryptography APIs but is primarily focused on providing an API for using the TLS protocol from Python. Check out the PyPI page (<https://pypi.python.org/pypi/pyOpenSSL>) for downloads. This release of pyOpenSSL adds: * Support for TLSv1.1 and TLSv1.2 * First-class support for PyPy * New flags, such as MODE_RELEASE_BUFFERS and OP_NO_COMPRESSION * Some APIs to access to the SSL session cache * A variety of bug fixes for error handling cases Additionally, there are three major changes to the project: First, the documentation has been converted from LaTeX (CPython's previous documentation system) to Sphinx (CPython's "new" documentation system ;). You can find the new documentation on the PyPI documentation site (<https://pythonhosted.org/pyOpenSSL/>) or <https://pyopenssl.readthedocs.org/>). Second, pyOpenSSL is no longer implemented in C as a collection of extension modules using the Python/C API. Instead, pyOpenSSL is now a pure-Python project with a dependency on a new project, cryptography (<https://github.com/pyca/cryptography>), which provides (among other things) a cffi-based interface to OpenSSL. This change means that pyOpenSSL development is now more accessible to Python programmers with little or no experience with C. This is also how pyOpenSSL is now able to support PyPy. Finally, the project's code hosting has moved from Launchpad to Github. Many branches remain only on Launchpad along with their associated bug reports. Over the coming releases I hope that the fixes and features in these branches will be ported to Python and incorporated into the pyOpenSSL master development branch. Bug tracking has been disabled on Launchpad so that the amount of useful information hosted there can gradually dwindle to nothing. Please use Github (<https://github.com/pyca/pyopenssl>) for further development and bug reporting. Thanks and enjoy, Jean-Paul

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Yet Another SWF Parser
by Facundo Batista 20 Feb '14

20 Feb '14

I'm very proud to present Yet Another SWF Parser: "yaswfp", you can pronounce whatever you like :) https://github.com/facundobatista/yaswfp You can use it as command line program or as a module, for example (slightly truncated for readability): >>> swf = swfparser.parsefile(<yourSWFfile>) >>> swf.header Header(name=Header, FileLength=4228, ...) >>> len(swf.tags) 365 >>> swf.tags[3] PlaceObject2(name=PlaceObject2, CharacterId=1, ...) Any doubt, question, suggestion, or whatever, feel free to open an issue in github, mail me, or find me in IRC (I'm facundobatista in Freenode). Regards, -- . Facundo Blog: http://www.taniquetil.com.ar/plog/ PyAr: http://www.python.org/ar/ Twitter: @facundobatista

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DEAP release 1.0.0: Distributed Evolutionary Algorithms in Python
by Félix-Antoine Fortin 20 Feb '14

20 Feb '14

After more than 4 years of development, we are proud to announce the release of DEAP 1.0.0. You can download a copy of this release at the following web page. https://pypi.python.org/pypi/deap DEAP (Distributed Evolutionary Algorithms in Python) is a novel evolutionary computation framework for rapid prototyping and testing of ideas. Its design departs from most other existing frameworks in that it seeks to make algorithms explicit and data structures transparent, as opposed to the more common black box type of frameworks. To get to know more about DEAP and the current release, we invite you to read the most recent article on DEAP published in SIGEvolution volume 6, issue 2, pp. 17-26. http://sigevolution.org/ An IPython notebook version of the article is also available. https://github.com/DEAP/notebooks This release includes: - Major overhaul of statistics computing and logging; - Ability to do Object Oriented Genetic Programming (OOGP); - Symbolic regression benchmarks for GP; - New tutorials and better documentation; - Several new examples from diverse fields; - and several other changes. Every changes of this release are detailed in the documentation. http://deap.gel.ulaval.ca/doc/default/releases.html To help users translate code from 0.9.x to 1.0.0, we have also written a new porting guide that details every change required to use DEAP 1.0. http://deap.gel.ulaval.ca/doc/default/porting.html Your feedback and comments are welcome at http://goo.gl/LZkdi4 or deap-users at googlegroups dot com. You can also follow us on Twitter @deapdev, and on our blog http://deapdev.wordpress.com/. Best, François-Michel De Rainville Félix-Antoine Fortin Marc-André Gardner Christian Gagné Marc Parizeau Laboratoire de vision et systèmes numériques Département de génie électrique et génie informatique Université Laval Quebec City (Quebec), Canada

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Python-announce-list February 2014