Mailman 3 November 2012 - Python-announce-list

ANN: gcc-python-plugin 0.11
by David Malcolm 29 Nov '12

29 Nov '12

gcc-python-plugin is a plugin for GCC 4.6 onwards which embeds the CPython interpreter within GCC, allowing you to write new compiler warnings in Python, generate code visualizations, etc. It ships with "gcc-with-cpychecker", which implements static analysis passes for GCC aimed at finding bugs in CPython extensions. In particular, it can automatically detect reference-counting errors: http://gcc-python-plugin.readthedocs.org/en/latest/cpychecker.html What's new in 0.11? =================== The main change in this release is support for compiling the plugin with a C++ compiler. Recent versions of GCC 4.7 are now built with C++ rather than C, meaning that plugins must also be built with C++ (since all of GCC’s internal symbols are name-mangled). This release fixes the plugin’s Makefile so that it autodetects whether the plugin needs to be built with a C or C++ compiler and (I hope) does the right thing automatically. I've also made the necessary changes to the C source code of the plugin so that it is compilable as either language. This should enable the plugin to now be usable with recent builds of gcc 4.7.* (along with gcc 4.6). The plugin doesn't yet support gcc 4.8 prereleases (help would be appreciated!) For a description of the other improvements in 0.11, detailed release notes can be seen at: http://gcc-python-plugin.readthedocs.org/en/latest/0.11.html Tarball releases are available at: https://fedorahosted.org/releases/g/c/gcc-python-plugin/ Prebuilt-documentation can be seen at: http://gcc-python-plugin.readthedocs.org/en/latest/index.html The project's homepage is: https://fedorahosted.org/gcc-python-plugin/ The plugin and checker are Free Software, licensed under the GPLv3 or later. Enjoy! Dave Malcolm

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ANN: eGenix mx Base Distribution 3.2.5 (mxDateTime, mxTextTools, etc.)
by M.-A. Lemburg 28 Nov '12

28 Nov '12

________________________________________________________________________ ANNOUNCING eGenix.com mx Base Distribution Version 3.2.5 for Python 2.4 - 2.7 Open Source Python extensions providing important and useful services for Python programmers. This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mx-Base-Distribution-3.2.5-GA.html ________________________________________________________________________ ABOUT The eGenix.com mx Base Distribution for Python is a collection of professional quality software tools which enhance Python's usability in many important areas such as fast text searching, date/time processing and high speed data types. The tools have a proven record of being portable across many Unix and Windows platforms. You can write applications which use the tools on Windows and then run them on Unix platforms without change due to the consistent platform independent interfaces. Contents of the distribution: * mxDateTime - Easy to use Date/Time Library for Python * mxTextTools - Fast Text Parsing and Processing Tools for Python * mxProxy - Object Access Control for Python * mxBeeBase - On-disk B+Tree Based Database Kit for Python * mxURL - Flexible URL Data-Type for Python * mxUID - Fast Universal Identifiers for Python * mxStack - Fast and Memory-Efficient Stack Type for Python * mxQueue - Fast and Memory-Efficient Queue Type for Python * mxTools - Fast Everyday Helpers for Python The package also include a number of helpful smaller modules in the mx.Misc subpackage, such as mx.Misc.ConfigFile for config file parsing or mx.Misc.CommandLine to quickly write command line applications in Python. All available packages have proven their stability and usefulness in many mission critical applications and various commercial settings all around the world. For more information, please see the distribution page: http://www.egenix.com/products/python/mxBase/ ________________________________________________________________________ NEWS The 3.2.5 release of the eGenix mx Base Distribution is the latest release of our open-source Python extensions. The new patch-level version includes a few important fixes: * Fixed a compatibility problem with Python 2.7.3 on Mac OS X 10.6 and later: Removed mx_customize_compiler() in favor of the standard distutils customize_compiler(). It now installs fine again with pip on more recent Mac OS X versions. Thanks to Leonardo Santagada for bringing this problem to our attention. * mxDateTime: Fixed a possible segfault in mxDateTime that was caused by the lazy datetime module import mechanism not catching all cases where the C API was used in mxDateTime. Thanks to Joel Rosdahl for bringing this to our attention. * Fixed a bug in the mx.Misc.CSV.Reader.objects() method, which triggered a TypeError. If you are upgrading from eGenix mx Base 3.1.x, please also see the eGenix mx Base Distribution 3.2.0 release notes for details on what has changed and which new features are available: http://www.egenix.com/company/news/eGenix-mx-Base-Distribution-3.2.0-GA.html As always, we are providing pre-built binaries for all common platforms: Windows 32/64-bit, Linux 32/64-bit, FreeBSD 32/64-bit, Mac OS X 32/64-bit. Source code archives are available for installation on all other Python platforms, such as Solaris, AIX, HP-UX, etc. To simplify installation in Zope/Plone and other egg-based systems, we have also precompiled egg distributions for all platforms. These are available on our own PyPI-style index server for easy and automatic download. Whether you are using a pre-built package or the source distribution, installation is a simple "python setup.py install" command in all cases. The only difference is that the pre-built packages do not require a compiler or the Python development packages to be installed. For a full list of changes, please refer to the eGenix mx Base Distribution change log at http://www.egenix.com/products/python/mxBase/changelog.html and the change logs of the various included Python packages. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the packages can be found on the eGenix mx Base Distribution page: http://www.egenix.com/products/python/mxBase/ ________________________________________________________________________ LICENSE The eGenix mx Base package is distributed under the eGenix.com Public License 1.1.0 which is an Open Source license similar to the Python license. You can use the packages in both commercial and non-commercial settings without fee or charge. The package comes with full source code ________________________________________________________________________ SUPPORT Commercial support for this product is available from eGenix.com. Please see http://www.egenix.com/services/support/ for details about our support offerings. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Nov 28 2012) >>> Python Projects, Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope/Plone.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ ::: Try our new mxODBC.Connect Python Database Interface for free ! :::: 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/

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Launcherposta 0.8.1
by Facundo Batista 26 Nov '12

26 Nov '12

LauncherPosta is a launcher. A real launcher. One that lets you launch programs. This program puts an icon in the systray where you can have a fully configurable menu to launch the programs that you most use, only two clicks away, anytime. Page: http://launcherposta.taniquetil.com.ar/ Changes for this release: - Better user feedback on command errors and icon usage - Lot of small GUI improvements - Improved robustness when handling some ugly details - Other minor fixes and improvements Easiest way to install it, the .deb: http://launchpad.net/launcherposta/trunk/0.8.1/+download/launcherposta-0.8.… To be automatically updated, install the PPA: sudo add-apt-repository ppa:facundo/launcherposta sudo apt-get update sudo apt-get install launcherposta Also, you have the tarball: http://launchpad.net/launcherposta/trunk/0.8.1/+download/launcherposta-0.8.… Finally, for the same price, you can get it from PyPI: sudo easy_install launcherposta Enjoy it. -- . Facundo Blog: http://www.taniquetil.com.ar/plog/ PyAr: http://www.python.org/ar/ Twitter: @facundobatista

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pyPEG 2.8 published
by Volker Birk 26 Nov '12

26 Nov '12

This is a bugfix release fixing problems of installing with pip and of initializing objects. pyPEG 2 for Python 2.7 and 3.x Python is a nice scripting language. It even gives you access to its own parser and compiler. It also gives you access to different other parsers for special purposes like XML and string templates. But sometimes you may want to have your own parser. This is what's pyPEG for. And pyPEG supports Unicode. The source code for all you can find on bitbucket: https://bitbucket.org/fdik/pypeg/ To build the documentation, you'll need YML 2. You can download YML here: Homepage: http://fdik.org/yml/ Toolchain: http://fdik.org/yml2.tar.bz2 pyPEG 2 depends on lxml, see http://lxml.de/ Yours, VB. -- Wenn Steinbrück „Urwahl“ hört, ruft der „Rolex!“ (Friedrich Küppersbusch)

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WSME-Soap 0.4.1 released
by Christophe de Vienne 25 Nov '12

25 Nov '12

WSME-Soap 0.4.1 was released today. It is a bugfix release. Changes ------- * Fix date/time and binary input types handling Download -------- http://pypi.python.org/pypi/WSME-Soap/ Cheers, Christophe de Vienne

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ANN: unicode 0.9.7
by garabik-news-2005-05＠kassiopeia.juls.savba.sk 25 Nov '12

25 Nov '12

unicode is a simple python command line utility that displays properties for a given unicode character, or searches unicode database for a given name. It was written with Linux in mind, but should work almost everywhere (including MS Windows and MacOSX), UTF-8 console is recommended. ˙pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo əsn pəɔuɐʌpɐ puɐ səldı̣ɔuı̣ɹd əɥʇ ɓuı̣ʇɐɹʇsuoɯəp looʇ ɔı̣ʇɔɐpı̣p ʇuəlləɔxə uɐ sı̣ ʇI ˙sʇuı̣odəpoɔ ʇuəɹəɟɟı̣p ʎləʇəldɯoɔ ɓuı̣sn əlı̣ɥʍ 'sɥdʎlɓ ɟo ɯɐəɹʇs ɹɐlı̣ɯı̣s ʎllɐnsı̣ʌ oʇuı̣ ʇxəʇ əɥʇ ʇɹəʌuoɔ oʇ pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo ɹəʍod llnɟ əɥʇ sʇı̣oldxə ʇɐɥʇ 'ʎʇı̣lı̣ʇn ,əpoɔɐɹɐd, oslɐ suı̣ɐʇuoɔ əɓɐʞɔɐd əɥ⊥ Changes since previous versions: * add option to recognise binary input numerical codes * do not throw an exception when run under an undefined locale * on error, exit with nonzero existatus * preliminary python3 support * other minor tweaks and improvements URL: http://kassiopeia.juls.savba.sk/~garabik/software/unicode/ -- ----------------------------------------------------------- | Radovan Garabík http://kassiopeia.juls.savba.sk/~garabik/ | | __..--^^^--..__ garabik @ kassiopeia.juls.savba.sk | ----------------------------------------------------------- Antivirus alert: file .signature infected by signature virus. Hi! I'm a signature virus! Copy me into your signature file to help me spread!

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[ANN]: circuits 2.0.0 [cheetah] (Lightweight Event driven Asynchronous Application Framework)
by James Mills 23 Nov '12

23 Nov '12

Hi, I'm pleased to announce the release of circuits 2.0.0 [cheetah] This is a major release which includes breaking API changes from the previous release 1.6. Some of the highlights of this release include: * Enhanced internal Event Generation for I/O components. * Re-Implementation of call/wait synchronous primitives. * Simplified API for Eventing and Channel targeting. * Many more bug fixes and test coverage. For more information see the PyPi page: pypi.python.org/pypi/circuits/ cheers James James Mills / prologic E: prologic(a)shortcircuit.net.au W: prologic.shortcircuit.net.au

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cx_Freeze 4.3.1
by Anthony Tuininga 23 Nov '12

23 Nov '12

What is cx_Freeze? cx_Freeze is a set of scripts and modules for freezing Python scripts into executables, in much the same way that py2exe and py2app do. Unlike these two tools, cx_Freeze is cross platform and should work on any platform that Python itself works on. It supports Python 2.3 or higher, including Python 3. Where do I get it? http://cx-freeze.sourceforge.net What's new? The release notes can be read here as well: http://cx_freeze.readthedocs.org/en/latest/releasenotes.html 1) Added support for the final release of Python 3.3. 2) Added support for copying the MSVC runtime DLLs and manifest if desired by using the --include-msvcr switch. Thanks to Almar Klein for the initial p atch. 3) Clarified the documentation on the --replace-paths option. Thanks to Thomas Kluyver for the patch. Bugs fixed: 1) Producing a Mac distribution failed with a variable reference. 2) Freezing a script using PyQt on a Mac failed with a type error. 3) Version number reported was incorrect. (Issue #7) 4) Correct paths during installation on Windows. (Issue #11)

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ANN : occmodel v0.1.0
by Runar Tenfjord 23 Nov '12

23 Nov '12

I am pleased to announce the first official release of occmodel (v0.1.0) and the releated libraries geotools/gltools. Description ---------- occmodel is a small library which gives a high level access to the OpenCASCADE modelling kernel. For most users a direct use of the OpenCASCADE modelling kernel can be quite a hurdle as it is a huge library. The geometry can be visualized with the included viewer. This viewer is utilizing modern OpenGL methods like GLSL shaders and vertex buffers to ensure visual quality and maximum speed. To use the viewer OpenGL version 2.1 is needed. Home page : http://github.com/tenko/occmodel Documentation : http://tenko.github.com/occmodel/index.html In addition the following related libraries are released: geotools (required) : http://github.com/tenko/geotools Documentation : http://tenko.github.com/geotools/index.html gltools (optional) : http://github.com/tenko/gltools Documentation : http://tenko.github.com/gltools/index.html As this is the first official release some hurdles are expected Binary installers are available for the Windows platform. Best regards Runar Tenfjord

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PyPy 2.0 beta 1 released
by Maciej Fijalkowski 22 Nov '12

22 Nov '12

We're pleased to announce the 2.0 beta 1 release of PyPy. This release is not a typical beta, in a sense the stability is the same or better than 1.9 and can be used in production. It does however include a few performance regressions documented below that don't allow us to label is as 2.0 final. (It also contains many performance improvements.) The main features of this release are support for ARM processor and compatibility with CFFI. It also includes numerous improvements to the numpy in pypy effort, cpyext and performance. You can download the PyPy 2.0 beta 1 release here: http://pypy.org/download.html What is PyPy? ============= PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7.3. It's fast (`pypy 2.0 beta 1 and cpython 2.7.3`_ performance comparison) due to its integrated tracing JIT compiler. This release supports x86 machines running Linux 32/64, Mac OS X 64 or Windows 32. It also supports ARM machines running Linux. Windows 64 work is still stalling, we would welcome a volunteer to handle that. .. _`pypy 2.0 beta 1 and cpython 2.7.3`: http://bit.ly/USXqpP How to use PyPy? ================ We suggest using PyPy from a `virtualenv`_. Once you have a virtualenv installed, you can follow instructions from `pypy documentation`_ on how to proceed. This document also covers other `installation schemes`_. .. _`pypy documentation`: http://doc.pypy.org/en/latest/getting-started.html#installing-using-virtual… .. _`virtualenv`: http://www.virtualenv.org/en/latest/ .. _`installation schemes`: http://doc.pypy.org/en/latest/getting-started.html#installing-pypy .. _`PyPy and pip`: http://doc.pypy.org/en/latest/getting-started.html#installing-pypy Regressions =========== Reasons why this is not PyPy 2.0: * the ``ctypes`` fast path is now slower than it used to be. In PyPy 1.9 ``ctypes`` was either incredibly faster or slower than CPython depending whether you hit the fast path or not. Right now it's usually simply slower. We're probably going to rewrite ``ctypes`` using ``cffi``, which will make it universally faster. * ``cffi`` (an alternative to interfacing with C code) is very fast, but it is missing one optimization that will make it as fast as a native call from C. * ``numpypy`` lazy computation was disabled for the sake of simplicity. We should reenable this for the final 2.0 release. Highlights ========== * ``cffi`` is officially supported by PyPy. You can install it normally by using ``pip install cffi`` once you have installed `PyPy and pip`_. The corresponding ``0.4`` version of ``cffi`` has been released. * ARM is now an officially supported processor architecture. PyPy now work on soft-float ARM/Linux builds. Currently ARM processors supporting the ARMv7 and later ISA that include a floating-point unit are supported. * This release contains the latest Python standard library 2.7.3 and is fully compatible with Python 2.7.3. * It does not however contain hash randomization, since the solution present in CPython is not solving the problem anyway. The reason can be found on the `CPython issue tracker`_. * ``gc.get_referrers()`` is now faster. * Various numpy improvements. The list includes: * axis argument support in many places * full support for fancy indexing * ``complex128`` and ``complex64`` dtypes * `JIT hooks`_ are now a powerful tool to introspect the JITting process that PyPy performs. * ``**kwds`` usage is much faster in the typical scenario * operations on ``long`` objects are now as fast as in CPython (from roughly 2x slower) * We now have special strategies for ``dict``/``set``/``list`` which contain unicode strings, which means that now such collections will be both faster and more compact. .. _`cpython issue tracker`: http://bugs.python.org/issue14621 .. _`jit hooks`: http://doc.pypy.org/en/latest/jit-hooks.html Things we're working on ======================= There are a few things that did not make it to the 2.0 beta 1, which are being actively worked on. Greenlets support in the JIT is one that we would like to have before 2.0 final. Two important items that will not make it to 2.0, but are being actively worked on, are: * Faster JIT warmup time. * Software Transactional Memory. Cheers, Maciej Fijalkowski, Armin Rigo and the PyPy team

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