Mailman 3 November 2011 - Python-announce-list

PyPy 1.7 - widening the sweet spot
by Maciej Fijalkowski 21 Nov '11

21 Nov '11

================================== PyPy 1.7 - widening the sweet spot ================================== We're pleased to announce the 1.7 release of PyPy. As became a habit, this release brings a lot of bugfixes and performance improvements over the 1.6 release. However, unlike the previous releases, the focus has been on widening the "sweet spot" of PyPy. That is, classes of Python code that PyPy can greatly speed up should be vastly improved with this release. You can download the 1.7 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. It's fast (`pypy 1.7 and cpython 2.7.1`_ performance comparison) due to its integrated tracing JIT compiler. This release supports x86 machines running Linux 32/64, Mac OS X 32/64 or Windows 32. Windows 64 work is ongoing, but not yet natively supported. The main topic of this release is widening the range of code which PyPy can greatly speed up. On average on our benchmark suite, PyPy 1.7 is around **30%** faster than PyPy 1.6 and up to **20 times** faster on some benchmarks. .. _`pypy 1.7 and cpython 2.7.1`: http://speed.pypy.org Highlights ========== * Numerous performance improvements. There are too many examples which python constructs now should behave faster to list them. * Bugfixes and compatibility fixes with CPython. * Windows fixes. * PyPy now comes with stackless features enabled by default. However, any loop using stackless features will interrupt the JIT for now, so no real performance improvement for stackless-based programs. Contact pypy-dev for info how to help on removing this restriction. * NumPy effort in PyPy was renamed numpypy. In order to try using it, simply write:: import numpypy as numpy at the beginning of your program. There is a huge progress on numpy in PyPy since 1.6, the main feature being implementation of dtypes. * JSON encoder (but not decoder) has been replaced with a new one. This one is written in pure Python, but is known to outperform CPython's C extension up to **2 times** in some cases. It's about **20 times** faster than the one that we had in 1.6. * The memory footprint of some of our RPython modules has been drastically improved. This should impact any applications using for example cryptography, like tornado. * There was some progress in exposing even more CPython C API via cpyext. Things that didn't make it, expect in 1.8 soon ============================================== There is an ongoing work, which while didn't make it to the release, is probably worth mentioning here. This is what you should probably expect in 1.8 some time soon: * Specialized list implementation. There is a branch that implements lists of integers/floats/strings as compactly as array.array. This should drastically improve performance/memory impact of some applications * NumPy effort is progressing forward, with multi-dimensional arrays coming soon. * There are two brand new JIT assembler backends, notably for the PowerPC and ARM processors. Fundraising =========== It's maybe worth mentioning that we're running fundraising campaigns for NumPy effort in PyPy and for Python 3 in PyPy. In case you want to see any of those happen faster, we urge you to donate to `numpy proposal`_ or `py3k proposal`_. In case you want PyPy to progress, but you trust us with the general direction, you can always donate to the `general pot`_. .. _`numpy proposal`: http://pypy.org/numpydonate.html .. _`py3k proposal`: http://pypy.org/py3donate.html .. _`general pot`: http://pypy.org

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[ANNOUNCE] pypiserver 0.4.0 - minimal pypi server
by Ralf Schmitt 21 Nov '11

21 Nov '11

Hi, I've just uploaded pypiserver 0.4.0 to the python package index. pypiserver is a minimal PyPI compatible server. It can be used to serve a set of packages and eggs to easy_install or pip. pypiserver is easy to install (i.e. just easy_install pypiserver). It doesn't have any external dependencies. http://pypi.python.org/pypi/pypiserver/ should contain enough information to easily get you started running your own PyPI server in a few minutes. The code is available on github: https://github.com/schmir/pypiserver Changes in version 0.4.0 ------------------------- - add functionality to manage package updates - updated documentation - python 3 support has been added -- Cheers, Ralf

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PyGameZine issue0. For details see: http://pygame.org/
by René Dudfield 20 Nov '11

20 Nov '11

Hello, we just launched the first issue of PyGameZine. You can find out about it on the pygame website. http://www.pygame.org/ cheers!

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SQLObject 1.2.0
by Oleg Broytman 20 Nov '11

20 Nov '11

Hello! I'm pleased to announce version 1.2.0, the first stable release of branch 1.2 of SQLObject. What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: http://pypi.python.org/pypi/SQLObject/1.2.0 News and changes: http://sqlobject.org/News.html What's New ========== Features & Interface -------------------- * Strings are treated specially in Select to allow Select(['id, 'name'], where='value = 42'). Update allows a string in WHERE. * ForeignKey('Table', refColumn='refcol_id') to allow ForeignKey to point to a non-id column; the referred column must be a unique integer column. * delColumn now accepts a ForeignKey's name without 'ID'. * Support for PostgreSQL 7.* is dropped. The minimal supported version of PostgreSQL is 8.1 now. * Quoting rules changed for PostgreSQL: SQLObject uses E'' escape string if the string contains characters escaped with backslash. * A bug caused by psycopg2 recently added a new boolean not callable autocommit attribute was fixed. * sqlobject.__doc__ and main.__doc__ no longer contain version number. Use sqlobject.version or version_info. For a more complete list, please see the news: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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Muntjac 1.0.0 released
by Richard Lincoln 19 Nov '11

19 Nov '11

Dear Sir, Muntjac 1.0.0 has been released. http://www.muntiacus.org Muntjac is a web application GUI toolkit translated from Vaadin. It is similar to desktop application GUI toolkits, but it can be used to create dynamic, browser independent, web applications. There is no need to write HTML, Javascript or RPC code, just server-side Python. Muntjac is currently available under AGPL/commercial licensing terms until some of the development costs can be recouped. Your sincerely, Richard Lincoln r.w.lincoln(a)gmail.com

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pytest-2.2.0: test marking++, parametrization++ and duration profiling
by holger krekel 18 Nov '11

18 Nov '11

py.test 2.2.0: test marking++, parametrization++ and duration profiling =========================================================================== pytest-2.2.0 is a test-suite compatible release of the popular py.test testing tool. Plugins might need upgrades. It comes with these improvements: * easier and more powerful parametrization of tests: - new @pytest.mark.parametrize decorator to run tests with different arguments - new metafunc.parametrize() API for parametrizing arguments independently - see examples at http://pytest.org/latest/example/parametrize.html - NOTE that parametrize() related APIs are still a bit experimental and might change in future releases. * improved handling of test markers and refined marking mechanism: - "-m markexpr" option for selecting tests according to their mark - a new "markers" ini-variable for registering test markers for your project - the new "--strict" bails out with an error if using unregistered markers. - see examples at http://pytest.org/latest/example/markers.html * duration profiling: new "--duration=N" option showing the N slowest test execution or setup/teardown calls. This is most useful if you want to find out where your slowest test code is. * also 2.2.0 performs more eager calling of teardown/finalizers functions resulting in better and more accurate reporting when they fail Besides there is the usual set of bug fixes along with a cleanup of pytest's own test suite allowing it to run on a wider range of environments. For general information, see extensive docs with examples here: http://pytest.org/ If you want to install or upgrade pytest you might just type:: pip install -U pytest # or easy_install -U pytest Thanks to Ronny Pfannschmidt, David Burns, Jeff Donner, Daniel Nouri, Alfredo Doza and all who gave feedback or sent bug reports. best, holger krekel notes on incompatibility ------------------------------ While test suites should work unchanged you might need to upgrade plugins: * You need a new version of the pytest-xdist plugin (1.7) for distributing test runs. * Other plugins might need an upgrade if they implement the ``pytest_runtest_logreport`` hook which now is called unconditionally for the setup/teardown fixture phases of a test. You may choose to ignore setup/teardown failures by inserting "if rep.when != 'call': return" or something similar. Note that most code probably "just" works because the hook was already called for failing setup/teardown phases of a test so a plugin should have been ready to grok such reports already. Changes between 2.1.3 and 2.2.0 ---------------------------------------- - fix issue90: introduce eager tearing down of test items so that teardown function are called earlier. - add an all-powerful metafunc.parametrize function which allows to parametrize test function arguments in multiple steps and therefore from indepdenent plugins and palces. - add a @pytest.mark.parametrize helper which allows to easily call a test function with different argument values - Add examples to the "parametrize" example page, including a quick port of Test scenarios and the new parametrize function and decorator. - introduce registration for "pytest.mark.*" helpers via ini-files or through plugin hooks. Also introduce a "--strict" option which will treat unregistered markers as errors allowing to avoid typos and maintain a well described set of markers for your test suite. See exaples at http://pytest.org/latest/mark.html and its links. - issue50: introduce "-m marker" option to select tests based on markers (this is a stricter and more predictable version of '-k' in that "-m" only matches complete markers and has more obvious rules for and/or semantics. - new feature to help optimizing the speed of your tests: --durations=N option for displaying N slowest test calls and setup/teardown methods. - fix issue87: --pastebin now works with python3 - fix issue89: --pdb with unexpected exceptions in doctest work more sensibly - fix and cleanup pytest's own test suite to not leak FDs - fix issue83: link to generated funcarg list - fix issue74: pyarg module names are now checked against imp.find_module false positives - fix compatibility with twisted/trial-11.1.0 use cases

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PythonAnywhere - a web-based Python console, IDE and hosting environment
by Harry Percival 18 Nov '11

18 Nov '11

Hideley-ho Python People! So we've finally overcome "just-one-more-feature-itis" and decided it's time to announce ourselves to the world. So, without further ado, but with much pomp and fanfare, may we proudly present: <http://www.pythonanywhere.com> PythonAnywhere! A web-based python console, development environment, and hosting service, all rolled into one, and featuring a snake made out of Python chevrons. Oh yes. You can find out more from our screencasts, on the front page (be sure to check out the alternative versions too), but in brief: - it's a web-based console, with Pythons 2.6, 2.7, 3.2, IPython, pypy... and Bash! - it's got a syntax-highlighting web-based editor, and each user gets 500MB of storage - and we offer FREE web hosting for WSGI apps, with sqlite or MySQL backends. Hmmm. Browser-based Python... What the heck is the point of that, I hear the cynics amongst you ask. WELL: - you can suspend and resume console sessions from any browser or PC - you can access and run your Python code anywhere you go, without needing to install anything - a friend's house, an internet cafe in Thailand, your jailhouse library's computer, wherever it may be. - you can schedule automated tasks to run on our servers, any time of day or night, without needing to waste your own electrickery. - and you can host and deploy web apps, without having to worry about installing packages, configuring web servers, firewalls, or, indeed, *paying for it*. So come check it out! I absolutely, positively, cast-iron-guarantee that, not only will you not be disappointed, but you will be literally* blown away. If you're not, I hereby authorise you, without any reservation, to tweet angrily about it. <http://www.pythonanywhere.com/> See you soon! ~<:>>>=== Harry * not literally. -- Harry Percival Developer harry(a)resolversystems.com +44 (0) 20 3051 2751 PythonAnywhere - full python dev & hosting, in your browser <http://www.pythonanywhere.com/> 17a Clerkenwell Road, London EC1M 5RD, UK VAT No.: GB 893 5643 79 Registered in England and Wales as company number 5467329. Registered address: 843 Finchley Road, London NW11 8NA, UK

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[ANN] Data Plotting Library Dislin 10.2
by Helmut Michels 18 Nov '11

18 Nov '11

Dear Python programmers, I am pleased to announce version 10.2 of the data plotting software Dislin. Dislin is a high-level and easy to use plotting library for displaying data as curves, bar graphs, pie charts, 3D-colour plots, surfaces, contours and maps. Several output formats are supported such as X11, VGA, OpenGL, PostScript, PDF, CGM, WMF, HPGL, TIFF, GIF, PNG, BMP and SVG. The software is available for the most C, Fortran 77 and Fortran 90/95 compilers. Plotting extensions for the interpreting languages Perl, Python and Java are also supported. Dislin is available from the site http://www.dislin.de and via FTP from the server ftp://ftp.gwdg.de/pub/grafik/dislin All Dislin distributions are free for non-commercial use. Licenses for commercial use are available from http://www.dislin.de. ------------------- Helmut Michels Max Planck Institute for Solar System Research Phone: +49 5556 979-334 Max-Planck-Str. 2 Fax : +49 5556 979-240 D-37191 Katlenburg-Lindau Mail : michels(a)mps.mpg.de

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Twisted 11.1.0 Released
by Thomas Hervé 17 Nov '11

17 Nov '11

On behalf of Twisted Matrix Laboratories, I am pleased to announce the release of Twisted 11.1. Highlights of the 185 tickets closed include: * The poll reactor as default where applicable, instead of select everywhere. * A new SSL implementation only relying on OpenSSL for cryptography, (not I/O) making it more robust. * Several improvements to the fresh HTTP/1.1 client implementation, including proxy and cookie support. * My personal favorite: a new howto has been published on test-driven development with Twisted. * A special mention to the new abortConnection support on TCP and SSL connections, heroically pushed by Itamar and Jean-Paul, and the oldest ticket closed by this release. This is the last release supporting Python 2.4 (the support on Windows stopped with 11.0). For more information, see the NEWS file here: http://twistedmatrix.com/Releases/Twisted/11.1/NEWS.txt Download it now from: http://pypi.python.org/packages/source/T/Twisted/Twisted-11.1.0.tar.bz2 or http://pypi.python.org/packages/2.5/T/Twisted/Twisted-11.1.0.win32-py2.5.msi or http://pypi.python.org/packages/2.6/T/Twisted/Twisted-11.1.0.win32-py2.6.msi or http://pypi.python.org/packages/2.7/T/Twisted/Twisted-11.1.0.win32-py2.7.msi Thanks to the supporters of the Twisted Software Foundation and to the many contributors for this release. -- Thomas

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Camelot 11.11.16
by erikj 16 Nov '11

16 Nov '11

Hello, Camelot 11.11.16 has been uploaded to PyPi. Camelot is an open source RAD framework that leverages Python, Sqlalchemy and Qt to build rich desktop applications. Many built in features make applications built with Camelot user and developer friendly. This release mainly brings the implementation of new style actions using iterators to communicate between the model and the GUI. There is a tutorial that shows its features : http://downloads.conceptive.be/downloads/camelot/doc/sphinx/build/tutorial/… And reference documentation : http://downloads.conceptive.be/downloads/camelot/doc/sphinx/build/doc/actio… Have fun with it, Erik

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