Mailman 3 July 2010 - Python-announce-list

markmin 0.1
by Massimo Di Pierro July 5, 2010

July 5, 2010

Markmin is a wiki markup language implemented in less than 100 lines of code (one file, no dependencies) easy to read secure support table, ul, ol, code support html5 video and audio elements can align images and resize them CSS friendly (can specify class for tables and code elements) can add anchors anywhere does not use _ for markup (since it creates odd behavior) automatically links urls fast with tests Examples # section ## subsection ### subsubsection #### etc etc etc **bold** ''italic'' (two single quotes, not double quote) ``varbatim`` a link [[this is a title http://example.com]] an image [[this is a title http://example.com right 200px]] a video [[this is a title http://example.come video]] a audio [[this is a title http://example.come audio]] an anchor [[myanchor]] link to anchor [[this is a title #myancohr]] bold link [[**this is a title** http://example.com]] automatic links http://example.com `` def inex(): return "multiline code" ``:language - unordered - list + oredered + list table example ------------- 0 | 0 | 1 0 | X | 0 X | 0 | 0 -------------

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Python Ireland's pre-PyCon drinks - Wed, 14th July @ Trinity Capital Hotel
by Vicky Twomey-Lee July 5, 2010

July 5, 2010

Hi All, Join us for drinks and a chat (a warm-up session to PyCon Ireland ;-) ). When: Wed 14th July, from 7pm Where: Trinity Capital Hotel More details at: http://www.python.ie/meetup/2010/python_ireland_meetup_-_july_2010/ Cheers, /// Vicky ~~~~~~~~~~~~~~~~~~~~~~~~~ ~~ http://irishbornchinese.com ~~ ~~ http://www.python.ie ~~ ~~~~~~~~~~~~~~~~~~~~~~~~~

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pafo 0.1 released
by Daneel Yaitskov July 5, 2010

July 5, 2010

Hi All, pafo is a help debug library. it allows programmer to observer data fields' state of a complex object or a bundle of objects. Even if some objects in the bundle haven't __str__ or __repr__ methods. Such situation is very usual. Nobody want to writer code only that to print the state of an object two-three times. It provides one function - printObject. You can use it as follows: >>> from pafo import * >>> printObject( [ 1,2,3] ) [ 1 :: int, 2 :: int, 3 :: int ] >>> class A: ... field = 3 ... >>> printObject( [ 1,2,3, A()] ) [ 1 :: int, 2 :: int, 3 :: int, class A: field = 3 :: int ] >>> class B: ... field2 = A() ... listField = [ 1,2,2,4,A()] ... >>> printObject( [ 1,2,B(),3, A()] ) [ 1 :: int, 2 :: int, class B: field2 = class A: field = 3 :: int listField = [ 1 :: int, 2 :: int, 2 :: int, 4 :: int, class A: field = 3 :: int ] , 3 :: int, class A: field = 3 :: int ] >>> Module can be downloaded from: http://daneel0yaitskov.000space.com/pafo-0.1.tar.gz

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[RELEASE] Python 2.7 released
by Benjamin Peterson July 4, 2010

July 4, 2010

On behalf of the Python development team, I'm jocund to announce the second release candidate of Python 2.7. Python 2.7 will be the last major version in the 2.x series. However, it will also have an extended period of bugfix maintenance. 2.7 includes many features that were first released in Python 3.1. The faster io module, the new nested with statement syntax, improved float repr, set literals, dictionary views, and the memoryview object have been backported from 3.1. Other features include an ordered dictionary implementation, unittests improvements, a new sysconfig module, auto-numbering of fields in the str/unicode format method, and support for ttk Tile in Tkinter. For a more extensive list of changes in 2.7, see http://doc.python.org/dev/whatsnew/2.7.html or Misc/NEWS in the Python distribution. To download Python 2.7 visit: http://www.python.org/download/releases/2.7/ 2.7 documentation can be found at: http://docs.python.org/2.7/ This is a production release and should be suitable for all libraries and applications. Please report any bugs you find, so they can be fixed in the next maintenance releases. The bug tracker is at: http://bugs.python.org/ Enjoy! -- Benjamin Peterson Release Manager benjamin at python.org (on behalf of the entire python-dev team and 2.7's contributors)

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Twisted 10.1.0 released
by Jonathan Lange July 4, 2010

July 4, 2010

On behalf of Twisted Matrix Laboratories, I am honored to announce the release of Twisted 10.1.0. Highlights include: * Deferreds now support cancellation * A new "endpoint" interface which can abstractly describe stream transport endpoints such as TCP and SSL * inotify support for Linux, which allows monitoring of file system events. * AMP supports transferring timestamps Note also that this is the *last* supported release of Twisted for Python 2.4 on Windows. For more information, see the NEWS file. It's stable, backwards compatible, well tested and in every way an improvement. Download it now from: http://tmrc.mit.edu/mirror/twisted/Twisted/10.1/Twisted-10.1.0.tar.bz2 http://tmrc.mit.edu/mirror/twisted/Twisted/10.1/Twisted-10.1.0.winxp32-py2.… http://tmrc.mit.edu/mirror/twisted/Twisted/10.1/Twisted-10.1.0.winxp32-py2.… Many thanks to Glyph Lefkowitz, who helped do the release preparation, and the PyCon 2010 sprinters, who did so much of the work for this release. jml

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Pyvm - Continuous python integration
by Antonio Cavallo July 4, 2010

July 4, 2010

========= Pyvm beta ========= This project provides binary builds for the python 2.x subversion snapshots each installable under the /opt/opt-python-svnXXXXX tree. The benefits are: 1) multiple revisions installable at the same time 2) no need to alter the system wide python intepreter to test against different python revisions. 3) Automated support for testing (unittest based) The binaries provided are for (both x86 and x86_64): = CentOS_5 = Fedora 10, 11 and 12 = Mandriva 2008, 2009, 2009.1, 2010 = OpenSuSE 11.0, 11.1, 11.2 and Factory (the next 11.3) = RHEL 4 and 5 = SLES 9, 10 and 11 Highlights of this release ========================== - New website redesign and public relaunch. - Web based .spec file creator for python modules Planned for next release ======================== - release and publish pyquality runtime python testing - publish the underlying tools to manage the full build cycle (now hosted in sf.net) Help needed =========== - Debian packaging Have fun, Antonio Cavallo

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[ANN] eric 5.0.0 released
by Detlev Offenbach July 4, 2010

July 4, 2010

Hi, I just uploaded eric 5.0.0. This is the first official release. It is available via the eric web site. http://eric-ide.python-projects.org/index.html What is it? ----------- eric5 is the Python3 variant of the well know eric4 Python IDE and is the first development environment, that runs natively with Python3. It comes with all batteries included. The features are too much to be listed in this announcement. Please see the eric web site for details. Regards, Detlev -- Detlev Offenbach detlev(a)die-offenbachs.de

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[Ann] Celery 2.0 released
by Ask Solem July 2, 2010

July 2, 2010

============================ Celery 2.0 has been released ============================ We're happy to announce the release of Celery 2.0. Big thanks to all contributors, testers and users! What is it? =========== Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is already used in production to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but support for Redis and databases is also available. You may also be pleased to know that full Django integration exists, delivered by the django-celery package. What's new? =========== * Django dependency removed. Django integration has been moved to a separate package called django-celery. SQLAlchemy is now used instead of the Django ORM for the database result store. * A curses real-time monitor: celeryev. * Support for soft and hard time limits. --time-limit: The worker processing the task will be killed and replaced with a new process when this is exceeded. --soft-time-limit: The celery.exceptions.SoftTimeLimitExceeded exception will be raised when this is exceeded. The task can catch this to clean up before the hard time limit terminates it. * Periodic tasks schedules can now be expressed using complex crontab-like expressions. For example, you can now use:: >>> crontab(minute="*/15") or even:: >>> crontab(minute="*/30", hour="8-17,1-2", ... day_of_week="thu-fri") * Built-in way to do task callbacks. http://celeryq.org/docs/userguide/tasksets.html * Simplified routing of tasks. http://celeryq.org/docs/userguide/routing.html * TaskSets can now contain several types of tasks. Tasksets has been refactored to use a new syntax, please see http://celeryq.org/docs/userguide/tasksets.html for more information. The previous syntax is still supported but deprecated, and will be completely removed in Celery 2.2. * AMQP result backend can now do polling of results. This means it supports ``result.ready()``, ``.successful()``, etc. * AMQP result backend now supports timeouts when waiting for results. * celeryd: --maxtasksperchild Defines the maximum number of tasks a pool worker can process before the process is terminated and replaced by a new one. * It's now possible to use the client side of Celery without configuration. And lots more! The Changelog contains upgrade instructions and a detailed list of all changes: http://celeryproject.org/docs/changelog.html Thank you for reading it. Resources ========= :Homepage: http://celeryproject.org :Download: http://pypi.python.org/pypi/celery :Documentation: http://celeryproject.org/docs/ :Changelog: http://celeryproject.org/docs/changelog.html :Code: http://github.com/ask/celery/ :FAQ: http://ask.github.com/celery/faq.html :Mailing list: http://groups.google.com/group/celery-users :IRC: #celery at irc.freenode.net. -- {Ask Solem, twitter.com/asksol | github.com/ask }.

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Bento 0.0.3 (ex-toydist), a pythonic packaging solution
by David July 2, 2010

July 2, 2010

Hi, I am pleased to announce the release 0.0.3 for Bento, the pythonic packaging solution. Bento aims at being an alternative to distutils/setuptools/distribute, based on a static metadata file format. Existing packages can be converted from setup.py to bento format automatically. http://cournape.github.com/Bento/ Wherease the 0.0.2 release was mostly about getting the simplest-still-useful subset of distutils features, this new release adds quite a few significant features: - Add hooks to customize arbitrary stages in bento (there is a hackish example which shows how to use waf to build a simple C extension). The API for this is still in flux, though - Parallel and reliable build of C extensions through yaku build library. - One file distribution: no need for your users to install any new packages, just include one single file into your package to build with bento - Improved documentation - 2.4 -> 2.7 support, tested on linux/windows/mac os x You can download bento on github: http://github.com/cournape/Bento, discussion on bento design/features happens on numpy mailing list cheers, David

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PyTables 2.2 released: entering the multi-core age
by Francesc Alted July 1, 2010

July 1, 2010

================================= Announcing PyTables 2.2 (final) ================================= I'm happy to announce PyTables 2.2 (final). After 18 months of continuous development and testing, this is, by far, the most powerful and well-tested release ever. I hope you like it too. What's new ========== The main new features in 2.2 series are: * A new compressor called Blosc, designed to read/write data to/from memory at speeds that can be faster than a system `memcpy()` call. With it, many internal PyTables operations that are currently bounded by CPU or I/O bandwith are speed-up. Some benchmarks: http://blosc.pytables.org/trac/wiki/SyntheticBenchmarks And a demonstration on how Blosc can improve PyTables performance: http://www.pytables.org/docs/manual/ch05.html#chunksizeFineTune * Support for HDF5 hard links, soft links and external links (kind of mounting external filesystems). A new tutorial about its usage has been added to the 'Tutorials' chapter of User's Manual. See: http://www.pytables.org/docs/manual/ch03.html#LinksTutorial * A new `tables.Expr` module (based on Numexpr) that allows to do persistent, on-disk computations on many algebraic operations. For a brief look on its performance, see: http://pytables.org/moin/ComputingKernel * Suport for 'fancy' indexing (i.e., à la NumPy) in all the data containers in PyTables. Backported from the implementation in the h5py project. Thanks to Andrew Collette for his fine work on this! * Binaries for both Windows 32-bit and 64-bit are provided now. As always, a large amount of bugs have been addressed and squashed too. In case you want to know more in detail what has changed in this version, have a look at: http://www.pytables.org/moin/ReleaseNotes/Release_2.2 You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://www.pytables.org/download/stable For an on-line version of the manual, visit: http://www.pytables.org/docs/manual-2.2 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. Resources ========= About PyTables: http://www.pytables.org 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 (and numarray!) 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 Team -- Francesc Alted

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