Mailman 3 March 2007 - Python-announce-list

Updated Cygwin Package: python-2.5-1
by Jason Tishler 13 Mar '07

13 Mar '07

New News: === ==== I have updated the version of Python to 2.5-1. The tarballs should be available on a Cygwin mirror near you shortly. The following is the only notable change since the previous release: o upgrade to Python 2.5 Old News: === ==== Python is an interpreted, interactive, object-oriented programming language. If interested, see the Python web site for more details: http://www.python.org/ Please read the README file: /usr/share/doc/Cygwin/python-2.5.README since it covers requirements, installation, known issues, etc. Standard News: ======== ==== To update your installation, click on the "Install Cygwin now" link on the http://cygwin.com/ web page. This downloads setup.exe to your system. Then, run setup and answer all of the questions. If you have questions or comments, please send them to the Cygwin mailing list at: cygwin(a)cygwin.com . *** CYGWIN-ANNOUNCE UNSUBSCRIBE INFO *** If you want to unsubscribe from the cygwin-announce mailing list, look at the "List-Unsubscribe: " tag in the email header of this message. Send email to the address specified there. It will be in the format: cygwin-announce-unsubscribe-you=yourdomain.com(a)cygwin.com If you need more information on unsubscribing, start reading here: http://sources.redhat.com/lists.html#unsubscribe-simple Please read *all* of the information on unsubscribing that is available starting at this URL. Jason -- PGP/GPG Key: http://www.tishler.net/jason/pubkey.asc or key servers Fingerprint: 7A73 1405 7F2B E669 C19D 8784 1AFD E4CC ECF4 8EF6

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Pydev 1.3.0 Released
by Fabio Zadrozny 12 Mar '07

12 Mar '07

Hi All, Pydev and Pydev Extensions 1.3.0 have been released Details on Pydev Extensions: http://www.fabioz.com/pydev Details on Pydev: http://pydev.sf.net Details on its development: http://pydev.blogspot.com Release Highlights in Pydev Extensions: ----------------------------------------------------------------- * Find References: Ctrl+Shift+G can be used to find the references to the selected token in the editor * Fix: Code-analysis: Fixed false positive for statement with no effect Release Highlights in Pydev: ---------------------------------------------- * Code-completion: Deep analysis for discovering arguments in constructs 'from imports' now can be configured given the number of chars of the qualifier * Refactoring for override methods: changed so that it uses the pydev code-completion engine for getting the hierarchy and methods * Fix: Python Nature Restore: begin rule does not match outer scope rule fixed * Fix: Package Explorer: if show-in is in a deep structure, it will show it is the 1st try and not only in the 2nd * Fix: Package Explorer: some intercepts removed elements incorrectly, and ended up messing the navigator and search (which has 'null' elements because of that) What is PyDev? --------------------------- PyDev is a plugin that enables users to use Eclipse for Python and Jython development -- making Eclipse a first class Python IDE -- It comes with many goodies such as code completion, syntax highlighting, syntax analysis, refactor, debug and many others. Cheers, -- Fabio Zadrozny ------------------------------------------------------ Software Developer ESSS - Engineering Simulation and Scientific Software http://www.esss.com.br Pydev Extensions http://www.fabioz.com/pydev Pydev - Python Development Enviroment for Eclipse http://pydev.sf.net http://pydev.blogspot.com

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ANN: pinocchio 0.1, extensions for nose unit test framework
by Titus Brown 11 Mar '07

11 Mar '07

ANNOUNCING pinocchio v0.1. pinocchio is a collection of plugins for the 'nose' unit testing framework; more about that here: http://somethingaboutorange.com/mrl/projects/nose/ Basic documentation for pinocchio is available at http://darcs.idyll.org/~t/projects/pinocchio/doc/ pinocchio currently contains five plugins: * decorator -- allows you to assign tags to tests from a list file; * figleafsections -- shows you which tests are executing what code; * stopwatch -- lets you pick tests to run based on the last execution time; * outputsave -- saves test stdout into individual files, tagged with success/failure. * spec -- generates "specification" output from test class/method names. This is the first package release of pinocchio. Note that pinocchio *requires* setuptools to be installed, because that is how nose plugins work! You can install pinocchio with easy_install, or download this release at http://darcs.idyll.org/~t/projects/pinocchio-0.1.tar.gz Documentation is included in the .tar.gz, and you can read the latest docs online at http://darcs.idyll.org/~t/projects/pinocchio/doc/ pinocchio is available under the MIT license. It is Copyright (C) 2006, 2007 C. Titus Brown, except for the spec plugin which is Copyright (C) 2007 Michal Kwiatkowski. --titus

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ANN: next pyCologne meeting 14.03.2007, 18:30 h
by Christopher Arndt 10 Mar '07

10 Mar '07

Hello fellow Pythonistas! the next monthly meeting of pyCologne, the Python User Group Köln (Cologne) is due soon: Date: Wednesday, 14th March 2007 Time: 18:30 h c.t. Venue: Pool 0.14, computing centre (RRZK-B), University Cologne, Berrenrather Str. 136, 50937 Köln, Germany I'm pleased to announce our fifth meeting since the group's inauguration and invite everybody interested in the Python programming language and it's applications to come and meet with us. We will have two presentations at this month's meeting. The meeting and the presentations are held (surprise, surprise!) in the German language. - "Python in der Luft- und Raumfahrt" ("Python in the aerospace industry") by Andreas Schreiber - "Python und Blender", Teil II "Die Blender Game-Engine" ("Python and Blender", part II "the Blender game engine"), by Rebecca Breu Further Information about our PUG is available on our page in the German Python wiki: http://wiki.python.de/User_Group_K%C3%B6ln CU there, Christopher Arndt

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ANN: AOPython 1.0.3
by Daniel Miller 10 Mar '07

10 Mar '07

AOPython 1.0.3 has been released. It's now available in the Cheese Shop! http://cheeseshop.python.org/pypi/AOPython/1.0.3 This release is a very small update. Here are the details: - Removed re/sre weave test from aopythonexamples (it didn't pass on Python 2.4 and it wasn't a good test). - Improved Aspect.wrap() function - Added setup.py ~~~~~~~~~~~~~~~ What is AOPython? AOPython is an AOP (Aspect Oriented Programming) module for Python. AOPython provides a base 'Aspect' that can 'advise' or wrap function and/or method calls. It also contains a weave function that can weave (apply advice to a subset of- or all functions and methods in) a module, class, or instance. Advice may modify or replace parameters and/or the return value of the advised function or method each time it is called. It can do many other things such as handle exceptions raised by an advised function, collect information on the method call (logging), or obtain and release resources before and after a method is invoked. Example 1: How to wrap a function from aopython import Aspect def negate(x): return -x aspect = Aspect() negate = aspect.wrap(negate) negate(2) # advised function call Example 2: How to weave a class from aopython import Aspect class MyObj(object): def double(self, x): return x * 2 def tripple(self, x): return x * 3 aspect = Aspect() aspect.weave(MyObj) myobj = MyObj() myobj.double(5) # advised method call MyObj.tripple(myobj, 5) # advised method call Download/leave comments/ask questions http://www.openpolitics.com/pieces/archives/002206.html Comments are appreciated. <p><a href="http://www.openpolitics.com/pieces/archives/002206.html">AOPython 1.0.2</a> - Aspect Oriented Python (16-Aug-05)</p>

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Leipzig Python User Group - Meeting, March 13, 2007, 08:00pm
by Stefan Schwarzer 09 Mar '07

09 Mar '07

=== Leipzig Python User Group === We will meet on March 13 at 08:00pm at the training center of Python Academy in Leipzig, Germany ( http://www.python-academy.com/center/find.html ). Our topic will be Python for scientific applications. Food and soft drinks are provided. Please send a short confirmation mail to info(a)python-academy.de, so we can prepare appropriately. Everybody who uses Python, plans to do so or is interested in learning more about the language is encouraged to participate. While the meeting language will be mainly German, we will provide English translation if needed. Current information about the meetings are at http://www.python-academy.com/user-group . Stefan Schwarzer === Leipzig Python User Group === Wir treffen uns am Dienstag, 13.03.2007 um 20:00 Uhr im Schulungszentrum der Python Academy in Leipzig ( http://www.python-academy.de/Schulungszentrum/anfahrt.html ). Unser Thema ist Python für wissenschaftliche Anwendungen. Für das leibliche Wohl wird gesorgt. Eine Anmeldung unter info(a)python-academy.de wäre nett, damit wir genug Essen besorgen können. Willkommen ist jeder, der Interesse an Python hat, die Sprache bereits nutzt oder nutzen möchte. Aktuelle Informationen zu den Treffen sind unter http://www.python-academy.de/User-Group zu finden. Viele Grüße Stefan Schwarzer

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ANN: Pytables 2.0 beta1 (hierarchical datasets) released
by Francesc Altet 09 Mar '07

09 Mar '07

========================= Announcing PyTables 2.0b1 ========================= The PyTables development team is very happy to announce the public availability of the first *beta* version of PyTables 2.0. Starting with this release, both the API and the file format have entered in the stage of freezing (i.e. nothing will be modified unless something is clearly *wrong*), so people can use it in order to begin with the migration of their existing PyTables 1.x scripts as well as start enjoying the new exciting features in this major version ;) You can download a source package of the version 2.0b1 with generated PDF and HTML docs from http://www.pytables.org/download/preliminary/ [Starting with the beta phase, and in order to make the life easier for Windows beta-testers, we are delivering binary versions for Win32.] You can also get the latest sources from the Subversion repository at http://pytables.org/svn/pytables/trunk/ If you are afraid of Subversion (you shouldn't), you can always download the latest, daily updated, packed sources from http://www.pytables.org/download/snapshot/ Please have in mind that some sections in the manual can be obsolete (specially the "Optimization tips" chapter). The tutorials chapter is in the process of being updated as well. The reference chapter should be fairly up-to-date though. You may also want to have an in-deep read of the ``RELEASE-NOTES.txt`` file where you will find an entire section devoted to how to migrate your existing PyTables 1.x apps to the 2.0 version. You can find an HTML version of this document at http://www.pytables.org/moin/ReleaseNotes/Release_2.0b1 Changes more in depth ===================== Improvements: - NumPy is finally at the core! That means that PyTables no longer needs numarray in order to operate, although it continues to be supported (as well as Numeric). This also means that you should be able to run PyTables in scenarios combining Python 2.5 and 64-bit platforms (these are a source of problems with numarray/Numeric because they don't support this combination yet). - Most of the operations in PyTables have experimented noticeable speed-ups (sometimes up to 2x, like in regular Python table selections). This is a consequence of both using NumPy internally and a considerable effort in terms of refactorization and optimization of the new code. - Combined conditions are finally supported for in-kernel selections. So, now it is possible to perform complex selections like:: result = [ row['var3'] for row in table.where('(var2 < 20) | (var1 == "sas")') ] or:: complex_cond = '((%s <= col5) & (col2 <= %s)) ' \ '| (sqrt(col1 + 3.1*col2 + col3*col4) > 3)' result = [ row['var3'] for row in table.where(complex_cond % (inf, sup)) ] and run them at full C-speed (or perhaps more, due to the cache-tuned computing kernel of numexpr, which has been integrated into PyTables). - Now, it is possible to get fields of the ``Row`` iterator by specifying their position, or even ranges of positions (extended slicing is supported). For example, you can do:: result = [ row[4] for row in table # fetch field #4 if row[1] < 20 ] result = [ row[:] for row in table # fetch all fields if row['var2'] < 20 ] result = [ row[1::2] for row in # fetch odd fields table.iterrows(2, 3000, 3) ] in addition to the classical:: result = [row['var3'] for row in table.where('var2 < 20')] - ``Row`` has received a new method called ``fetch_all_fields()`` in order to easily retrieve all the fields of a row in situations like:: [row.fetch_all_fields() for row in table.where('column1 < 0.3')] The difference between ``row[:]`` and ``row.fetch_all_fields()`` is that the former will return all the fields as a tuple, while the latter will return the fields in a NumPy void type and should be faster. Choose whatever fits better to your needs. - Now, all data that is read from disk is converted, if necessary, to the native byteorder of the hosting machine (before, this only happened with ``Table`` objects). This should help to accelerate apps that have to do computations with data generated in platforms with a byteorder different than the user machine. - The modification of values in ``*Array`` objects (through __setitem__) now doesn't make a copy of the value in the case that the shape of the value passed is the same as the slice to be overwritten. This results in considerable memory savings when you are modifying disk objects with big array values. - All the leaf constructors have received a new parameter called ``byteorder`` that lets the user specify the byteorder of their data *on disk*. This effectively allows to create datasets in other byteorders than the native platform. - Native HDF5 datasets with ``H5T_ARRAY`` datatypes are fully supported for reading now. - The test suites for the different packages are installed now, so you don't need a copy of the PyTables sources to run the tests. Besides, you can run the test suite from the Python console by using:: >>> tables.tests() Bug fixes: - As mentioned above, the fact that NumPy is at the core makes that certain bizarre interactions between numarray and NumPy scalars don't affect the behaviour of table selections anymore. Fixes http://www.pytables.org/trac/ticket/29. - Did I mention that PyTables 2.0 can be safely used in 64-bit platforms in combination with Python 2.5? ;) Deprecated features: - Not many, really. Please see ``RELEASE-NOTES.txt`` file. Backward-incompatible changes: - Many. Please see ``RELEASE-NOTES.txt`` file. Important note for Windows users ================================ In order to keep PyTables happy, you will need to get the HDF5 library compiled for MSVC 7.1, aka .NET 2003. It can be found at ftp://ftp.hdfgroup.org/HDF5/current/bin/windows/5-165-win-net.ZIP Please remember that, from PyTables 2.0 on, Python 2.3 (and lesser) is not supported anymore. What is PyTables? ================= **PyTables** is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data (with support for full 64-bit file addressing). It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code, makes it a very easy-to-use tool for high performance data storage and retrieval. PyTables runs on top of the HDF5 library and NumPy package (but numarray and Numeric are also supported) for achieving maximum throughput and convenient use. Besides, PyTables I/O for table objects is buffered, implemented in C and carefully tuned so that you can reach much better performance with PyTables than with your own home-grown wrappings to the HDF5 library. PyTables Pro sports indexing capabilities as well, allowing selections in tables exceeding one billion of rows in just seconds. Platforms ========= This version has been extensively checked on quite a few platforms, like Linux on Intel32 (Pentium), Win on Intel32 (Pentium), Linux on Intel64 (Itanium2), FreeBSD on AMD64 (Opteron), Linux on PowerPC (and PowerPC64) and MacOSX on PowerPC. For other platforms, chances are that the code can be easily compiled and run without further issues. Please contact us in case you are experiencing problems. Resources ========= Go to the PyTables web site for more details: http://www.pytables.org About the HDF5 library: http://hdf.ncsa.uiuc.edu/HDF5/ About NumPy: http://numpy.scipy.org/ To know more about the company behind the development of PyTables, see: http://www.carabos.com/ Acknowledgments =============== Thanks to various 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. Many thanks also to SourceForge who have helped to make and distribute this package! Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- **Enjoy data!** -- The PyTables Team -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-"

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Python Ireland 14th March 2007 Meeting
by Michael Twomey 09 Mar '07

09 Mar '07

Hi, The Python Ireland group will be having our next meeting soon: Wednesday, 14th March at 7pm Location: OpenApp 55 Fitzwilliam Square Dublin 2 More Info: http://openapp.biz/sections/contact/ We'll be giving the following talks: * Pycon 2007 roundup followed by a bonus lightning talk - John Gill * An introduction to ZODB - Michael Kerrin These will be followed by some friendly chat in the nearest pub. Due to space limits please mention your interest on the python ireland mailing list so we can get an idea of how many people are coming. See http://groups.google.com/group/pythonireland For more info and directions see http://wiki.python.ie/moin.cgi/PythonMeetup/March2007 cheers, Michael Python Ireland - http://python.ie/

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Hamburg Pythoneers Monthly Meeting: Wed, Apr 11
by Helge Stahlmann 09 Mar '07

09 Mar '07

+++++ Hamburg Python User Group April Meeting +++++ I am pleased to announce our next user group meeting: Wednesday, April 11, 2007 at 7:00pm Location: DDD Design GmbH, Jarrestrasse 46, 22303 Hamburg. Session highlight: Aspect-oriented programming with AOPython RSVP now at http://python.meetup.com/179/calendar/5549826/ If you're interested in learning more, please visit our website at meetup.com: http://python.meetup.com/179/ Additional links: RSS Newsfeed: feed://www.meetup.com/rss/g/python/179/new/ Group Calendar RSS: feed://python.meetup.com/179/calendar/rss/The+Hamburg+Python+User+Group/ iCal: webcal://python.meetup.com/179/calendar/ical/The+Hamburg+Python+User +Group/ +++++ Hamburg Python User Group - Treffen im April +++++ Ich freue mich, an dieser Stelle unser nächstes Meeting ankündigen zu dürfen: Mittwoch, 11. April 2007 um 19 Uhr Veranstaltungsort: DDD Design GmbH, Jarrestrasse 46, 22303 Hamburg. Highlight: Aspektorientierte Programmierung mit AOPython Anmeldungen werden unter http://python.meetup.com/179/calendar/5549826/ entgegengenommen. Weitere Informationen finden sich auf unserer Webseite bei meetup.com: http://python.meetup.com/179/ Weitere Links: RSS Newsfeed: feed://www.meetup.com/rss/g/python/179/new/ Gruppen Kalender RSS: feed://python.meetup.com/179/calendar/rss/The+Hamburg+Python+User+Group/ iCal: webcal://python.meetup.com/179/calendar/ical/The+Hamburg+Python+User +Group/

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PyWeek #4 in April!
by Richard Jones 08 Mar '07

08 Mar '07

PyWeek #4 will run in the first week of April: Start: 00:00UTC Sunday 1st April Finish: 00:00UTC Sunday 8th April REGISTRATION IS OPEN Visit the PyWeek website for more information: http://pyweek.org/ THE PYWEEK CHALLENGE: - Invites all Python programmers to write a game in one week from scratch either as an individual or in a team, - Is intended to be challenging and fun, - Will hopefully increase the public body of python game tools, code and expertise, - Will let a lot of people actually finish a game, and - May inspire new projects (with ready made teams!) Entries must be developed during the challenge, and must incorporate some theme decided at the start of the challenge. The rules for the challenge are at: http://media.pyweek.org/static/rules.html Richard -- Visit the PyWeek website: http://pyweek.org/

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