Mailman 3 August 2006 - Python-announce-list

ANN: Python and XML talk in Omaha
by Mike Hostetler 29 Aug '06

29 Aug '06

On Sept 5, I will be giving a presentation on "Python and XML" for the Omaha Dynamic Users Group. The goal of the Dynamic Users Group is to learn from and about dynamic languages, (Perl, Ruby, Smalltalk as well as Python). Most of the audience will not be Python users. However, my talk will not be an introductory talk about Python. Instead it will be a whet-your-appetite talk with loads of examples. I will focus on XML processing with minidom and cElementtree. I would appreciate any other Pythonistas in the area to join the fun. The talk will take place on the campus of Creighton University and will go from 7pm-9pm. Here's a link with more info: http://blog.blainebuxton.com/2006/08/python-and-xml-in-omaha.html -- Mike Hostetler mike(a)hostetlerhome.com http://mike.hostetlerhome.com

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ANN: wxPyCoverage 0.01 - Interactive source display of trace.py output
by djaquay＠yahoo.com 29 Aug '06

29 Aug '06

wxPyCoverage is a simple source browser that shows which lines of code have and have not been executed, by accepting the output from trace.py and updating the code display as the program executes. To run it, redirect the output from your program to the input of wxPyCoverage, thusly: trace.py --trace yourCode.py | ./wxPyCoverage.py wxPyCoverage will accept input from stdin indefinitely, expecting that it's in the format output by trace.py, i.e.: file.py(line): text file.py(line): text file.py(line): text --- modulename: etc... file.py(line): text file.py(line): text file.py(line): text etc. This was written using Python 2.4, but should work with whatever versions print trace output in that format. It was also written using wxPython 2.6.x, and uses that to allow interactive browsing of the source code. It was tested on SuSE Linux 10.1. If you're using this on Windows, and have issues, please let me know; (I don't have a Windows box handy to do my own testing). Enjoy, Dave (djaquay(a)users.sourceforge.net)

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ANN: AsciiDoc 8.0.0 released
by Stuart Rackham 28 Aug '06

28 Aug '06

This release has a lot of new stuff including an experimental LaTeX backend. See the CHANGELOG at http://www.methods.co.nz/asciidoc/CHANGELOG.html for a full list of additions and changes. What is it? ----------- AsciiDoc is an uncomplicated text document format for writing articles, short documents, books and UNIX man pages. AsciiDoc files can be translated to HTML, XHTML and DocBook (articles, books and refentry documents) using the asciidoc(1) command. DocBook can be post-processed to presentation formats such as HTML, PDF, roff, and Postscript using readily available Open Source tools. AsciiDoc is configurable: both the AsciiDoc source file syntax and the backend output markups (which can be almost any type of SGML/XML markup) can be customized and extended by user. Requisites ---------- Python 2.3 or higher. Obtaining AsciiDoc ------------------ The latest AsciiDoc version, examples and online documentation can be downloaded from http://www.methods.co.nz/asciidoc/ AsciiDoc is also hosted at the SourceForge at http://sourceforge.net/projects/asciidoc/ Regards, Stuart -- Stuart Rackham

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ANN: 4Suite XML 1.0rc3
by Uche Ogbuji 28 Aug '06

28 Aug '06

Today we release 4Suite XML 1.0 release candidate 3, now available from Sourceforge and ftp.4suite.org. Please help us test 4Suite to ensure a high-quality 1.0 final release. 4Suite is split into three separate packages: 4Suite XML - XML, XPath, XSLT, related technologies and support libraries 4Suite RDF - RDF processing libraries and stand-alone DBMS 4Suite Repository - XML and RDF repository This is a release of only the first component. Highlights of changes in 4Suite XML since the last release -- * Python 2.5 support (tested on Python 2.5b3) * Improved packages, including support for generation of eggs * Integrated PEP 302 import hooks (zipimports) to better support third-party applications (setuptools, py2exe, cx_Freeze) * Add output and params arguments to Ft.Xml.Xslt.Transform * Implement all of EXSLT Dynamic module (dyn:map, dyn:max, dyn:min, dyn:sum and dyn:closure were missing) * Subclassed gettext support so that all Python versions support plural forms and loading of message catalogs as embedded data files. * Domlette node classes can now be subclassed * Add support for EntityResolver interface to Saxlette (primarily to satisfy Python's XMLFilterBase for SAX filters) * Add Ft.Xml.CreateInputSource convenience function * Add Ft.Xml.Sax.SaxPrinter, a SAX handler that uses a 4Suite printer to re-serialize from SAX events * Add C14N and exclusive C14N writers * Added support for xml:id * Add native getElementById() method to Domlette documents to allow for XPath's id() and XPointer's short-hand expressions. * Bug fixes, improvements to performance and documentation 4Suite XML is a comprehensive library for XML processing. It is implemented in Python and C and supports XML (SAX-like and DOM-like), XPath, XSLT, RELAX NG, XUpdate, XInclude, XPointer, and more. The manual is included in the documents, or you can browse it online at http://uche.ogbuji.net/tech/4suite/etc/CoreManual.html For general information, see: http://4suite.org http://uche.ogbuji.net/tech/4Suite/ For the files, see: ftp://ftp.4suite.org/pub/4Suite/ Mirrored on www.fourthought.com: http://www.fourthought.com/files/4Suite/4Suite_XML-1.0rc3-py2.3-win32.egg http://www.fourthought.com/files/4Suite/4Suite_XML-1.0rc3-py2.4-win32.egg http://www.fourthought.com/files/4Suite/4Suite_XML-1.0rc3-py2.5-win32.egg http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.tar.bz2 http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.tar.gz http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.zip http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.win32-py2.2.exe http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.win32-py2.3.exe http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.win32-py2.4.exe http://www.fourthought.com/files/4Suite/4Suite-XML-1.0rc3.win32-py2.5.exe http://www.fourthought.com/files/4Suite/4Suite-XML-docs-1.0rc3.tar.bz2 http://www.fourthought.com/files/4Suite/4Suite-XML-docs-1.0rc3.tar.gz http://www.fourthought.com/files/4Suite/4Suite-XML-docs-1.0rc3.zip You can also get the files on Python CheeseShop: http://cheeseshop.python.org/pypi/4Suite-XML/ We usually upload to Sourceforge, and will do so as soon as we can, but server errors have made it impossible for us to complete the file release so far. https://sourceforge.net/projects/foursuite/ https://sourceforge.net/project/showfiles.php?group_id=39954 Documentation: In the locations specified above, with filenames of the form 4Suite-XML-docs-1.0rc3.* Release notes -- The current installation directory layout document tells where package files are installed: http://4suite.org/docs/installation-locations.xhtml

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IAF - Interaction Framework Release 0.02
by Gil Mueller 28 Aug '06

28 Aug '06

The framework now includes remote communication. IAF is a framework for specifying interactions between components or subsystems for reactive and distributed systems. It provides high-level message passing services based on group communication. It is also very useful for integrating component-based systems. The release is available on http://www.gil-mueller.com/freecorner.html.

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[ANN] StandOut 3.0.0 Released
by Fuzzyman 27 Aug '06

27 Aug '06

There is a new release of `StandOut <http://www.voidspace.org.uk/python/modules.shtml#standout>`_, the flexible output object. {sm;:-)} This version is a complete rewrite, with a *full* set of `unit tests <http://svn.pythonutils.python-hosting.com/trunk/pythonutils/standout_test.py>`_. *standout* is a module that provides a single class: ``StandOut`` - the flexible output object. It provides a simple way of adding logging to a program, and an easy way of adding verbosity levels. By assigning a priority level to each message, it makes it trivially easy to allow your users to choose their own verbosity level. Verbosity levels for normal output and the log file can be different. Alternatively you can just use StandOut for logging ``stdout`` and ``stderr`` to a file. As an added bonus it includes a software unbuffered mode. In this mode all writes to ``stdout`` and ``stderr`` are flushed immediately. Quick download links : * `standout.py (8.5kB) <http://www.voidspace.org.uk/cgi-bin/voidspace/downman.py?file=standout.py>`_ * `standout.zip (108kB) <http://www.voidspace.org.uk/cgi-bin/voidspace/downman.py?file=standout.zip>`_ The zip file includes full documentation and unit tests. Basic usage, for logging all output on the standard output and standard error streams to a file : .. raw:: html {+coloring} from standout import StandOut stout = StandOut('log.txt') # body of program main() # then close the log file # and restore normal output/error streams stout.close() {-coloring} StandOut is currently used in both `Movable Python <http://www.voidspace.org.uk/python/movpy/>`_ and `rest2web <http://www.voidspace.org.uk/python/>`_.

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FarPy GUIE v0.5.1 Released!
by dberlin＠gmail.com 26 Aug '06

26 Aug '06

http://farpy.holev.com/ http://sourceforge.net/projects/farpyguie About GUIE (GUI Editor) provides a simple WYSIWYG GUI editor for wxWidgets. The program was made in C# and saves the GUI that was created to a XML format I called GUIML. This GUIML is a pretty standard representation of the GUI created with the program with some helpful additions for .NET. Next, GUIE takes these GUIML files and translates it to either wxPython Python code or wxRuby Ruby code (more languages in the future). You may ask yourself why I took the extra step? Why didn't I go straight from C# controls to wxPython code? Why is GUIML necessary? Well, it isn't. It is there simply for people (or maybe I) to take the GUIML and convert it to other languages. This, by effect can convert this tool from a Python GUI editor, to "any programming language with a GUI module" GUI editor. The GUI Editor was built to be as point & click as possible, trying to avoid wx's sizers completly. This means that controls can go anywhere, and you have the freedom to play with the GUI however you want. Changes (as of v0.5.1) Added: Drag & Drop functionality for adding controls Changed: Settings mechanism. "settings.opt" replacing "settings.xml". Fixed: Bug causing panel background color to be other than white Changes (as of v0.5) Added: Source release Added: Partial wxPerl support Fixed: Splash screen causes loading delay Fixed: When saving guiml, controls got a gray background-color Changed: Certain GUI improvements in settings form Fixed: Actions should be disabled when no form is open Changed: Logo in splash screen Fixed: XY Coords incorrect when hovering controls Added: Unicode support in guiml files

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ANN: amplee 0.1.0 - Atom Publishing Protocol implementation
by Sylvain Hellegouarch 26 Aug '06

26 Aug '06

================ amplee 0.1.0 ================ What is amplee? ================ amplee is an implementation of the Atom Publishing Protocol using atomixlib 0.4.3 and CherryPy 3. You can find more information at http://trac.defuze.org/wiki/amplee Get amplee ================ easy_install http://www.defuze.org/oss/amplee/amplee-0.1.0-py2.4.egg License ================ BSD Enjoy! - Sylvain Hellegouarch sh defuze.org

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Michigan Python Users Group, September 7 meeting
by Kevin Dangoor 25 Aug '06

25 Aug '06

This is the first anniversary meeting of the Michigan Python Users Group! Thursday, September 7th at 7PM Our topics for this month include an SQLAlchemy Introduction by Mark Ramm and Steve Kryskalla talking about two of the new Python 2.5 features. The meeting will be held at the Arbor Networks office in Ann Arbor.: Arbor Networks City Center Building 220 East Huron, 6th Floor Ann Arbor, MI Map: http://tinyurl.com/pt957 With the topics we have for this meeting, I would expect about 90 minutes of the main topics. We often have free-flowing discussion following the main topics, so feel free to come with other topics you wish to discuss. See you there! Kevin -- Kevin Dangoor TurboGears / Zesty News email: kid(a)blazingthings.com company: http://www.BlazingThings.com blog: http://www.BlueSkyOnMars.com

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[ANN] PyTables 1.3.3 released
by Francesc Altet 25 Aug '06

25 Aug '06

=========================== Announcing PyTables 1.3.3 =========================== I'm happy to announce a new minor release of PyTables. In this one, we have focused on improving compatibility with latest beta versions of NumPy (0.9.8, 1.0b2, 1.0b3 and higher), adding some improvements and the typical bunch of fixes (some of them are important, like the possibility of re-using the same nested class in declaration of table records; see later). Go to the PyTables web site for downloading the beast: http://www.pytables.org/ or keep reading for more info about the new features and bugs fixed. Changes more in depth ===================== Improvements: - Added some workarounds on a couple of 'features' of recent versions of NumPy. Now, PyTables should work with a broad range of NumPy versions, ranging from 0.9.8 up to 1.0b3 (and hopefully beyond, but let's see). - When a loop for appending a table is not flushed before the node is unbounded (and hence, becomes ``killed`` in PyTables slang), like in:: import tables as T class Item(T.IsDescription): name = T.StringCol(length=16) vals = T.Float32Col(0.0) fileh = T.openFile("/tmp/test.h5", "w") table = fileh.createTable(fileh.root, 'table', Item) for i in range(100): table.row.append() #table.flush() # uncomment this prevent the warning table = None # Unbounding table node! a ``PerformanceWarning`` is issued telling the user that it is *much* recommended flushing the buffers in a table before unbounding it. Hopefully, this will also prevent other scary errors (like ``Illegal Instruction``, ``Malloc(): trying to call free() twice``, ``Bus Error`` or ``Segmentation fault`` ) that some people is seeing lately and which are most probably related with this issue. Bug fixes: - In situations where the same metaclass is used for declaring several columns in a table, like in:: class Nested(IsDescription): uid = IntCol() data = FloatCol() class B_Candidate(IsDescription): nested1 = Nested() nested2 = Nested() they were sharing the same column metadata behind the scenes, introducing several inconsistencies on it. This has been fixed. - More work on different padding conventions between NumPy/numarray. Now, all trailing spaces in chararrays are stripped-off during write/read operations. This means that when retrieving NumPy chararrays, it shouldn't appear spureous trailing spaces anymore (not even in the context of recarrays). The drawback is that you will loose *all* the trailing spaces, no matter if you want them in this place or not. This is not a very confortable situation to deal with, but hopefully, things will get better when NumPy would be at the core of PyTables. In the meanwhile, I hope that the current behaviour would be a minor evil for most of situations. This closes ticket #13 (again). - Solved a problem with conversions from numarray charrays to numpy objects. Before, when saving numpy chararrays with a declared length of N, but none of this components reached such a length, the dtype of the numpy chararray retrieved was the maximum length of the component strings. This has been corrected. - Fixed a minor glitch in detection of signedness in IntAtom classes. Thanks to Norbert Nemec for reporting this one and providing the fix. Known bugs: - Using ``Row.update()`` in tables with some columns marked as indexed gives a ``NotImplemented`` error although it should not. This is fixed in SVN trunk and the functionality will be available in the 1.4.x series. Meanwhile, a workaround would be refraining to declare columns as indexed and index them *after* the update process (with Col.createIndex() for example). Deprecated features: - None Backward-incompatible changes: - Please, see ``RELEASE-NOTES.txt`` file. Important note for Windows users ================================ If you are willing to use PyTables with Python 2.4 in Windows platforms, you will need to get the HDF5 library compiled for MSVC 7.1, aka .NET 2003. It can be found at: ftp://ftp.ncsa.uiuc.edu/HDF/HDF5/current/bin/windows/5-165-win-net.ZIP Users of Python 2.3 on Windows will have to download the version of HDF5 compiled with MSVC 6.0 available in: ftp://ftp.ncsa.uiuc.edu/HDF/HDF5/current/bin/windows/5-165-win.ZIP What it is ========== PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data (with qsupport 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 numarray (but NumPy and Numeric are also supported) package 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 sports indexing capabilities as well, allowing doing 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 numarray: http://www.stsci.edu/resources/software_hardware/numarray To know more about the company behind the PyTables development, see: http://www.carabos.com/ Acknowledgments =============== Thanks to various the 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! And last but not least, a big thank you to THG (http://www.hdfgroup.org/) for sponsoring many of the new features recently introduced in PyTables. Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- **Enjoy data!** -- The PyTables Team

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