Mailman 3 April 2006 - Python-announce-list

Dr. Dobb's Python-URL! - weekly Python news and links (Apr 4)
by Peter Otten 04 Apr '06

04 Apr '06

QOTW: "Don't be too sure that it's compatible for the indefinite future. XML is just as future-proof as any other format." - Sybren Stuvel "Submitting a proposed change or fix [of the Python docs] is easier and quicker than arguing about it on c.l.py and it seems to get pretty quickly to the actual document maintainers." - Kent Johnson Still struggling with recursion? comp.lang.python is newbie-friendly: http://groups.google.com/group/comp.lang.python/browse_frm/thread/2ca81c529… An interview with Michael Foord, author of MovablePython, is the latest entry in the Python411 series intended to help you learn Python and learn about Python: http://www.awaretek.com/python/index.html PyInstaller advances Gordon McMillan's earlier and widely-used work on Python installation: http://pyinstaller.hpcf.upr.edu/cgi-bin/trac.cgi "If PL/SQL is your only programming language, your Oracle work may suffer." In her introductory article Catherine Devlin demonstrates the power of Python from the perspective of a database user: http://www.oracle.com/technology/pub/articles/devlin-python-oracle.html http://catherinedevlin.blogspot.com/2006/03/otn-article-addendum.html Getting hold of subclasses is easy with new-style classes: http://groups.google.com/group/comp.lang.python/msg/8fbe567f4ff121f9 Once you learn about the secret of iter()'s second parameter, many use cases of a while-loop in C can be better expressed with a for-loop in Python: http://groups.google.com/group/comp.lang.python/browse_frm/thread/b3ab8141c… The Python 2.4.3 bugfix release is available: http://groups.google.com/group/comp.lang.python/browse_frm/thread/93a2ad5d9… ======================================================================== Everything Python-related you want is probably one or two clicks away in these pages: Python.org's Python Language Website is the traditional center of Pythonia http://www.python.org Notice especially the master FAQ http://www.python.org/doc/FAQ.html PythonWare complements the digest you're reading with the marvelous daily python url http://www.pythonware.com/daily Mygale is a news-gathering webcrawler that specializes in (new) World-Wide Web articles related to Python. http://www.awaretek.com/nowak/mygale.html While cosmetically similar, Mygale and the Daily Python-URL are utterly different in their technologies and generally in their results. For far, FAR more Python reading than any one mind should absorb, much of it quite interesting, several pages index much of the universe of Pybloggers. http://lowlife.jp/cgi-bin/moin.cgi/PythonProgrammersWeblog http://www.planetpython.org/ http://mechanicalcat.net/pyblagg.html comp.lang.python.announce announces new Python software. Be sure to scan this newsgroup weekly. http://groups.google.com/groups?oi=djq&as_ugroup=comp.lang.python.announce Steve Bethard, Tim Lesher, and Tony Meyer continue the marvelous tradition early borne by Andrew Kuchling, Michael Hudson and Brett Cannon of intelligently summarizing action on the python-dev mailing list once every other week. http://www.python.org/dev/summary/ The Python Package Index catalogues packages. http://www.python.org/pypi/ The somewhat older Vaults of Parnassus ambitiously collects references to all sorts of Python resources. http://www.vex.net/~x/parnassus/ Much of Python's real work takes place on Special-Interest Group mailing lists http://www.python.org/sigs/ Python Success Stories--from air-traffic control to on-line match-making--can inspire you or decision-makers to whom you're subject with a vision of what the language makes practical. http://www.pythonology.com/success The Python Software Foundation (PSF) has replaced the Python Consortium as an independent nexus of activity. It has official responsibility for Python's development and maintenance. http://www.python.org/psf/ Among the ways you can support PSF is with a donation. http://www.python.org/psf/donate.html Kurt B. Kaiser publishes a weekly report on faults and patches. http://www.google.com/groups?as_usubject=weekly%20python%20patch Although unmaintained since 2002, the Cetus collection of Python hyperlinks retains a few gems. http://www.cetus-links.org/oo_python.html Python FAQTS http://python.faqts.com/ The Cookbook is a collaborative effort to capture useful and interesting recipes. http://aspn.activestate.com/ASPN/Cookbook/Python Among several Python-oriented RSS/RDF feeds available are http://www.python.org/channews.rdf http://bootleg-rss.g-blog.net/pythonware_com_daily.pcgi http://python.de/backend.php For more, see http://www.syndic8.com/feedlist.php?ShowMatch=python&ShowStatus=all The old Python "To-Do List" now lives principally in a SourceForge reincarnation. http://sourceforge.net/tracker/?atid=355470&group_id=5470&func=browse http://python.sourceforge.net/peps/pep-0042.html The online Python Journal is posted at pythonjournal.cognizor.com. editor(a)pythonjournal.com and editor(a)pythonjournal.cognizor.com welcome submission of material that helps people's understanding of Python use, and offer Web presentation of your work. del.icio.us presents an intriguing approach to reference commentary. It already aggregates quite a bit of Python intelligence. http://del.icio.us/tag/python *Py: the Journal of the Python Language* http://www.pyzine.com Archive probing tricks of the trade: http://groups.google.com/groups?oi=djq&as_ugroup=comp.lang.python&num=100 http://groups.google.com/groups?meta=site%3Dgroups%26group%3Dcomp.lang.pyth… Previous - (U)se the (R)esource, (L)uke! - messages are listed here: http://www.ddj.com/topic/python/ (requires subscription) http://groups-beta.google.com/groups?q=python-url+group:comp.lang.python*&s… http://purl.org/thecliff/python/url.html (dormant) or http://groups.google.com/groups?oi=djq&as_q=+Python-URL!&as_ugroup=comp.lan… There is *not* an RSS for "Python-URL!"--at least not yet. Arguments for and against are occasionally entertained. Suggestions/corrections for next week's posting are always welcome. E-mail to <Python-URL(a)phaseit.net> should get through. To receive a new issue of this posting in e-mail each Monday morning (approximately), ask <claird(a)phaseit.net> to subscribe. Mention "Python-URL!". -- The Python-URL! Team-- Dr. Dobb's Journal (http://www.ddj.com) is pleased to participate in and sponsor the "Python-URL!" project.

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ANN: CherryPy-2.2.0 released
by remi＠cherrypy.org 04 Apr '06

04 Apr '06

(sorry for the double-post, the title of the previous one was wrong) Hello everyone, After six months of hard work and 300 changesets since the last stable release I'm happy to announce that CherryPy-2.2.0-final is out. The biggest changes are: - switch to a lowercase api (although the old camelCase API is still supported for backward compatibility) - support for multiple applications (new "cherrypy.tree" object) - better error handling - lots of bug fixes (especially in file-based sessions) - better test suite. Check out http://www.cherrypy.org/wiki/UpgradeTo2.2 for more details. *************** About CherryPy: CherryPy is a simple (no dependencies), pythonic (doesn't get in your way) web development framework. Here is a sample Hello, World in CherryPy: # import cherrypy # class HelloWorld: # @cherrypy.expose # def index(self): # yield "<html><body>" # yield "Hello world!" # yield "</body></html>" # cherrypy.root = HelloWorld() # cherrypy.server.start() The project has been growing strongly lately: cherrypy.org averaged 3000 visitors/day in March, up from 2000 visitors/day in January and February; and the cherrypy-users list just passed 700 users. Details and downloads are available from: http://www.cherrypy.org Remi.

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ANN: CherryPy-2.2.0-rc1 released
by remi＠cherrypy.org 04 Apr '06

04 Apr '06

Hello everyone, After six months of hard work and 300 changesets since the last stable release I'm happy to announce that CherryPy-2.2.0-final is out. The biggest changes are: - switch to a lowercase api (although the old camelCase API is still supported for backward compatibility) - support for multiple applications (new "cherrypy.tree" object) - better error handling - lots of bug fixes (especially in file-based sessions) - better test suite. Check out http://www.cherrypy.org/wiki/UpgradeTo2.2 for more details. *************** About CherryPy: CherryPy is a simple (no dependencies), pythonic (doesn't get in your way) web development framework. Here is a sample Hello, World in CherryPy: # import cherrypy # class HelloWorld: # @cherrypy.expose # def index(self): # yield "<html><body>" # yield "Hello world!" # yield "</body></html>" # cherrypy.root = HelloWorld() # cherrypy.server.start() The project has been growing strongly lately: cherrypy.org averaged 3000 visitors/day in March, up from 2000 visitors/day in January and February; and the cherrypy-users list just passed 700 users. Details and downloads are available from: http://www.cherrypy.org Remi.

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ANNOUNCE: Rhizome 0.6.0
by Adam Souzis 03 Apr '06

03 Apr '06

Rhizome is an application stack for building RDF-based applications and web sites implemented in Python. It includes: RxPath, a RDF data engine that allows XSLT, Schematron and other XPath-based languages to directly access RDF stores; Raccoon, an application server; and Rhizome Wiki, a Wiki-like content management and delivery system that brings the Wiki approach to building dynamic web sites. What's new? Major changes since last announced release (0.5.1): Rhizome Wiki: * major performance enhancements: several times faster * now supports GRDDL and "shredding", a framework for extracting RDF from content and maintaining the relationship over time. * better support for viewing and editing RDF directly with most RDF formats (RDF/XML, NTriples, Turtle). * new UI for editing users and roles * more Wiki features, including tracking missing pages and page and comment spam detection via the Akismet service RxPath: * much faster: now uses a simple but optimizing query engine * support for RDF named graphs (RDF contexts) * better support for using RxPath in XML contexts (e.g. an XSLT page) * better support 3rd party RDF libraries and RDF stores In addition, there have been many other enhancements, see http://rx4rdf.liminalzone.org/changelog.txt for more details. More Info: * RxPath provides a deterministic mapping between the RDF abstract syntax to the XPath data model, allowing you to query, transform, update and validate a RDF model with languages syntactically indentical to XPath, XSL, XUpdate and Schematron. * Raccoon is a simple application server that uses an RDF model for its data store, roughly analogous to RDF as Apache Cocoon is to XML. Raccoon uses RxPath to translate arbitrary requests (currently HTTP, XML-RPC and command line arguments) to RDF resources, each of which can be associated with RxSLT and RxUpdate stylesheets. * Rhizome is a Wiki-like content management and delivery system built on Raccoon that takes the concept of the Wiki to the next level: everything is editable, not just content but its meta-data and behavior, even the structure of the site itself. Furthermore, Wiki entries are abstract globally unique RDF resources that can have any kind of content and whose presentation is contextual. Rhizome uses: * ZML, a Wiki-like text formatting language that lets you write arbitrary XML or HTML (using Python-esque indentation rules), enabling you to author XML documents with (nearly) the same ease as a Wiki entry. * RxML, an alternative XML serialization for RDF that is designed for easy authoring in ZML, allowing novices to author and edit RDF metadata. Homepage: http://rx4rdf.liminalzone.org/ Download: http://sourceforge.net/project/showfiles.php?group_id=85676 -- adam (asouzis at user.sf.net)

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Leipzig Python User Group - Meeting, April 11 2006, 8:00pm
by Mike Mueller 03 Apr '06

03 Apr '06

========================= Leipzig Python User Group ========================= Next Meeting Tuesday, April 11 2006 ----------------------------------- We will meet on April 11 at 8:00 pm at the training center of Python Academy in Leipzig, Germany (http://www.python-academy.com/center/find.html). Mike Müller will talk about rest2web (http://www.voidspace.org.uk/python/rest2web/), a Python module for dynamic generation of static websites. 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, English speakers are very welcome. We will provide English interpretation if needed. Current information about the meetings can always be found at http://www.python-academy.com/user-group/index.html ========================= Leipzig Python User Group ========================= Stammtisch am 11.04.2006 ------------------------- Wir treffen uns am 11.04.2006 um 20:00 Uhr wieder im im Schulungszentrum der Python Academy in Leipzig (http://www.python-academy.de/Schulungszentrum/anfahrt.html). Diesmal wird Mike Müller über "rest2web - dynamische Erstellung statischer Webseiten" berichten (http://www.voidspace.org.uk/python/rest2web/). Für das leibliche Wohl wird gesorgt. Wir bitten um kurze Anmeldung per e-mail an: info(a)python-academy.de An den Treffen der Python Anwendergruppe kann jeder teilnehmen, der Interesse an Python hat, die Sprache bereits nutzt oder nutzen möchte. Die Arbeitssprachen des Treffens ist Deutsch. English sprechende Python-Enthusiasten sind trotzdem herzlich eingeladen. Wir übersetzen gern. Aktuelle Informationen zu den Treffen sind immer unter http://www.python-academy.de/User-Group/index.html zu finden.

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EuroPython 2006 Call For Proposals
by Michael Hudson 03 Apr '06

03 Apr '06

EuroPython, the European Python and Zope conference, will this year take place at CERN near Geneva in Switzerland from Monday 3 July to Wednesday 5 July 2006. To make this conference as successful as the previous four conferences we need talks, and this is where you come in. This year, as before, we have a variety of tracks or topics that we encourage talks in: Science Python Language and Libraries Agile Development Web Frameworks Business and Applications Teaching Games and Entertainment Misfits As the conference is at CERN this year, we are particularly interested in hearing about Python being used in the scientific world. We want to be certain that you do not feel excluded by the above list of tracks; if you have something interesting to talk about and it doesn't really fit any of the above categories, the "Misfits" track is just for you. There will be a refereed papers track as well this year, which will be announced separately. To read a longer description of each track go here: http://indico.cern.ch/conferenceProgram.py?confId=44 To submit a talk, go here: http://indico.cern.ch/abstractSubmission.py?confId=44 For more general information on the conference, please visit: http://www.europython.org/ -- There are two kinds of large software systems: those that evolved from small systems and those that don't work. -- Seen on slashdot.org, then quoted by amk

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Pydev and Pydev Extensions 1.0.4 release
by Fabio Zadrozny 03 Apr '06

03 Apr '06

Hi All, Pydev and Pydev Extensions 1.0.4 have been released Check http://www.fabioz.com/pydev for details on Pydev Extensions and http://pydev.sf.net for details on Pydev Release Highlights in Pydev Extensions: ----------------------------------------------------------------- - Interactive Console binded to the Pydev Editor - Bug-fixes Release Highlights in Pydev: ---------------------------------------------- - Added jython scripting - Added an 'easy' way to bind actions after Ctrl+2 (to make scripting easier) - Added a way to list things binded with Ctrl+2 (To see: Ctrl+2+help) - Added a 'go to next problem' with jython scripting capabilities, as a first example on how to script Pydev with Jython (Ctrl+.) - A brand new indentation engine is available: * Does not try to make different indentations inside multilines * Does not try to add spaces to make smart-indent when in only tabs mode * Indents correctly after opening some bracket or after closing some bracket * Indents to 'expected level' when hitting tab - Fixed bug: syntax error described instead of throwing an error - Profiled Pydev (not that much, but still, I hope you'll be able to 'feel' it) - Fixed bug: the pythonpath was not added when additional environment variables where specified - And as always, other bugs have been fixed 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] Karrigell-2.2.3 released
by Pierre Quentel 02 Apr '06

02 Apr '06

The new version of the web framework Karrigell has been released a few days ago Its main feature is the support of Unicode Karrigell is provided with an integrated web server and a Python database (KirbyBase) so that you can start programming simple applications without anything else. For more ambitious uses, you can run it behind Apache and with all the databases for which a Python API exists The principle of Karrigell is that scripts are run in a namespace with all the variables you need already set : form fields, functions for session management and authentication, exceptions, etc For instance, suppose you ask a user to enter his login with <input name="login"> and you want to store it using sessions. You would just have to put this in a script : Session().user = _login Without having anything to import, the script will find the name Session bound to a function that returns a browser-specific session object, and the name _login which is the value of the form field <input name="login"> Read more on the tutorial : http://quentel.python-hosting.com/wiki/index.pih Pierre

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ANN: PyTables 1.3 released
by Francesc Altet 01 Apr '06

01 Apr '06

========================= Announcing PyTables 1.3 ========================= This is a new major release of PyTables. The most remarkable feature added in this version is a complete support (well, almost, because unicode arrays are not there yet) for NumPy objects. Improved support for native HDF5 is there as well. As an aside, I'm happy to inform you that the PyTables web site (http://www.pytables.org) has been converted into a wiki so that users can contribute to the project with recipes or any other document. Try it out! Go to the (new) 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: - Support for NumPy objects in all the objects of PyTables, namely: Array, CArray, EArray, VLArray and Table. All the numerical and character (except unicode arrays) flavors are supported as well as plain and nested heterogeneous NumPy arrays. PyTables leverages the adoption of the array interface (http://numeric.scipy.org/array_interface.html) for a very efficient conversion between all the numarray (which continues to be the native flavor for PyTables) object to/from NumPy/Numeric. - The FLAVOR schema in PyTables has been refined and simplified. Now, the only 'flavors' allowed for data objects are: "numarray", "numpy", "numeric" and "python". The changes has been made so that they are fully backward compatible with existing PyTables files. However, when users would try to use old flavors (like "Numeric" or "Tuple") in existing code, a ``DeprecationWarning`` will be issued in order to encourage them to migrate to the new flavors as soon as possible. - Nested fields can be specified in the "field" parameter of Table.read by using a '/' as a separator between fields (e.g. 'Info/value'). - The Table.Cols accessor has received a new ``__setitem__()`` method that allows doing things like: table.cols[4] = record table.cols.x[4:1000:2] = array # homogeneous column table.cols.Info[4:1000:2] = recarray # nested column - A clean-up function (using ``atexit``) has been registered so that remaining opened files are closed when a user hits a ^C, for example. That would help to avoid ending with corrupted files. - Native HDF5 compound datasets that are contiguous are supported now. Before, only chunked datasets were supported. - Updated (and much improved) sections about compression issues in the User's Guide. It includes new benchmarks made with PyTables 1.3 and a exhaustive comparison between Zlib, LZO and bzip2. - The HTML version of manual is made now from the docbook2html package for an improved look (IMO). Bug fixes: - Solved a problem when trying to save CharArrays with itemsize = 0 as attributes of nodes. Now, these objects are pickled in order to prevent HDF5 from crashing. - Fixed some alignment issues with nested record arrays under certain architectures (e.g. PowerPC). - Fixed automatic conversions when a VLArray is read in a platform with a byte ordering different from the file. Deprecated features: - Due to recurrent problems with the UCL compression library, it has been declared deprecated from this version on. You can still compile PyTables with UCL support (using the --force-ucl), but you are urged to not use it anymore and convert any existing datafiles with UCL to other supported library (zlib, lzo or bzip2) with the ``ptrepack`` utility. 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 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 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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ANN: PyTables 1.3 is released
by Francesc Altet 01 Apr '06

01 Apr '06

========================= Announcing PyTables 1.3 ========================= This is a new major release of PyTables. The most remarkable feature added in this version is a complete support (well, almost, because unicode arrays are not there yet) for NumPy objects. Improved support for native HDF5 is there as well. As an aside, I'm happy to inform you that the PyTables web site (http://www.pytables.org) has been converted into a wiki so that users can contribute to the project with recipes or any other document. Try it out! Go to the (new) 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: - Support for NumPy objects in all the objects of PyTables, namely: Array, CArray, EArray, VLArray and Table. All the numerical and character (except unicode arrays) flavors are supported as well as plain and nested heterogeneous NumPy arrays. PyTables leverages the adoption of the array interface (http://numeric.scipy.org/array_interface.html) for a very efficient conversion between all the numarray (which continues to be the native flavor for PyTables) object to/from NumPy/Numeric. - The FLAVOR schema in PyTables has been refined and simplified. Now, the only 'flavors' allowed for data objects are: "numarray", "numpy", "numeric" and "python". The changes has been made so that they are fully backward compatible with existing PyTables files. However, when users would try to use old flavors (like "Numeric" or "Tuple") in existing code, a ``DeprecationWarning`` will be issued in order to encourage them to migrate to the new flavors as soon as possible. - Nested fields can be specified in the "field" parameter of Table.read by using a '/' as a separator between fields (e.g. 'Info/value'). - The Table.Cols accessor has received a new ``__setitem__()`` method that allows doing things like: table.cols[4] = record table.cols.x[4:1000:2] = array # homogeneous column table.cols.Info[4:1000:2] = recarray # nested column - A clean-up function (using ``atexit``) has been registered so that remaining opened files are closed when a user hits a ^C, for example. That would help to avoid ending with corrupted files. - Native HDF5 compound datasets that are contiguous are supported now. Before, only chunked datasets were supported. - Updated (and much improved) sections about compression issues in the User's Guide. It includes new benchmarks made with PyTables 1.3 and a exhaustive comparison between Zlib, LZO and bzip2. - The HTML version of manual is made now from the docbook2html package for an improved look (IMO). Bug fixes: - Solved a problem when trying to save CharArrays with itemsize = 0 as attributes of nodes. Now, these objects are pickled in order to prevent HDF5 from crashing. - Fixed some alignment issues with nested record arrays under certain architectures (e.g. PowerPC). - Fixed automatic conversions when a VLArray is read in a platform with a byte ordering different from the file. Deprecated features: - Due to recurrent problems with the UCL compression library, it has been declared deprecated from this version on. You can still compile PyTables with UCL support (using the --force-ucl), but you are urged to not use it anymore and convert any existing datafiles with UCL to other supported library (zlib, lzo or bzip2) with the ``ptrepack`` utility. 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 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 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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