Mailman 3 December 2008 - Python-announce-list

[ANN] Python 2.5.4 (final)
by "Martin v. Löwis" 23 Dec '08

23 Dec '08

On behalf of the Python development team and the Python community, I'm happy to announce the release of Python 2.5.4 (final). Python 2.5.3 unfortunately contained an incorrect patch that could cause interpreter crashes; the only change in Python 2.5.4 relative to 2.5.4 is the reversal of this patch. 2.5.4 is the last bug fix release of Python 2.5. Future 2.5.x releases will only include security fixes. According to the release notes, about 80 bugs and patches have been addressed since Python 2.5.2, many of them improving the stability of the interpreter, and improving its portability. See the release notes at the website (also available as Misc/NEWS in the source distribution) for details of bugs fixed; most of them prevent interpreter crashes (and now cause proper Python exceptions in cases where the interpreter may have crashed before). For more information on Python 2.5.4, including download links for various platforms, release notes, and known issues, please see: http://www.python.org/2.5.4 Highlights of the previous major Python releases are available from the Python 2.5 page, at http://www.python.org/2.5/highlights.html Enjoy this release, Martin Martin v. Loewis martin(a)v.loewis.de Python Release Manager (on behalf of the entire python-dev team)

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samurai-x2 0.1 released
by dunkfordyce＠googlemail.com 23 Dec '08

23 Dec '08

Hi, We are happy to release version 0.1 of samurai-x2. samurai-x2 is a window manager written in pure python using ctypes, xcb and cairo. samurai-x2 is a rewrite of samurai-x which used xlib, the new version uses xcb instead which makes the code simpler and faster. Using xcb makes samurai-x one of the first window managers to use xcb and using nothing but python and ctypes makes samurai-x one of the first 'pure python' window managers available. For more information, including installation instructions check http://samurai-x.org. Big thanks to all have helped out with samurai-x but especially to Fred Reichbier who has done a lot of work on the new xcb based version and to Jochen Maes for hosting the project. Merry Christmas Dunk Fordyce

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EPD Py2.5 v4.1.30101 Released
by Chris Casey 22 Dec '08

22 Dec '08

Greetings, Enthought, Inc. is very pleased to announce the newest release of the Enthought Python Distribution (EPD) Py2.5 v4.1.30101: http://www.enthought.com/epd The size of the installer has be reduced by about half. Also, this is the first release to include a 3.1.0 version of the Enthought Tool Suite (http://code.enthought.com/), featuring Mayavi 3.1.0. This is also the first release to use Enthought's enhanced version of setuptools, Enstaller (http://code.enthought.com/projects/enstaller/). Windows installation enhancements, matplotlib and wx issues, and menu consistency accross platforms are among notable fixes. The full release notes for this release can be found here: https://svn.enthought.com/epd/wiki/Py25/4.1.30101/RelNotes Many thanks to the EPD team for putting this release together, and to the community of folks who have provided all of the valuable tools bundled here. Best Regards, Chris --------- About EPD --------- The Enthought Python Distribution (EPD) is a "kitchen-sink-included" distribution of the Python™ Programming Language, including over 80 additional tools and libraries. The EPD bundle includes NumPy, SciPy, IPython, 2D and 3D visualization, database adapters, and a lot of other tools right out of the box. http://www.enthought.com/products/epd.php It is currently available as an easy, single-click installer for Windows XP (x86), Mac OS X (a universal binary for Intel 10.4 and above) and RedHat EL3 (x86 and amd64). EPD is free for 30-day trial use and for use in degree-granting academic institutions. An annual Subscription and installation support are available for commercial use (http://www.enthought.com/products/epddownload.php ) including an Enterprise Subscription with support for particular deployment environments (http://www.enthought.com/products/enterprise.php ). _______________________________________________ Enthought-dev mailing list Enthought-dev(a)mail.enthought.com https://mail.enthought.com/mailman/listinfo/enthought-dev

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ANN: ViTables 2.0 released
by Vicent Mas 22 Dec '08

22 Dec '08

Hi, I'm happy to announce a new release of ViTables, the GUI for PyTables and PyTablesPro. This new version is a major rewrite of the previous one. Lots of things have been improved under the hood. A big effort has been made in order to improve not only look and feel (finally it works with PyQt4) but also stability and portability. This version works fine with the just released PyTables 2.1. It seems to work fine with Python 2.6 too (it gives some warnings but apparently thats all) although I've not tested it all with this version of Python. An installer for Windows is now available. As usual you are encouraged to use ViTables and spread the word. ======================== Announcing ViTables 2.0 ======================== I'm happy to present ViTables 2.0, the latest release of this viewer for PyTables/HDF5 files. As it happens with the entire PyTables family, the main strength of ViTables is its ability to manage really large datasets in a fast and comfortable manner. For example, with ViTables you can open a table with one thousand million rows in a few tenths of second, with very low memory requirements. Also important is the fact that it is designed to be a multiplatform application, i.e. it runs flawlessly in Unix (and hence, GNU/Linux), Mac OS X and Windows. The fact that it runs on top of PyTables ensures its speed and memory efficiency. In this release you will find some bug fixes and usability enhancements, but the most important change is that ViTables has been finally migrated to use the Qt4 library. As a consequence ViTables has been largely refactored and even rewritten. It is now more compact (a couple of thousand lines have been dropped), more stable and looks nicer. Changes are important enough to deserve a new major version. Platforms --------- At the moment, ViTables has been fully tested only on GNU/Linux and Windows platforms, but as it is made on top of Python, PyQt and PyTables, its portability should be really good and it should work just fine in other Unices. How to get it ------------- Go to: http://www.vitables.org and click the link 'downloads area' to find the available packages. Share your experience --------------------- I'm very interested in your feedback about ViTables. Please send your opinions, suggestions, bugs, etc. to the ViTables Users Group at http://tech.groups.yahoo.com/group/vitables-users. Thank you! Enjoy Data with ViTables, the troll of the PyTables family! -- Share what you know, learn what you don't.

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ANN: lfm v2.1
by Iñigo Serna 20 Dec '08

20 Dec '08

Hi there, As a present for Christmas I announce here a new version of 'lfm'. Description: ========= Last File Manager is a simple but powerful file manager for the UNIX console. It's written in Python, using curses module. Licensed under GNU Public License version 3. Some of the features you could find in lfm: - console-based file manager for UNIX platforms - 1-pane or 2-pane view - tabs - bookmarks - history - vfs for compressed files - dialogs with entry completion - fast access to a shell - direct integration of find/grep, df and other tools - color files by extension - fast file viewer with text and binary modes - ...and many others Download it from: ============= http://www.terra.es/personal7/inigoserna/lfm or if it doesn't show last version (crap of ISP reverse proxy), try this low-bandwidth home server: http://inigo.katxi.org/devel/lfm Changes since last version: ==================== Version 2.1 ("What do you want for Christimas?") - 2008/12/21: + Ctrl-H now show/hide dot files + Ctrl-Y display directories history + It's now posible to move the cursor in the non-active pane Consult the documentation for available keys and actions This behaviour is de/activated with Ctrl-W + added support for .7z compressed files + swapped F2 and F12 keys, now F2 rename files and F12 show file menu + new key shortcuts in dialogs. Read docs + speed up cursor movement + lots of code cleaning and refactoring + and fixed lot of bugs, some of them: - setup.py: change Iñigo for Inigo to avoid problems when installing - sorting by None doesn't crash anymore - MenuWin dialog crashed when title length was greater than length of entries to show Of course, all comments, suggestions, etc. are welcome. Best regards, Iñigo Serna

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[ANN] Python 2.4.6 and 2.5.3 (final)
by "Martin v. Löwis" 19 Dec '08

19 Dec '08

On behalf of the Python development team and the Python community, I'm happy to announce the release of Python 2.4.6 and 2.5.3 (final). 2.5.3 is the last bug fix release of Python 2.5. Future 2.5.x releases will only include security fixes. According to the release notes, about 80 bugs and patches have been addressed since Python 2.5.2, many of them improving the stability of the interpreter, and improving its portability. Since the release candidate, the only change was an update to the Macintosh packaging procedure. 2.4.6 includes only a small number of security fixes. Python 2.6 is the latest version of Python, we're making this release for people who are still running Python 2.4. See the release notes at the website (also available as Misc/NEWS in the source distribution) for details of bugs fixed; most of them prevent interpreter crashes (and now cause proper Python exceptions in cases where the interpreter may have crashed before). For more information on Python 2.4.6 and 2.5.3, including download links for various platforms, release notes, and known issues, please see: http://www.python.org/2.4.6 http://www.python.org/2.5.3 Highlights of the previous major Python releases are available from the Python 2.5 page, at http://www.python.org/2.4/highlights.html http://www.python.org/2.5/highlights.html Enjoy this release, Martin Martin v. Loewis martin(a)v.loewis.de Python Release Manager (on behalf of the entire python-dev team)

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ANN: PyTables 2.1 (final) released
by Francesc Alted 19 Dec '08

19 Dec '08

=========================== Announcing PyTables 2.1 =========================== 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. PyTables 2.1 introduces important improvements, like much faster node opening, creation or navigation, a file-based way to fine-tune the different PyTables parameters (fully documented now in a new appendix of the manual) and support for multidimensional atoms in EArray/CArray objects. Regarding the Pro edition, four different kinds of indexes are supported so that the user can choose the best for her needs. Also, and due to the introduction of the concept of chunkmaps in OPSI, the responsiveness of complex queries with low selectivity has improved quite a lot. And last but not least, it is possible now to sort tables by a specific field with no practical limit in size (tables up to 2**48 rows). Also, a lot of work has gone in the reworking of the "Optimization tips" chapter of the manual where many benchmarks have been redone using newer software and machines and a few new sections have been added. In particular, see the new "Fine-tuning the chunksize" section where you will find an in-deep introduction to the subject of chunking and the "Indexing and Solid State Disks (SSD)" where the advantages of using low-latency SSD disks have been analysed in the context of indexation. In case you want to know more in detail what has changed in this version, have a look at ``RELEASE_NOTES.txt`` in the tarball. Find the HTML version for this document at: http://www.pytables.org/moin/ReleaseNotes/Release_2.1 You can download a source package of the version 2.1 with generated PDF and HTML docs and 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-2.1 Finally, you can get an evaluation version for PyTables Pro in: http://www.pytables.org/download/evaluation Resources ========= Go to the PyTables web site for more details: 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. Many thanks also to SourceForge who have helped to make and distribute this package! And last, but not least thanks a lot 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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ikaaro 0.50.0 released
by "J. David Ibáñez" 19 Dec '08

19 Dec '08

This is a Content Management System built on Python & itools, among other features ikaaro provides: - content and document management (index&search, metadata, etc.) - multilingual user interfaces and content - high level modules: wiki, forum, tracker, etc. This release has seen the major changes in the user interface for a long time. Most notably the backoffice is now integrated into the frontoffice. When the user logs in the application, the backoffice interfaces appear. A number of changes have been made to satisfy this new approach. In particular the backoffice interfaces are lighter. For instance the two level drop down menu has been replaced by a discrete flat menu. Another example, now the right column, instead of being always visible, contains context menus that appear or dissappear depending on the resource & view being displayed. The internationalization and localization of the user interfaces has also been considerably improved. For example now there is a global language selector, available in both the front and back office modes. And several components are multilingual now, like the HTML editor (TinyMCE [1]) and the tracker tables. Some other features have been added to the issue tracker. First, a calendar has been integrated, in order to track resources attached to an issue. Another important change, there is a new field called 'Products', and now modules and versions are classified by product (inspiration from bugzilla [2]). Many other changes have been made to the user interface, too many to enumerate them here. The application behaviour is also more respectful of the REST [3] paradigm. For instance now there are much less redirections than before. However, it is probably the changes under the hood that are most important. Specifically the architecture changes concerning the way a resource view is built. Before a view was a resource method, simple enough but not very scalable. Now a view is a class in itself, what enhances the possibilities of code refactoring. Again, the changes to the programming interface are too many to enumerate here. See the upgrade notes for more. [1] http://tinymce.moxiecode.com/ [2] http://www.bugzilla.org/ [3] http://en.wikipedia.org/wiki/Representational_State_Transfer Resources --------- Download http://download.hforge.org/ikaaro/ikaaro-0.50.0.tar.gz Home http://www.hforge.org/ikaaro Mailing list http://www.hforge.org/community/ http://archives.hforge.org/index.cgi?list=itools Bug Tracker http://bugs.hforge.org/ -- J. David Ibáñez Itaapy <http://www.itaapy.com> Tel +33 (0)1 42 23 67 45 9 rue Darwin, 75018 Paris Fax +33 (0)1 53 28 27 88

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ANN: eGenix pyOpenSSL Distribution 0.8.0-0.9.8i-1
by eGenix Team: M.-A. Lemburg 19 Dec '08

19 Dec '08

________________________________________________________________________ ANNOUNCING eGenix.com pyOpenSSL Distribution Version 0.8.0-0.9.8i-1 An easy to install and use repackaged distribution of the pyOpenSSL Python interface for OpenSSL - available on Windows and Unix platforms This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-pyOpenSSL-Distribution-0.8.0-0.9.… ________________________________________________________________________ INTRODUCTION The eGenix.com pyOpenSSL Distribution includes everything you need to get started with SSL in Python. It comes with an easy to use installer that includes the most recent OpenSSL library versions in pre-compiled form. pyOpenSSL is an open-source Python add-on (http://pyopenssl.sf.net/) that allows writing SSL aware networking applications as well as certificate management tools. OpenSSL is an open-source implementation of the SSL protocol (http://www.openssl.org/). For more information, please see the product page: http://www.egenix.com/products/python/pyOpenSSL/ ________________________________________________________________________ NEWS This third release of the eGenix.com pyOpenSSL Distribution upgrades pyOpenSSL to version 0.8, which includes a few bug fixes related to threading. Please note that OpenSSL, the underlying SSL engine, does not allow sharing connections between threads. This is a little known fact which could in the past cause pyOpenSSL to crash Python. Jean-Paul Calderone, the maintainer of pyOpenSSL, has added fixes in 0.8 to prevent those crashes. We have also fixed several compiler warnings found in the code. The version of pyOpenSSL you find in the source release has those patches applied. Binaries are available for Linux x86 and x64 as well as Windows x86 and include pyOpenSSL 0.8.0 as well as the OpenSSL 0.9.8i libraries. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the package can be found at: http://www.egenix.com/products/python/pyOpenSSL/ ________________________________________________________________________ UPGRADING Before installing this version of pyOpenSSL, please make sure that you uninstall any previously installed pyOpenSSL version. Otherwise, you could end up not using the included OpenSSL libs. _______________________________________________________________________ SUPPORT Commercial support for these packages is available from eGenix.com. Please see http://www.egenix.com/services/support/ for details about our support offerings. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Dec 19 2008) >>> Python/Zope Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2008-12-02: Released mxODBC.Connect 1.0.0 http://python.egenix.com/ ::: Try our new mxODBC.Connect Python Database Interface for free ! :::: eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48 D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg Registered at Amtsgericht Duesseldorf: HRB 46611 http://www.egenix.com/company/contact/

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ANN: Resolver One Spreadsheet Challenge - win $17000
by Fuzzyman 18 Dec '08

18 Dec '08

Resolver One is the Python powered spreadsheet created by Resolver Systems. Resolver One is a highly programmable spreadsheet program built with IronPython. It is capable of creating powerful spreadsheet systems, but is easy to program with Python and .NET libraries. We’re convinced that Resolver One allows people to create astonishing things that simply aren’t possible in a traditional spreadsheet environment. And we want to prove it. Enter the Resolver One Spreadsheet Challenge: http://www.resolversystems.com/competition/ The Resolver One Challenge We're so confident about the revolutionary potential of Resolver One that we've set up the $25,000 Resolver One Challenge. Every month between now and May, we will be giving away $2,000 for the best spreadsheet we receive. And in late May, we'll be handing over $15,000 for the best of the best. Let your imagination run wild Build a blogging engine directly in Resolver One. Hook Resolver One up to existing .NET or Python libraries in unusual ways. Build the game of life, or a Mandelbrot viewer directly into the grid. Get Infocom adventure games running inside a spreadsheet; or for that matter, have a conversation with Eliza. Make a music player that does visualisations in the cells. Or something more businesslike? Use the sophisticated web integration to pull of stock prices, or integrate your spreadsheet with Google Maps. (Perhaps you could build a spreadsheet that plots a map, showing in which part of the country stock or house prices are rising or falling the most.) Build an election predictor (and use a combination of Monte Carlo analysis and the web front end to make it really special). In other words: Resolver One gives you the tools, you just need to use your imagination, and your Python and spreadsheet skills! Resolver One is free to try and for non-commercial and Open Source uses. You can download it from: http://www.resolversystems.com/download/ To get you started with Resolver One we have a new tutorial. It takes you through all the major features, with examples to try: http://www.resolversystems.com/documentation/index.php/Tutorial.html Michael Foord Software Developer Resolver Systems

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