Mailman 3 May 2010 - Python-announce-list

PyH 0.1 released
by bluesmanu 14 May '10

14 May '10

Hi all, I am proud to announce the release of the version 0.1 of the python module PyH. PyH lets you generate CSS and Javascript-aware HTML code (be it to a file or to a web client) easily and effortlessly. You can code your webpage like a GUI. Each HTML tag is a python object which attributes you can access and modify at any time in you script. Visit http://code.google.com/p/pyh/ for demos and examples. You can fill bug reports and feature requests at https://launchpad.net/pyh Thank you very much for your feedback. Cheers, Emmanuel

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Wing IDE 3.2.7 released
by Wingware 14 May '10

14 May '10

Hi, Wingware has released version 3.2.7 of Wing IDE, an integrated development environment designed specifically for the Python programming language. Wing IDE is a cross-platform Python IDE that provides a professional code editor with vi, emacs, and other key bindings, auto-completion, call tips, a powerful graphical debugger, version control, unit testing, search, and many other features. This release includes the following minor features and improvements: * Added preference to control mini-search case sensitivity * Added Debug to Here editor context menu item and Alt-F5 binding * Fixed parsing of "from package.module import *" statements * Fixed shared perspectives * Improved default extension set in Windows file dialogs * Several VI mode improvements (details in change log) * Several Templates tool fixes (details in change log) * Confirm close of Feedback and Bug Report windows * Fix up and down arrow keys in Debug I/O tool * Several other minor bug fixes See the change log at http://wingware.com/pub/wingide/3.2.7/CHANGELOG.txt for details *Downloads* Wing IDE Professional and Wing IDE Personal are commercial software and require a license to run. A free trial license can be obtained directly from the product when launched. Wing IDE 101 can be used free of charge. Wing IDE Pro 3.2.7 http://wingware.com/downloads/wingide/3.2 Wing IDE Personal 3.2.7 http://wingware.com/downloads/wingide-personal/3.2 Wing IDE 101 3.2.7 http://wingware.com/downloads/wingide-101/3.2 *About Wing IDE* Wing IDE is an integrated development environment designed specifically for the Python programming language. It provides powerful editing, testing, and debugging features that help reduce development and debugging time, cut down on coding errors, and make it easier to understand and navigate Python code. Wing IDE can be used to develop Python code for web, GUI, and embedded scripting applications. Wing IDE is available in three product levels: Wing IDE Professional is the full-featured Python IDE, Wing IDE Personal offers a reduced feature set at a low price, and Wing IDE 101 is a free simplified version designed for teaching entry level programming courses with Python. Version 3.2 of Wing IDE Professional includes the following major features: * Professional quality code editor with vi, emacs, and other keyboard personalities * Code intelligence for Python: Auto-completion, call tips, goto-definition, error indicators, smart indent and rewrapping, and source navigation * Advanced multi-threaded debugger with graphical UI, command line interaction, conditional breakpoints, data value tooltips over code, watch tool, and externally launched and remote debugging * Powerful search and replace options including keyboard driven and graphical UIs, multi-file, wild card, and regular expression search and replace * Version control integration for Subversion, CVS, Bazaar, git, Mercurial, and Perforce * Integrated unit testing with unittest, nose, and doctest frameworks * Many other features including project manager, bookmarks, code snippets, OS command integration, indentation manager, PyLint integration, and perspectives * Extremely configurable and may be extended with Python scripts Please refer to the feature list at http://wingware.com/wingide/features for a detailed listing of features by product level. System requirements are Windows 2000 or later, OS X 10.3.9 or later for PPC or Intel (requires X11 Server), or a recent Linux system (either 32 or 64 bit). Wing IDE supports Python versions 2.0.x through 3.1.x and Stackless Python. For more information, see http://wingware.com/products *Purchasing and Upgrading* Wing 3.2 is a free upgrade for all Wing IDE 3.0 and 3.1 users. Version 2.x licenses cost 1/2 the normal price to upgrade. Upgrade a 2.x license: https://wingware.com/store/upgrade Purchase a 3.x license: https://wingware.com/store/purchase -- The Wingware Team Wingware | Python IDE Advancing Software Development www.wingware.com

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[ANN] RedNotebook 0.9.5
by Jendrik Seipp 13 May '10

13 May '10

RedNotebook 0.9.5 has been released. You can get the tarball at http://sourceforge.net/projects/rednotebook/files/ For links to distribution packages head to the RedNotebook homepage http://rednotebook.sourceforge.net What is RedNotebook? -------------------- RedNotebook is a **graphical journal** and diary helping you keep track of notes and thoughts. It includes a calendar navigation, customizable templates, export functionality and word clouds. You can also format, tag and search your entries. RedNotebook is available in the repositories of most common Linux distributions and a Windows installer is available. What's new? ----------- * Show week numbers in calendar (edit weekNumbers in config file) * Sort items in configuration.cfg * Automatically put cursor into search field, when search tab is opened * Do not translate log * Fix export error on Windows (LP:575999) * Get rid of PangoWarnings on Windows * Get rid of Statusbar deprecation message * New recommended dependency: python-chardet Cheers, Jendrik

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Call for Papers: Workshop on Self-sustaining Systems (S3) 2010
by Carl Friedrich Bolz 13 May '10

13 May '10

*** Workshop on Self-sustaining Systems (S3) 2010 *** September 27-28, 2010 The University of Tokyo, Japan http://www.hpi.uni-potsdam.de/swa/s3/s3-10/ In cooperation with ACM SIGPLAN === Call for papers === The Workshop on Self-sustaining Systems (S3) is a forum for discussion of topics relating to computer systems and languages that are able to bootstrap, implement, modify, and maintain themselves. One property of these systems is that their implementation is based on small but powerful abstractions; examples include (amongst others) Squeak/Smalltalk, COLA, Klein/Self, PyPy/Python, Rubinius/Ruby, and Lisp. Such systems are the engines of their own replacement, giving researchers and developers great power to experiment with, and explore future directions from within, their own small language kernels. S3 will be take place September 27-28, 2010 at The University of Tokyo, Japan. It is an exciting opportunity for researchers and practitioners interested in self-sustaining systems to meet and share their knowledge, experience, and ideas for future research and development. --- Submissions and proceedings --- S3 invites submissions of high-quality papers reporting original research, or describing innovative contributions to, or experience with, self-sustaining systems, their implementation, and their application. Papers that depart significantly from established ideas and practices are particularly welcome. Submissions must not have been published previously and must not be under review for any another refereed event or publication. The program committee will evaluate each contributed paper based on its relevance, significance, clarity, and originality. Revised papers will be published as post-proceedings in the ACM Digital Library. Papers should be submitted electronically via EasyChair at http://www.easychair.org/conferences/?conf=s32010 in PDF format. Submissions must be written in English (the official language of the workshop) and must not exceed 10 pages. They should use the ACM SIGPLAN 10 point format, templates for which are available at http://www.acm.org/sigs/sigplan/authorInformation.htm. --- Venue --- The University of Tokyo, Komaba Campus, Japan --- Important dates --- Submission of papers: July 30, 2010 Author notification: August 27, 2010 Early registration: September 3, 2010 Revised papers: September 10, 2010 S3 workshop: September 27-28, 2010 Final papers for ACM-DL post-proceedings: October 15, 2010 --- Chairs --- Robert Hirschfeld (Hasso-Plattner-Institut Potsdam, Germany) hirschfeld(a)hpi.uni-potsdam.de Hidehiko Masuhara (The University of Tokyo, Japan) masuhara(a)graco.c.u-tokyo.ac.jp Kim Rose (Viewpoints Research Institute, USA) kim.rose(a)vpri.org --- Program committee --- Carl Friedrich Bolz, University of Duesseldorf, Germany Johan Brichau, Universite Catholique de Louvain, Belgium Shigeru Chiba, Tokyo Institute of Technology, Japan Brian Demsky, University of California, Irvine, USA Marcus Denker, INRIA Lille, France Richard P. Gabriel, IBM Research, USA Michael Haupt, Hasso-Plattner-Institut, Germany Robert Hirschfeld, Hasso-Plattner-Institut, Germany (co-chair) Atsushi Igarashi, University of Kyoto, Japan David Lorenz, The Open University, Israel Hidehiko Masuhara, University of Tokyo, Japan (co-chair) Eliot Miranda, Teleplace, USA Ian Piumarta, Viewpoints Research Institute, USA Martin Rinard, MIT, USA Antero Taivalsaari, Nokia, Finland David Ungar, IBM, USA

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ANN: Release of SimPy2.1.0beta (Simulation in Python)
by Klaus G. Muller 12 May '10

12 May '10

It is my pleasure to announce the release of SimPy 2.1.0beta. It is ready for download at https://sourceforge.net/projects/simpy/. It is published for community testing. SimPy 2.1.0 is a major new version, with a refactored code base, two powerful API additions, additional documentation and bug fixes. 2.1.0 is fully backward compatible with 2.0.1 and earlier versions. Do not use this release for production purposes yet, but help with testing it. Submit any bugs/comments/suggestions to the SimPy user mailing list (simpy-users(a)lists.sourceforge.net). What is SimPy? ~~~~~~~~~~~~~~ SimPy (= Simulation in Python) is a process-based discrete-event simulation package based on an implemented in standard Python. It is released under the GNU LGPL. It provides the modeller with components of a simulation model. These include processes, for active components like customers, messages, and vehicles, and resources, for passive components that form limited capacity congestion points like servers, checkout counters, and tunnels. It also provides monitor variables to aid in gathering statistics. SimPy has plotting and GUI capabilities "out of the box". It comes with extensive documentation, tutorials and a large number of example models. Dependencies ~~~~~~~~~~~~ SimPy 2.1.0 works with Python 2.3 and later versions. It does not work with Python 3.x. SimPy also works with Jython and IronPython, with the exception of SimPy's plotting and GUI capabilities. Change notes ============ Here are the changes to the previous SimPy release (2.0.1): Additions ~~~~~~~~~ - A function `step` has been added to the API. When called, it executes the next scheduled event. (`step` is actually a method of Simulation.) - Another new function is `peek`. It returns the time of the next event. By using `peek` and `step` together, one can easily write e.g. an interactive program to step through a simulation event by event. - A simple interactive debugger ``stepping.py`` has been added. It allows stepping through a simulation under user control, viewing the event list, skipping to a process' next event, etc.. - Versions of the Bank tutorials using the advanced object-oriented API have been added. - A new document describes tools for gaining insight into and debugging SimPy models. Changes ~~~~~~~ - Major re-structuring of SimPy code, resulting in much less SimPy code -- great for the maintainers. - Checks have been added which test whether entities belong to the same `Simulation` instance. - The `Monitor` and `Tally` methods `timeAverage` and `timeVariance` now calculate only with the observed time-series. - Changed class `Lister` so that circular references between objects no longer lead to stack overflow and crash. Bug repairs ~~~~~~~~~~~ - Functions ``allEventNotices`` and ``allEventTimes`` are working again. - Error messages for methods in SimPy.Lib work again. Acknowledgements =============== The great code refactoring was done by Ontje Lünsdorf, with key inputs from Stefan Scherfke. Thanks, guys! I also thank the other developers and users for their inputs and support in defining SimPy 2.1.0. Now, go ahead, download SimPy 2.1.0beta, and then test it. (Did you know that you can easily create an isolated Python environment with virtualenv { http://pypi.python.org/pypi/virtualenv }? Use that, and you don't have to overwrite your current SimPy installation for testing 2.1.0. Also good if you are new to SimPy and just want to try it out.) Klaus Müller

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Version 0.3.9 of the Python config module has been released.
by Vinay Sajip 11 May '10

11 May '10

Version 0.3.9 of the Python config module has been released. What Does It Do? ================ The config module allows you to implement a hierarchical configuration scheme with support for mappings and sequences, cross-references between one part of the configuration and another, the ability to flexibly access real Python objects, facilities for configurations to include and cross-reference one another, simple expression evaluation and the ability to change, save, cascade and merge configurations. You can easily integrate with command line options using optparse. This module has been developed on python 2.3 but should work on version 2.2 or greater. A test suite using unittest is included in the distribution. A very simple configuration file (simple.cfg): # starts here message: Hello, world! #ends here a very simple program to use it: from config import Config cfg = Config(file('simple.cfg')) print cfg.message results in: Hello, world! Configuration files are key-value pairs, but the values can be containers that contain further values. A simple example - with the example configuration file: messages: [ { stream : `sys.stderr` message: 'Welcome' name: 'Harry' } { stream : `sys.stdout` message: 'Welkom' name: 'Ruud' } { stream : $messages[0].stream message: 'Bienvenue' name: Yves } ] a program to read the configuration would be: from config import Config f = file('simple.cfg') cfg = Config(f) for m in cfg.messages: s = '%s, %s' % (m.message, m.name) try: print >> m.stream, s except IOError, e: print e which, when run, would yield the console output: Welcome, Harry Welkom, Ruud Bienvenue, Yves The above example just scratches the surface. There's more information about this module available at http://www.red-dove.com/config-doc/ Comprehensive API documentation is available at http://www.red-dove.com/config/index.html As always, your feedback is most welcome (especially bug reports, patches and suggestions for improvement). Enjoy! Cheers Vinay Sajip Red Dove Consultants Ltd. Changes since the last release posted on comp.lang.python[.announce]: ===================================================== Fix bug in parsing numbers with exponents (reported by Philip Søeberg).

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[ANN] pylint 0.21 / astng 0.20.1
by Sylvain Thénault 11 May '10

11 May '10

Hi there! I'm pleased to announce a new pylint / astng release. It provides several bug fixes, as well as command line enhancements: all options for messages / reports control have been merged into two generic --enable / --disable option. Also, pylint --help is much more concise, and longer version is available through the --long-help option. Notice that because of that, this release introduce backward incompatible changes in the command line, you may have to update your scripts. Last but not least, the gui has been revisited by students from the Toronto university, that should please windows users! More details about changes in packages'ChangeLog. What is pylint ? ---------------- Pylint is a python tool that checks if a module satisfy a coding standard. Pylint can be seen as another pychecker since nearly all tests you can do with pychecker can also be done with Pylint. But Pylint offers some more features, like checking line-code's length, checking if variable names are well-formed according to your coding standard, or checking if declared interfaces are truly implemented, and much more (see http://www.logilab.org/projects/pylint/ for the complete check list). The big advantage with Pylint is that it is highly configurable, customizable, and you can easily write a small plugin to add a personal feature. The usage it quite simple : $ pylint mypackage.mymodule This command will output all the errors and warnings related to the tested code (here : mypackage.mymodule), will dump a little summary at the end, and will give a mark to the tested code. Pylint is free software distributed under the GNU Public Licence. Home page --------- http://www.logilab.org/project/pylint http://www.logilab.org/project/logilab-astng Download -------- http://www.logilab.org/ftp/pub/pylint http://www.logilab.org/ftp/pub/logilab/astng Mailing list ------------ python-projects(a)logilab.org (moderated) Register, archive on http://lists.logilab.org/mailman/listinfo/python-projects Enjoy! -- Sylvain Thénault LOGILAB, Paris (France) Formations Python, Debian, Méth. Agiles: http://www.logilab.fr/formations Développement logiciel sur mesure: http://www.logilab.fr/services CubicWeb, the semantic web framework: http://www.cubicweb.org

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IMAPClient 0.6 released
by Menno Smits 11 May '10

11 May '10

Introduction ------------ IMAPClient aims to be a easy-to-use, Pythonic and complete IMAP client library with no dependencies outside the Python standard library. Features: * Arguments and return values are natural Python types. * IMAP server responses are fully parsed and readily usable. * IMAP unique message IDs (UIDs) are handled transparently. There is no need to call different methods to use UIDs. * Escaping for internationalised mailbox names is transparently handled. Unicode mailbox names may be passed as input wherever a folder name is accepted. * Time zones are transparently handled including when the server and client are in different zones. * Convenience methods are provided for commonly used functionality. * Exceptions are raised when errors occur. No need to check return values. IMAPClient is licensed under the new BSD license. Highlights for version 0.6 -------------------------- * Completely new response parsing code. Complex response items like BODYSTRUCTURE and ENVELOPE are now handled properly and interaction with the Gmail and MS Exchange IMAP implementations works correctly. * Support for the COPY command * Support for the XLIST extension (used by Gmail) * select_folder() now returns a parsed response containing all reported details about the selected folder. * The return value from list_folders(), list_sub_folders() and xlist_folders() now include the IMAP folder flags and folder delimiter. * Handling of internationalised folder names has been cleaned up. Folder names now are always returned as unicode strings. * Many bug fixes. Further Details --------------- Web site: http://imapclient.freshfoo.com/ NEWS: http://imapclient.freshfoo.com/browser/NEWS PyPI entry: http://pypi.python.org/pypi/IMAPClient/0.6

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virtualenvwrapper for Windows (Powershell)
by guillermooo 10 May '10

10 May '10

Hi, If you've ever missed it on Windows and you can use Powershell, you might want to take a look at this port of virtualenvwrapper: http://bitbucket.org/guillermooo/virtualenvwrapper/wiki/Home It's a work in progress, but is should be fairly functional already. It requires Powershell v2. Regards, Guillermo

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ANN: SfePy 2010.2 released
by Robert Cimrman 10 May '10

10 May '10

I am pleased to announce release 2010.2 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method. The code is based on NumPy and SciPy packages. It is distributed under the new BSD license. Mailing lists, issue tracking, git repository: http://sfepy.org Home page: http://sfepy.kme.zcu.cz Documentation: http://docs.sfepy.org/doc Highlights of this release -------------------------- - significantly updated documentation - new wiki pages: - SfePy Primer [1] - How to use Salome for generating meshes [2] [1] http://code.google.com/p/sfepy/wiki/Primer [2] http://code.google.com/p/sfepy/wiki/ExampleUsingSalomeWithSfePy Major improvements ------------------ Apart from many bug-fixes, let us mention: - new mesh readers (MED (Salome, PythonOCC), Gambit NEU, UserMeshIO) - mechanics: - ElasticConstants class - conversion formulas for elastic constants - StressTransform class to convert various stress tensors - basic tensor transformations - new examples: - usage of functions to define various parameter - usage of probes - new tests and many new terms For more information on this release, see http://sfepy.googlecode.com/svn/web/releases/2010.2_RELEASE_NOTES.txt (full release notes, rather long). Best regards, Robert Cimrman and Contributors (*) (*) Contributors to this release (alphabetical order): Vladimír Lukeš, Andre Smit, Logan Sorenson, Zuzana Záhorová

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