Mailman 3 September 2009 - Python-announce-list

Jython 2.5.1 Release Candidate 2 is out!
by Frank Wierzbicki 13 Sep '09

13 Sep '09

On behalf of the Jython development team, I'm pleased to announce that Jython 2.5.1rc2 is available for download: https://sourceforge.net/projects/jython/files/jython-dev/2.5.1rc2/jython_in… - See http://wiki.python.org/jython/InstallationInstructions for installation instructions. Jython 2.5.1rc2 fixes bugs that we found when testing rc1, including some db, codec, and locking issues. Please see the NEWS file for detailed release notes. Please report any bugs you find here: http://bugs.jython.org -- Thanks! -Frank Wierzbicki

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sqlkit - 0.8.6
by sandro 12 Sep '09

12 Sep '09

ANNOUNCE: sqlkit 0.8.6 September, 12 - 2009 I'm happy to announce release 0.8.6 of sqlkit package for python. http://sqlkit.argolinux.org/ This release ------------ This is the first stable release. It features a new interface for the standalone command (sqledit), many improvements and functions added. We have used pyinstaller to create standalone executable for Linux and Mac, you can download them to use the application and to run the demo. It's now registered in pypi so you can 'easy_install' it. I'm currently looking for a debian sponsor to upload the package in sqeeze. A new tutorial is available here: http://sqlkit.argolinux.org/sqlkit/tutorial.html Refer to http://sqlkit.argolinux.org/download/Changelog for details The package ----------- SQLkit PyGtk package provides Mask and Table widgets to edit database data. It's meant as a base for database desktop applications. The application --------------- It also provides 'sqledit' a PyGTK application based on sqlkit that can be used from command line to browse and edit data. The package has 2 very rich demo suites for sql widgets (the main one in sqlkit/demo/sql/demo.py) and for layout creation Translations ------------ If you like sqlkit and want to help translating, you may find the project on: https://launchpad.net/sqlkit Main features of sqlkit: ------------------------ * editor of databases in 2 modes: table & mask * based on sqlalchemy: can cope with many different databases * very powerfull filtering capabilities: - each field can be used to filter records - filter may span relationship - date filtering possible also on relative basis (good for saved queries) * completion on all text field and foreign keys * very easy way to draw a layout for mask views * completely effortless editing of relationships * very easy way to set defaults * possibility to display totals of numeric fields * any possible sql constraint can be attached to a Mask or a Table. It can be expressed a s a normal sqlalchemy query or with django-like syntax * sqledit: python script to edit db Sqlkit is based on: ------------------- * python (>= 2.4 - but developed on 2.5) * PyGtk * Sqlalchemy (>= 0.5) * glade * python-dateutil * babel (localization) * you db driver of choice Dowload & more: --------------- * Download: http://sqlkit.argolinux.org/sqlkit/download.html easy_install sqlkit * Source: hg clone http://hg.argolinux.org/py/sqlkit * Google Group: http://groups.google.it/group/sqlkit/ * Translation: https://launchpad.net/sqlkit * Tutorial: http://sqlkit.argolinux.org/sqlkit/tutorial.html * Changelog: http://sqlkit.argolinux.org/download/Changelog * License: GNU GPL

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Scientific Computing with Python, September 18, 2009
by Amenity Applewhite 11 Sep '09

11 Sep '09

(HTML version of email) Greetings! September is well upon us and it looks like it's already time for another Scientific Computing with Python webinar. Next week, Travis Oliphant will be hosting a presentation on regression analysis in NumPy and SciPy. As you are probably aware, Travis was the primary developer of NumPy, so we're fortunate to have him presenting these tools. Here's a word on what to expect Friday: A common scientific and engineering need is to find the parameters to a model that best fit a particular data set. A large number of techniques and tools have been created for assisting with this general problem. They vary based on the model (e.g. linear or nonlinear), the characteristics of the errors on the data (e.g. weighted or un- weighted), and the error metric selected (e.g. least-squares, or absolute difference). This webinar will provide an overview of the tools that SciPy and NumPy provide for regression analysis including linear and non-linear least-squares and a brief look at handling other error metrics. We will also demonstrate simple GUI tools that can make some problems easier and provide a quick overview of the new Scikits package statsmodels whose API is maturing in a separate package but should be incorporated into SciPy in the future. Here's the registration information: Scientific Computing with Python Webinar: Regression analysis in NumPy Friday, September 18 1pm CDT/6pm UTC Register at GoToMeeting: https://www1.gotomeeting.com/register/632400424 Forward email http://ui.constantcontact.com/sa/fwtf.jsp?m=1102424111856&ea=leah%40enthoug… Hope to see you there! -- Amenity Applewhite Enthought, Inc. Scientific Computing Solutions www.enthought.com

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Pygments 1.1 "Brillouin" released
by Georg Brandl 11 Sep '09

11 Sep '09

I've just uploaded the Pygments 1.1 packages to CheeseShop. Pygments is a generic syntax highlighter written in Python. Download it from <http://pypi.python.org/pypi/Pygments>, or look at the demonstration at <http://pygments.org/demo>. Many thanks go to Tim Hatch for writing or integrating many of the bug fixes and new features in this release. Of course, thanks to all other contributors too! Short changelog: - Ported Pygments to Python 3; use "python3 setup.py build" and "python3 setup.py install" as usual with the source distribution. - Lexers added: Antlr/Ragel, (Ba)sh shell, Erlang shell, GLSL, Prolog, Evoque, Modelica, Rebol, MXML, Cython, ABAP, ASP.net (VB/C#), Vala, Newspeak. - Fixed the LaTeX formatter's output so that output generated for one style can be used with the style definitions of another (#384). - Added "anchorlinenos" and "noclobber_cssfile" (#396) options to HTML formatter. - Fixed lots of major and minor bugs in many lexers. - Added new-style reStructuredText directive for docutils 0.5+ (#428). Enjoy, Georg

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ANN: warehouse Objects in SQLite : y_serial module
by code43 11 Sep '09

11 Sep '09

Module download at SourceForge http://yserial.sourceforge.net Serialization + persistance :: in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data. The module is instructive in the way it unifies the standard batteries: sqlite3 (as of Python v2.5), zlib (for compression), and cPickle (for serializing objects). If your Python program requires data persistance, then y_serial is a module which should be worth importing. All objects are warehoused in a single database file in the most compressed form possible. Tables are used to differentiate projects. Steps for insertion, organization by annotation, and finally retrieval are amazingly simple... y_serial.py module :: warehouse Python objects with SQLite http://yserial.sourceforge.net

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ANN: dh, the daemon helper 2009-09-04
by John Kelly 10 Sep '09

10 Sep '09

dh, the daemon helper The daemon helper starts any program or script as a daemon. It's a small C program with a simple interface and a liberal license. ftp://ftp.isp2dial.com/users/jak/src/dh/ Get the files and do: make install clean To build and install dh. Don't try to run the Sh.install script directly, it must be invoked using the Makefile. I use dh for starting scripts which read fifos fed by syslog. They block on read until syslog provides data to work on. They never end, and need help to start as "daemons." But that's just one example. There are many other potential uses for the daemon helper. dh is its name; a natural companion to sh. I use dh on Linux, but was curious about portability. With some minor changes, I compiled and installed it on NetBSD 5.0.1 x86. So now it's portable. Wheee! It's a cool tool, it reports problems encountered when trying to exec the target daemon program or script. Debian's start-stop-deamon can't do that, nor can any other daemon tool I know of. It's minimal, with only one command line option, -p. Avoiding unneeded bells and whistles was my intentional design. In six months time, I could lose interest in computers, start a new career, and the work would be lost forever. Someone who likes C more than I do should adopt dh and help it grow. But if you do, don't believe what Stevens wrote about ignoring SIGHUP before the second fork(). It's not true, so don't write voodoo code to handle it! See the thread in c.u.p with the subject "Orphaned process groups, daemon startup, SIGHUP." If you can't adopt dh, but have ideas for patches, send them. But if I don't respond, well then, you're on your own. There is no man page for dh, but the README explains how to use it. If there is enough interest, maybe someday I will give dh an official version number and use some version control. But for now, the date of last modification is all there is. -- Webmail for Dialup Users http://www.isp2dial.com/freeaccounts.html

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ANN: Leo 4.7 beta 1 released
by Edward K Ream 09 Sep '09

09 Sep '09

Leo 4.7 beta 1 is now available at: http://sourceforge.net/project/showfiles.php?group_id=3458&package_id=29106 Leo is a text editor, data organizer, project manager and much more. See: http://webpages.charter.net/edreamleo/intro.html This version of Leo is labeled a beta version because it contains some new, relatively untested plugins. However, Leo's core should be quite reliable. In particular, Leo 4.7 beta 1 fixes a bug that caused Leo 4.6 releases to crash if .leoID.txt did not exist. Usually this file does exist, but Leo will prompt for the contents of this file (a user id) the very first time somebody uses Leo. Alas, an unfortunate reversion of code caused Leo to crash. Not exactly the best introduction to Leo! The highlights of Leo 4.7: -------------------------- - A major simplification of internal data model: the so-called one-node world. Note: this is **disabled** in the beta 1 release. - A new executable Windows installer, whose manifest is created from the files that bzr actively manages. - Leo no longer adds directories to sys.path on startup. - New plugins. - The usual assortment of bug fixes. Links: ------ Leo: http://webpages.charter.net/edreamleo/front.html Forum: http://groups.google.com/group/leo-editor Download: http://sourceforge.net/project/showfiles.php?group_id=3458 Bzr: http://code.launchpad.net/leo-editor/ Quotes: http://webpages.charter.net/edreamleo/testimonials.html -------------------------------------------------------------------- Edward K. Ream email: edreamleo(a)yahoo.com Leo: http://webpages.charter.net/edreamleo/front.html --------------------------------------------------------------------

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[ANN] Chicago Python User Group ChiPy September Meeting
by Brian Ray 09 Sep '09

09 Sep '09

Chicago Python User Group ========================= History, Tradition, Technology and Journalism meet this Thursday at one of our nations most historical landmarks, Tribune Tower--right off the Chicago River on the Magnificent Mile. This *new* venue speaks to the movement of journalism into technology and technology into Python. So, this will be one of most interesting venues and will provide a solid platform for the best user group meeting in the history of newspapers. We may even channel DjangoCon going on at the same time on the West coast. Bring a friend. This will is going to be great! RSVP Right NOW to: brian (at) hackerjournalist.net if you even think you might make it. Topics ------ * (30 min) Somewhat Advanced SQLAlchemy - Daniel Griffin * (30 min) Python port of Geo::StreetAddress::US library - Joe Germuska * (30 min) "Not using AMQP to super charge your Django apps!" -- Garrett Smith * (15 min) "Hello, and Beyond" -- Clyde Forrester When ---- Thursday, September 10th, ~7pm Location -------- Tribune Tower, 435 N. Michigan Ave. RSVP to brian (at) hackerjournalist.net Other Meetings -------------- (before) Kinzie Chop House (some plan to gather around 4:30) (after) Billy Goat is obvious (and with merit) OR CND Gyros & Lounge About ChiPy ----------- ChiPy is a group of Chicago Python Programmers, l33t, and n00bs. Meetings are held monthly at various locations around Chicago. Also, ChiPy is a proud sponsor of many Open Source and Educational efforts in Chicago. Stay tuned to the mailing list for more info. ChiPy website: <http://chipy.org> ChiPy Mailing List: <http://mail.python.org/mailman/listinfo/chicago> ChiPy Announcement *ONLY* Mailing List: <http://mail.python.org/mailman/listinfo/chipy-announce > Python website: <http://python.org>

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Distribute 0.6.1 released
by Tarek Ziadé 09 Sep '09

09 Sep '09

Hello I am happy to announce the release of Distribute 0.6.1. - What is Distribute ? Distribute is a friendly fork of the Setuptools project. More info at http://pypi.python.org/pypi/distribute and http://bitbucket.org/tarek/distribute/wiki/ - Changes: * zip_ok is now True by default. * package_index.urlopen now catches BadStatusLine and malformed url errors. * Fixed invalid URL error catching. * Fixed invalid bootstraping with easy_install installation. Thanks to Florian Shchulze for the help * Removed buildout/bootstrap.py. A new repository at bitbucket.org will create a specific bootstrap.py script. * The bootstrap process leave setuptools alone if detected in the system and --root, --user or --prefix is provided, but is not in the same location. The next release of the 0.6 series will try to adress all remaining bugs in the tracker, The first 0.7 release, which targets Python 3, is still under heavy work. Cheers Tarek -- Tarek Ziadé | http://ziade.org | オープンソースの岩！

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Parallelization in Python at the Regular Toronto and Area Python User's Group September 15th
by Mike C. Fletcher 08 Sep '09

08 Sep '09

We'll be having our regular Toronto Area Python User's group meeting at Linux Caffe on Tuesday the 15th of September at 7:05pm. Parallelization in Python: Code Samples, Experiences and Advocacy Unlike functional languages (Haskel, Erlang), where parallelization is "baked into" the language, Python programmers often have to do a bit of work to get their code to run in parallel. We have a huge number of libraries that allow you to run your code concurrently, so this month we're going to collect code samples and descriptions of how you go about making your code run in parallel, and when each approach is appropriate. So, to participate, spelunk through your codebases and try to find a few examples of parallel programming, whether it be threads, multiprocessing, database-based concurrency, file-base concurrency, grid systems, GPGPU code, continuations, green-threads, MPI, RPC, Twisted, asyncore, raw sockets/pipes or any of the dozens of other approaches. If possible, have a piece of code that shows "how it works in practice" and maybe consider how to answer these questions: * How does it (the mechanism of parallelization) work (loosely)? * What benefits does it give you? * What problems does it introduce? * How does it scale (up/down)? * What level of granularity makes sense for it? * How does it handle communication between code? * How parallel can you get effectively? (10s of nodes? 10s of thousands? millions?) * Does it handle contention/locking/conflicts? * How stable/reliable is it? We'll try to keep the discussion lively and interesting. Venue details, maps and the like on the web-site: http://www.pygta.org We'll also likely have a discussion about putting together a series of 1/2 or 1-day classes (in a more formal classroom-like setting) for new Python users. Have fun all, Mike -- ________________________________________________ Mike C. Fletcher Designer, VR Plumber, Coder http://www.vrplumber.com http://blog.vrplumber.com

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