Python-announce-list February 2010

python-announce-list@python.org

57 participants
66 discussions

ANN: A forum and project gallery for Python game development
by George Oliver 25 Feb '10

25 Feb '10

Pyed Pypers is a community where you can upload your game project, comment on other projects, build teams, ask for technical help, and discuss everything about game development with Python. If this catches your interest, check it out at http://www.pyedpypers.org.

1 0

A tool for finding dependencies relationships diagram of Python projects
by Victor Lin 25 Feb '10

25 Feb '10

Hi, I just wrote a tool for finding and drawing dependencies relationships diagram of Python project on Pypi. Here is the home page of the tool: http://code.google.com/p/python-gluttony/ The gallery: http://code.google.com/p/python-gluttony/wiki/Gallery The most impressive dependency diagram: Plone http://python-gluttony.googlecode.com/files/plone.png This tool provides a view of dependency at the package level. Hope this could be helpful :P Regards. Victor Lin.

1 0

new SOAP mailing list on python.org
by Brad Allen 25 Feb '10

25 Feb '10

There is a new general SOAP-related mailing list on python.org: http://mail.python.org/mailman/listinfo/soap The goal of the list is to gather all discussions related to SOAP libraries and tools on Python, so that could include soaplib, SOAPpy, suds, IronPython using .NET SOAP libraries, using Java SOAP libraries from Jython, etc. Hopefully this will allow greater collaboration across different Python SOAP library developers and users, and possibly enable consolidation where appropriate. If you work with Python and SOAP, please join the list and let me know if you have any problems using the list.

1 0

ANN: esky v0.4.0
by Ryan Kelly 25 Feb '10

25 Feb '10

Hi All, Reposting from python-list - sorry to those who receive this twice. I'm pleased to announce the latest release of esky, an auto-update framework for frozen python apps. Details below for those who are interested. Cheers, Ryan ------------------------------- esky: keep frozen apps fresh Esky is an auto-update framework for frozen Python applications. It provides a simple API through which apps can find, fetch and install updates, and a bootstrapping mechanism that keeps the app safe in the face of failed or partial updates. Esky is currently capable of freezing apps with bbfreeze, cxfreeze and py2exe. Support for py2app is in the works. The latest version is v0.4.0, with the following major changes: * added support for freezing with cx_Freeze. * improved support for freezing with py2exe. * added ability to set the icon on each executable (if the chosen freezer module supports it) * made Esky.cleanup() catch and ignore common errors. * added support for Python 3 (via distribute's "use_2to3" flag) * added a brief tutorial and example application * some backwards-incompatible API changes (see ChangeLog for details) Downloads: http://pypi.python.org/pypi/esky/0.4.0/ Code, bugs, etc: http://github.com/rfk/esky/ Tutorial: http://github.com/rfk/esky/tree/master/tutorial/ -- Ryan Kelly http://www.rfk.id.au | This message is digitally signed. Please visit ryan(a)rfk.id.au | http://www.rfk.id.au/ramblings/gpg/ for details

1 0

ANN: Pyrex 0.9.8.6
by Greg Ewing 24 Feb '10

24 Feb '10

Pyrex 0.9.8.6 is now available: http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/ Numerous bug fixes and a few improvements. See the CHANGES page on the web site for details. What is Pyrex? -------------- Pyrex is a language for writing Python extension modules. It lets you freely mix operations on Python and C data, with all Python reference counting and error checking handled automatically.

1 0

Introduction to Python with @dabeaz, March 16-18, 2010 in Chicago
by David Beazley 24 Feb '10

24 Feb '10

* * Introduction to Python Programming * * with David Beazley, author "Python Essential Reference" March 16-18, 2010 Chicago, Illinois http://www.dabeaz.com/chicago Join Python book author and developer David Beazley for an intense no-bull course aimed at applying Python to practical problems. Topics are aimed at tasks that you face on a day-to-day basis. For example, analyzing data files, encoding/decoding various file formats, accessing databases, scraping web pages, automating system tasks, integrating Python with legacy software, and more. Even if you already know some Python, you will walk away from this course with new insight and ideas. This is the same course that Dave regularly teaches on-site for government and corporate clients. The course features a 300 page guidebook, more than 50 hands on exercises, a copy of the "Python Essential Reference", lunch, snacks, and more. Unlike a typical training course, this class is held at Dave's Chicago office and is strictly limited to 6 students--a size that facilitates interaction and ensures that your questions will be answered. You will not be disappointed. More details can be found at http://www.dabeaz.com/chicago/index.html Hopefully I'll see you in Chicago! Cheers, Dave

1 0

[ANN] HDF5 for Python 1.3 beta
by Andrew Collette 23 Feb '10

23 Feb '10

HDF5 for Python (h5py) 1.3.0 BETA ================================= I'm pleased to announce that HDF5 for Python 1.3 is now available! This is a significant release introducing a number of new features, including support for soft/external links as well as object and region references. I encourage all interested HDF5/NumPy/Python users to give the beta a try and to do your best to break it. :) Download, documentation and contact links are below. What is h5py? ------------- HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a mature scientific software library originally developed at NCSA, designed for the fast, flexible storage of enormous amounts of data. >From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accesed using the tradional POSIX /path/to/resource syntax. In addition to providing interoperability with existing HDF5 datasets and platforms, h5py is a convienient way to store and retrieve arbitrary NumPy data and metadata. HDF5 datasets and groups are presented as "array-like" and "dictionary-like" objects in order to make best use of existing experience. For example, dataset I/O is done with NumPy-style slicing, and group access is via indexing with string keys. Standard Python exceptions (KeyError, etc) are raised in response to underlying HDF5 errors. New features in 1.3 ------------------- - Full support for soft and external links - Full support for object and region references, in all contexts (datasets, attributes, etc). Region references can be created using the standard NumPy slicing syntax. - A new get() method for HDF5 groups, which also allows the type of an object or link to be queried without first opening it. - Improved locking system which makes h5py faster in both multi-threaded and single-threaded applications. - Automatic creation of missing intermediate groups (HDF5 1.8) - Anonymous group and dataset creation (HDF5 1.8) - Option to enable cProfile support for the parts of h5py written in Cython - Many bug fixes and performance enhancements Other changes ------------- - Old-style dictionary methods (listobjects, etc) will now issue DeprecationWarning, and will be removed in 1.4. - Dataset .value attribute is deprecated. Use dataset[...] or dataset[()]. - new_vlen(), get_vlen(), new_enum() and get_enum() are deprecated in favor of the functions h5py.special_dtype() and h5py.check_dtype(), which also support reference types. Where to get it --------------- * Main website, documentation: http://h5py.alfven.org * Downloads, bug tracker: http://h5py.googlecode.com * Mailing list (discussion and development): h5py at googlegroups.com * Contact email: h5py at alfven.org Requires -------- * Linux, Mac OS-X or Windows * Python 2.5 or 2.6 * NumPy 1.0.3 or later * HDF5 1.6.5 or later (including 1.8); HDF5 is included with the Windows version.

1 0

ANN: yappi v0.4 beta released
by Sumer Cip 23 Feb '10

23 Feb '10

Changes: - Some mem corruption problems on various platforms are fixed. - installation related problems fixed. Download: http://code.google.com/p/yappi/ - Sumer Cip twitter.com/sumercip

1 0

ANN: Leo 4.7 final released
by Edward K Ream 23 Feb '10

23 Feb '10

Leo 4.7 final is now available at: http://sourceforge.net/project/showfiles.php?group_id=3458&package_id=29106 Leo 4.7 final fixes all known bugs in Leo. Leo is a text editor, data organizer, project manager and much more. See: http://webpages.charter.net/edreamleo/intro.html The highlights of Leo 4.7: -------------------------- - Leo now uses the simplest possible internal data model. This is the so-called "one-node" world. - Leo supports Python 3.x. - Leo requires Python 2.6 or above. - Several important improvements in file handling. - Leo converts @file nodes to @thin nodes automatically. - Leo creates a 'Recovered Nodes' node to hold data that otherwise might be lost due to clone conflicts. - @auto-rst now works much more reliably reliably. - Leo no longer supports @noref trees. Such trees are not reliable in cooperative environments. - A new Windows installer. - Many other features, including new command line options and new plugins. - Dozens 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

1 0

ANN: posix_ipc 0.7.0 available
by Philip Semanchuk 22 Feb '10

22 Feb '10

posix_ipc 0.7.0 is now available. This is the first version to include Python 3 support. http://semanchuk.com/philip/posix_ipc/ Enjoy Philip

1 0

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

Python-announce-list February 2010