Python-announce-list February 2011

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37 participants
49 discussions

[ANNOUNCE] PyGObject 2.27.91 (second 2.28 pre-release)
by John Palmieri 28 Feb '11

28 Feb '11

I am pleased to announce version 2.27.91 of the Python bindings for GObject. We found some major blockers from the last release so this is a second pre-release for the upcoming 2.28.0 stable release. There is currently one more crasher bug on the blocker list. Once that is fixed and if there are no more blockers we will be releasing the stable version. Fixes in this release include the following: * ignore ginterfaces when doing method resolutions to avoid diamond inheritance issues * Fix union inheritance issues for Gdk.Event (e.g. Gdk.EventButton structure can be passed to interfaces which expect a Gdk.Event) * Override all Gdk.Event union members to export Gdk.Event methods * Leak instead of crashing if marshalling a C array and an error occurs - future releases will fix the leak * When setting rows in a TreeModel you can now pass None to indicate you wish to ignore a column * Fix setting types not represented in Python such as GObject.TYPE_UINT, when setting a TreeModel column * Flag and enum behaviour fixes * Typelibs now loaded at import time instead of lazy loading to fix name resolution issues from factories which return objects where the typelib is not yet loaded (e.g. GStreamer plugins) - this requires that application authors call the gi.require_version API BEFORE importing a module from gi.repository if they wish to specify a typelib version (e.g. gi.require_verison('Gtk', '3.0')) * don't load the gi module when using the static bindings * Gtk.Menu.popup fixed * Gtk.Cursor now API equivalent to PyGtk * Signal callbacks now convert foreign types (e.g. you get a PyCairo compatible context object in a 'draw' signal callback) * Gdk.Rectangle aliases cairo.RectangleInt correctly * fix the demos in gtk-demo.py * For a complete list of changes please read the NEWS file The new release is available from ftp.gnome.org and its mirrors: http://download.gnome.org/sources/pygobject/2.27/ Blurb: GObject is a object system library used by GTK+ and GStreamer. PyGObject provides a convenient wrapper for the GObject library for use in Python programs, and takes care of many of the boring details such as managing memory and type casting. When combined with PyGTK, PyORBit and gnome-python, it can be used to write full featured GNOME 2.0 applications. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject requires glib >= 2.22.4 and Python >= 2.5.1 to build. GIO bindings require glib >= 2.22.4. The Introspection module is the next generation Python GObject library bindings. Instead of statically wrapping every GObject based library we can now dynamically accesses any of those libraries using GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for an intermediate Python module. Introspection/Python 2 bindings requires gobject-introspection >= 0.9.5 and pycairo >=1.0.2 or py2cairo >=1.8.10 Introspection/Python 3 bindings requires gobject-introspection >= 0.9.5, pycairo >=1.8.10 and Python >= 3.1 -- John (J5) Palmieri Software Engineer Red Hat, Inc.

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ANN: SciPy 0.9.0
by Ralf Gommers 27 Feb '11

27 Feb '11

I'm pleased to announce the release of SciPy 0.9.0. SciPy is a package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. This release comes seven months after the 0.8.0 release and contains several new features, numerous bug-fixes, improved test coverage, and better documentation. This is the first release that supports Python 3 (with the exception of the scipy.weave module). Sources, binaries, documentation and release notes can be found at http://sourceforge.net/projects/scipy/files/scipy/0.9.0/ Thank you to everybody who contributed to this release. Enjoy, The SciPy developers ========================= SciPy 0.9.0 Release Notes ========================= .. contents:: SciPy 0.9.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Moreover, our development attention will now shift to bug-fix releases on the 0.9.x branch, and on adding new features on the development trunk. This release requires Python 2.4 - 2.7 or 3.1 - and NumPy 1.5 or greater. Please note that SciPy is still considered to have "Beta" status, as we work toward a SciPy 1.0.0 release. The 1.0.0 release will mark a major milestone in the development of SciPy, after which changing the package structure or API will be much more difficult. Whilst these pre-1.0 releases are considered to have "Beta" status, we are committed to making them as bug-free as possible. However, until the 1.0 release, we are aggressively reviewing and refining the functionality, organization, and interface. This is being done in an effort to make the package as coherent, intuitive, and useful as possible. To achieve this, we need help from the community of users. Specifically, we need feedback regarding all aspects of the project - everything - from which algorithms we implement, to details about our function's call signatures. Python 3 ======== Scipy 0.9.0 is the first SciPy release to support Python 3. The only module that is not yet ported is ``scipy.weave``. Scipy source code location to be changed ======================================== Soon after this release, Scipy will stop using SVN as the version control system, and move to Git. The development source code for Scipy can from then on be found at http://github.com/scipy/scipy New features ============ Delaunay tesselations (``scipy.spatial``) ----------------------------------------- Scipy now includes routines for computing Delaunay tesselations in N dimensions, powered by the Qhull_ computational geometry library. Such calculations can now make use of the new ``scipy.spatial.Delaunay`` interface. .. _Qhull: http://www.qhull.org/ N-dimensional interpolation (``scipy.interpolate``) --------------------------------------------------- Support for scattered data interpolation is now significantly improved. This version includes a ``scipy.interpolate.griddata`` function that can perform linear and nearest-neighbour interpolation for N-dimensional scattered data, in addition to cubic spline (C1-smooth) interpolation in 2D and 1D. An object-oriented interface to each interpolator type is also available. Nonlinear equation solvers (``scipy.optimize``) ----------------------------------------------- Scipy includes new routines for large-scale nonlinear equation solving in ``scipy.optimize``. The following methods are implemented: * Newton-Krylov (``scipy.optimize.newton_krylov``) * (Generalized) secant methods: - Limited-memory Broyden methods (``scipy.optimize.broyden1``, ``scipy.optimize.broyden2``) - Anderson method (``scipy.optimize.anderson``) * Simple iterations (``scipy.optimize.diagbroyden``, ``scipy.optimize.excitingmixing``, ``scipy.optimize.linearmixing``) The ``scipy.optimize.nonlin`` module was completely rewritten, and some of the functions were deprecated (see above). New linear algebra routines (``scipy.linalg``) ---------------------------------------------- Scipy now contains routines for effectively solving triangular equation systems (``scipy.linalg.solve_triangular``). Improved FIR filter design functions (``scipy.signal``) ------------------------------------------------------- The function ``scipy.signal.firwin`` was enhanced to allow the design of highpass, bandpass, bandstop and multi-band FIR filters. The function ``scipy.signal.firwin2`` was added. This function uses the window method to create a linear phase FIR filter with an arbitrary frequency response. The functions ``scipy.signal.kaiser_atten`` and ``scipy.signal.kaiser_beta`` were added. Improved statistical tests (``scipy.stats``) -------------------------------------------- A new function ``scipy.stats.fisher_exact`` was added, that provides Fisher's exact test for 2x2 contingency tables. The function ``scipy.stats.kendalltau`` was rewritten to make it much faster (O(n log(n)) vs O(n^2)). Deprecated features =================== Obsolete nonlinear solvers (in ``scipy.optimize``) -------------------------------------------------- The following nonlinear solvers from ``scipy.optimize`` are deprecated: - ``broyden_modified`` (bad performance) - ``broyden1_modified`` (bad performance) - ``broyden_generalized`` (equivalent to ``anderson``) - ``anderson2`` (equivalent to ``anderson``) - ``broyden3`` (obsoleted by new limited-memory broyden methods) - ``vackar`` (renamed to ``diagbroyden``) Removed features ================ The deprecated modules ``helpmod``, ``pexec`` and ``ppimport`` were removed from ``scipy.misc``. The ``output_type`` keyword in many ``scipy.ndimage`` interpolation functions has been removed. The ``econ`` keyword in ``scipy.linalg.qr`` has been removed. The same functionality is still available by specifying ``mode='economic'``. Old correlate/convolve behavior (in ``scipy.signal``) ----------------------------------------------------- The old behavior for ``scipy.signal.convolve``, ``scipy.signal.convolve2d``, ``scipy.signal.correlate`` and ``scipy.signal.correlate2d`` was deprecated in 0.8.0 and has now been removed. Convolve and correlate used to swap their arguments if the second argument has dimensions larger than the first one, and the mode was relative to the input with the largest dimension. The current behavior is to never swap the inputs, which is what most people expect, and is how correlation is usually defined. ``scipy.stats`` --------------- Many functions in ``scipy.stats`` that are either available from numpy or have been superseded, and have been deprecated since version 0.7, have been removed: `std`, `var`, `mean`, `median`, `cov`, `corrcoef`, `z`, `zs`, `stderr`, `samplestd`, `samplevar`, `pdfapprox`, `pdf_moments` and `erfc`. These changes are mirrored in ``scipy.stats.mstats``. ``scipy.sparse`` ---------------- Several methods of the sparse matrix classes in ``scipy.sparse`` which had been deprecated since version 0.7 were removed: `save`, `rowcol`, `getdata`, `listprint`, `ensure_sorted_indices`, `matvec`, `matmat` and `rmatvec`. The functions ``spkron``, ``speye``, ``spidentity``, ``lil_eye`` and ``lil_diags`` were removed from ``scipy.sparse``. The first three functions are still available as ``scipy.sparse.kron``, ``scipy.sparse.eye`` and ``scipy.sparse.identity``. The `dims` and `nzmax` keywords were removed from the sparse matrix constructor. The `colind` and `rowind` attributes were removed from CSR and CSC matrices respectively. ``scipy.sparse.linalg.arpack.speigs`` ------------------------------------- A duplicated interface to the ARPACK library was removed. Other changes ============= ARPACK interface changes ------------------------ The interface to the ARPACK eigenvalue routines in ``scipy.sparse.linalg`` was changed for more robustness. The eigenvalue and SVD routines now raise ``ArpackNoConvergence`` if the eigenvalue iteration fails to converge. If partially converged results are desired, they can be accessed as follows:: import numpy as np from scipy.sparse.linalg import eigs, ArpackNoConvergence m = np.random.randn(30, 30) try: w, v = eigs(m, 6) except ArpackNoConvergence, err: partially_converged_w = err.eigenvalues partially_converged_v = err.eigenvectors Several bugs were also fixed. The routines were moreover renamed as follows: - eigen --> eigs - eigen_symmetric --> eigsh - svd --> svds

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[ANN]: circuits-1.5 (Lightweight Event driven Asynchronous Application Framework)
by James Mills 26 Feb '11

26 Feb '11

Hi, I'm pleased to announce the release of circuits-1.5 This release brings to circuits.web a new dispatcher: WebSockets This allows you to build a web application and process WebSocket connections in the same process/thread. (See the test) This release also includes a number of minor bug fixes and greater test coverage. For more information see the PyPi page: http://pypi.python.org/pypi/circuits/1.5 cheers James -- -- James Mills -- -- "Problems are solved by method"

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planar 0.3 released
by Casey Duncan 26 Feb '11

26 Feb '11

I'm happy to announce the release of the planar 0.3 2D geometry library for Python. The project, although still under development, already has quite a few useful features. The focus of the library is to provide a clean, simple, documented 2D geometry api, with high performance implementations in both Python and C, available under a liberal license. You can check out the docs and grab it from pypi here: http://pypi.python.org/pypi/planar/0.3 Enjoy. -Casey

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ANN: Intro+Intermediate Python course, SF, May 24-26
by wesley chun 25 Feb '11

25 Feb '11

Need to get up-to-speed with Python as quickly and as in-depth as possible? Already coding Python but still have areas of uncertainty you need to fill? Then come join me, Wesley Chun, author of Prentice-Hall's bestseller "Core Python" for a comprehensive intro/intermediate course coming up this May in Northern California, then enjoy the Memorial Day weekend afterwards in San Francisco, the beautiful city by the bay. Please pass on this note to whomever you think may be interested. I look forward to meeting you and your colleagues! feel free to pass around the PDF flyer linked down below. (Comprehensive) Introduction to Python Tue-Thu, 2010 May 24-26, 9am-5pm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - (COMPREHENSIVE) INTRO+INTERMEDIATE PYTHON Although this course may appear to those new to Python, it is also perfect for those who have tinkered with it and want to "fill in the gaps" and/or want to get more in-depth formal training. It combines the best of both an introduction to the language as well as a "Python Internals" training course. We will immerse you in the world of Python in only a few days, showing you more than just its syntax (which you don't really need a book to learn, right?). Knowing more about how Python works under the covers, including the relationship between data objects and memory management, will make you a much more effective Python programmer coming out of the gate. 3 hands-on labs each day will help hammer the concepts home. Come find out why Google, Yahoo!, Disney, ILM/LucasFilm, VMware, NASA, Ubuntu, YouTube, and Red Hat all use Python. Users supporting or jumping to Plone, Zope, TurboGears, Pylons, Django, Google App Engine, Jython, IronPython, and Mailman will also benefit! PREVIEW 1: you will find (and can download) a video clip of a class session recorded live to get an idea of my lecture style and the interactive classroom environment (as well as sign-up) at: http://cyberwebconsulting.com PREVIEW 2: Partnering with O'Reilly and Pearson, Safari Books Online has asked me to deliver a 1-hour webcast a couple of years ago called "What is Python?". This was an online seminar based on a session that I've delivered at numerous conferences in the past. It will give you an idea of lecture style as well as an overview of the material covered in the course. info:http://www.safaribooksonline.com/events/WhatIsPython.html download (reg req'd): http://www.safaribooksonline.com/Corporate/DownloadAndResources/webcastInfo… - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - WHERE: near the San Francisco Airport (SFO/San Bruno), CA, USA WEB: http://cyberwebconsulting.com FLYER: http://cyberwebconsulting.com/flyerPP1.pdf LOCALS: easy freeway (101/280/380) with lots of parking plus public transit (BART and CalTrain) access via the San Bruno stations, easily accessible from all parts of the Bay Area VISITORS: free shuttle to/from the airport, free high-speed internet, free breakfast and regular evening receptions; fully-equipped suites See website for costs, venue info, and registration. There is a significant discounts available for full-time students, secondary teachers, and others. Hope to see you there! -- wesley - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - "Core Python Programming", Prentice Hall, (c)2007,2001 "Python Fundamentals", Prentice Hall, (c)2009 http://corepython.com wesley.chun : wescpy-gmail.com : @wescpy python training and technical consulting cyberweb.consulting : silicon valley, ca http://cyberwebconsulting.com

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ANN: mock 0.7.0 release candidate 1
by Fuzzyman 25 Feb '11

25 Feb '11

There is a new release of mock: mock 0.7.0 rc1 http://pypi.python.org/pypi/mock This is intended to be the last release of mock before 0.7.0 final and the only changes anticipated are documentation changes which I've finally started work on. mock is a Python library for simple mocking and patching (replacing objects with mocks during test runs). The "headline features" in 0.7.0 are Python 3 support and the ability to mock magic methods. You can now mock objects that behave like containers or are used as context managers. mock is designed for use with unittest, based on the "action -> assertion" pattern rather than "record -> replay". People are happily using mock with Python test frameworks like nose and py.test. 0.7.0 is a major new release with a bunch of other new features and bugfixes as well. http://pypi.python.org/pypi/mock/ (download) http://www.voidspace.org.uk/python/mock/ (documentation) https://code.google.com/p/mock/ (repo and issue tracker) Changelog: http://www.voidspace.org.uk/python/mock/changelog.html#version-0-7-0-rc-1 Changes since beta 4: * Tested with jython, pypy and Python 3.2 and 3.1 * Decorated functions / methods have their docstring and __module__ preserved on Python 2.4 * BUGFIX: mock.patch now works correctly with certain types of objects that proxy attribute access, like the django settings object * BUGFIX: reset_mock caused infinite recursion when a mock is set as its own return value Michael Foord

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python stdnet 0.5 released
by Luca Sbardella 24 Feb '11

24 Feb '11

We're happy to announce the release of python-stdnet 0.5.0. Compatible with python 2.6, 2.7 and the python 3 series. What is it? ============= stdnet is an object relational mapper for remote data structures. It is designed to work with redis (http://redis.io/) data-store server, but implemented so that other storage systems can be supported in the future. Create a model, register it to a back-end data structure server and create objects. Simple to use and configure. You can manipulate and filter your data using a rich model API which is similar to django (http://www.djangoproject.com/). stdnet is a stand-alone application and it includes a modified version of redis-py (https://github.com/andymccurdy/redis-py) for python 3 compatibility. There are over 160 tests with a coverage of about 60%. For more information visit http://lsbardel.github.com/python-stdnet/ Resources ========= documentation: http://lsbardel.github.com/python-stdnet/ downloads: http://pypi.python.org/pypi/python-stdnet/ development: https://github.com/lsbardel/python-stdnet

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ANN: ActivePython 3.2.0.0 is now available
by Sridhar Ratnakumar 22 Feb '11

22 Feb '11

ActiveState is pleased to announce ActivePython 3.2.0.0, a complete, ready-to-install binary distribution of Python 3.2. http://www.activestate.com/activepython/downloads What's New in ActivePython-3.2.0.0 ================================== New Features & Upgrades ----------------------- - First ActivePython release based on Python 3.2 core - PyPM (beta) for Python 3.2 - Distribute (setuptools) - [Windows] Upgrade to PyWin32 CVS snapshot as of 2011-01-16 - [MacOSX] ``readline`` support via Apple's ``libedit`` library - OpenSSL 1.0.0d - [Windows] Fix a ``tarfile`` performance issue (`issue11224 <http://bugs.python.org/issue11224>`_) What's new in Python 3.2 ======================== * Stable ABI: Extension modules built for 3.2 can continue to work with 3.3, 3.4 and so on. * argparse: argparse, an improved alternative to optparse included in Python 2.7, is now available in 3.2 as well. * concurrent.futures: Inspired by java.util.concurrent.package, this module abstracts threads/processes/RPC-calls by way of abstract executors with support for status checks, timeouts, cancellations, callbacks, access to results or exceptions. futures makes it easier to switch from one concurrent implementation to another, eg: from thread to process pool. * PYC repository directories: Ever faced with ".pyc conflicts" between multiple Python versions? Python 3.2 introduced a new bytecode caching mechanism: foo.pyc gets a new name: __pycache__/foo.cpython-32.pyc (similarly for .so files) ... thus properly fixing such conflicts, even across different Python interpreter implementations. * WSGI for Python 3: The WSGI spec is now adapted for Python3's bytes/text distinction. See PEP 3333 for details. For the complete list of changes, see http://docs.activestate.com/activepython/3.2/python/whatsnew/3.2.html What is ActivePython? ===================== ActivePython is ActiveState's binary distribution of Python. Builds for Windows, Mac OS X, Linux are made freely available. Solaris, HP-UX and AIX builds, and access to older versions are available in ActivePython Business, Enterprise and OEM editions: http://www.activestate.com/python ActivePython includes the Python core and the many core extensions: zlib and bzip2 for data compression, the Berkeley DB (bsddb) and SQLite (sqlite3) database libraries, OpenSSL bindings for HTTPS support, the Tix GUI widgets for Tkinter, ElementTree for XML processing, ctypes (on supported platforms) for low-level library access, and others. The Windows distribution ships with PyWin32 -- a suite of Windows tools developed by Mark Hammond, including bindings to the Win32 API and Windows COM. ActivePython also includes a binary package manager for Python (PyPM) that can be used to install packages much easily. For example: C:\>pypm install numpy [...] C:\>python >>> import numpy.linalg >>> PyPM module availability for 3.2 can be seen at: http://code.activestate.com/pypm/tag:python3/ See this page for full details: http://docs.activestate.com/activepython/3.2/whatsincluded.html As well, ActivePython ships with a wealth of documentation for both new and experienced Python programmers. In addition to the core Python docs, ActivePython includes the "What's New in Python" series, "Dive into Python", the Python FAQs & HOWTOs, and the Python Enhancement Proposals (PEPs). An online version of the docs can be found here: http://docs.activestate.com/activepython/3.2/ We would welcome any and all feedback to: activepython-feedback(a)activestate.com Please file bugs against ActivePython at: http://bugs.activestate.com/enter_bug.cgi?product=ActivePython Supported Platforms =================== ActivePython is available for the following platforms: - Windows (x86 and x64) - Mac OS X (x86 and x86_64; 10.5+) - Linux (x86 and x86_64) - Solaris/SPARC (32-bit and 64-bit) (Business, Enterprise or OEM edition only) - Solaris/x86 (32-bit) (Business, Enterprise or OEM edition only) - HP-UX/PA-RISC (32-bit) (Business, Enterprise or OEM edition only) - HP-UX/IA-64 (32-bit and 64-bit) (Enterprise or OEM edition only) - AIX/PowerPC (32-bit and 64-bit) (Business, Enterprise or OEM edition only) More information about the Business Edition can be found here: http://www.activestate.com/business-edition Custom builds are available in the Enterprise Edition: http://www.activestate.com/enterprise-edition Thanks, and enjoy! The Python Team -- Sridhar Ratnakumar sridharr at activestate.com

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Wingware Sale: 20% off Everything
by Wingware 21 Feb '11

21 Feb '11

Hi, To celebrate the release of Wing IDE version 4.0 we are offering 20% off all new licenses, upgrades, and Support+Upgrades subscriptions through March 17th, 2011. Start at https://wingware.com/store and enter discount code w4sale when prompted. For more information on Wing IDE 4.0 see http://wingware.com/news/2011-02-19 Thanks! -- Stephan Deibel Wingware | Python IDE Advancing Software Development www.wingware.com

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Wing IDE 4.0 Released
by Wingware 21 Feb '11

21 Feb '11

Hi, Wingware has released version 4.0 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, refactoring, a powerful graphical debugger, version control, unit testing, search, and many other features. **Changes in Version 4.0** Version 4.0 adds the following new major features: * Refactoring -- Rename and move symbols, and extract code to function or method * Find Uses -- Find all points of use of a symbol * Diff/Merge -- Graphical file and repository comparison and merge * Django Support -- Debug Django templates, run Django unit tests, and more * matplotlib Support -- Maintains live-updating plots in shell and debugger * Simplified Licensing -- Includes all OSes and adds Support+Upgrades subscriptions Complete Change Log: http://wingware.com/pub/wingide/4.0.0/CHANGELOG.txt Details on Licensing Changes: http://wingware.com/news/2011-02-16 **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 beginning programming courses with Python. Version 4.0 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, find uses, goto-definition, error indicators, refactoring, 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 * Django support: Debugs Django templates, provides project setup tools, and runs Django unit tests * Many other features including project manager, bookmarks, code snippets, diff/merge tool, OS command integration, indentation manager, PyLint integration, and perspectives * Extremely configurable and may be extended with Python scripts * Extensive product documentation and How-Tos for Django, matplotlib, Plone, wxPython, PyQt, mod_wsgi, Autodesk Maya, and many other frameworks Please refer to 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 (requires X11 Server), or a recent Linux system (either 32 or 64 bit). Wing IDE supports Python versions 2.0.x through 3.2.x and Stackless Python. For more information, see the http://wingware.com/ **Downloads** Wing IDE Professional and Wing IDE Personal are commercial software and require a license to run. A free trial can be obtained directly from the product when launched. Wing IDE Pro -- Full-featured product: http://wingware.com/downloads/wingide/4.0 Wing IDE Personal -- A simplified IDE: http://wingware.com/downloads/wingide-personal/4.0 Wing IDE 101 -- For teaching with Python: http://wingware.com/downloads/wingide-101/4.0 **Purchasing and Upgrading** Wing 4.0 requires an upgrade for Wing IDE 2.x and 3.x users at a cost of 1/2 the full product pricing. Upgrade a license: https://wingware.com/store/upgrade Purchase a new license: https://wingware.com/store/purchase -- The Wingware Team Wingware | Python IDE Advancing Software Development www.wingware.com

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Python-announce-list February 2011