Mailman 3 September 2009 - Python-announce-list

python-graph-1.6.2 released
by Pedro Matiello 01 Oct '09

01 Oct '09

python-graph release 1.6.2 http://code.google.com/p/python-graph/ ------------------------------------------------------------------------ python-graph is a library for working with graphs in Python. This software provides a suitable data structure for representing graphs and a whole set of important algorithms. The code is appropriately documented and API reference is generated automatically by epydoc. Provided features and algorithms: * Support for directed, undirected, weighted and non-weighted graphs * Support for hypergraphs * Canonical operations * XML import and export * DOT-Language output (for usage with Graphviz) * Random graph generation * Accessibility (transitive closure) * Breadth-first search * Critical path algorithm * Cut-vertex and cut-edge identification * Depth-first search * Heuristic search (A* algorithm) * Identification of connected components * Minimum spanning tree (Prim's algorithm) * Mutual-accessibility (strongly connected components) * Shortest path search (Dijkstra's algorithm) * Topological sorting * Transitive edge identification The 1.6.x series is our refactoring series. Along the next releases, we'll change the API so we can better prepare the codebase to new features. If you want a softer, directed transition, upgrade your code to every release in the 1.6.x series. On the other hand, if you'd rather fix everything at once, you can wait for 1.7.0. Download: http://code.google.com/p/python-graph/downloads/list (tar.bz2, zip and egg packages are available.) Installing: If you have easy_install on your system, you can simply run: # easy_install python-graph-core And, optionally, for Dot-Language support: # easy_install python-graph-dot

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SQLObject 0.11.2
by Oleg Broytman 30 Sep '09

30 Sep '09

Hello! I'm pleased to announce version 0.11.2, a minor bugfix release of 0.11 branch of SQLObject. What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: http://cheeseshop.python.org/pypi/SQLObject/0.11.2 News and changes: http://sqlobject.org/News.html What's New ========== News since 0.11.1 ----------------- * Fixed a bug in logging to console - convert unicode to str. * Fixed an obscure bug in ConnectionHub triggered by an SQLObject class whose instances can be coerced to boolean False. For a more complete list, please see the news: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phd.pp.ru/ phd(a)phd.pp.ru Programmers don't die, they just GOSUB without RETURN.

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SQLObject 0.10.8
by Oleg Broytman 30 Sep '09

30 Sep '09

Hello! I'm pleased to announce version 0.10.8, a minor bugfix release of 0.10 branch of SQLObject. What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: http://cheeseshop.python.org/pypi/SQLObject/0.10.8 News and changes: http://sqlobject.org/News.html What's New ========== News since 0.10.7 ----------------- * Fixed a bug in logging to console - convert unicode to str. * Fixed an obscure bug in ConnectionHub triggered by an SQLObject class whose instances can be coerced to boolean False. For a more complete list, please see the news: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phd.pp.ru/ phd(a)phd.pp.ru Programmers don't die, they just GOSUB without RETURN.

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python-colormath 1.0.5 Released
by Greg Taylor 29 Sep '09

29 Sep '09

An error in the CIE2000 Delta E equation has been found and corrected, necessitating the immediate release of python-colormath 1.0.5. All users of the 1.x series are encouraged to upgrade to avoid this mathematical error. What new in 1.0.5? =============== * The examples and unit tests may be ran directly from their directories now, without installing the package. * Updated the setup.py file to include the examples and LICENSE.txt file in the source distribution. * Fixed a small error in the CIE2000 Delta E formula. This could had resulted in some minor skew in calculations. What is python-colormath? ==================== python-colormath is a developer-oriented module that abstracts a number of color math operations behind a small set of classes representing color spaces (IE: RGB, CIE Lab, XYZ, and LCH, etc.). Color conversions, delta E comparisons, and density calculations are all relatively involved, but are hid behind the simple API. Where is python-colormath? ===================== Getting Started/Website/Development: http://code.google.com/p/python-colormath/ Documentation: http://code.google.com/p/python-colormath/w/list Download: http://pypi.python.org/pypi/colormath/ -- Gregory Taylor

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ANN: Veusz 1.5 released
by Jeremy Sanders 28 Sep '09

28 Sep '09

Veusz 1.5 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2009 Jeremy Sanders <jeremy(a)jeremysanders.net> Licenced under the GPL (version 2 or greater). Veusz is a Qt4 based scientific plotting package. It is written in Python, using PyQt4 for display and user-interfaces, and numpy for handling the numeric data. Veusz is designed to produce publication-ready Postscript/PDF output. The user interface aims to be simple, consistent and powerful. Veusz provides a GUI, command line, embedding and scripting interface (based on Python) to its plotting facilities. It also allows for manipulation and editing of datasets. Changes in 1.5: * EMF export (requires pyemf and PyQt snapshot) * Character encodings supported in data import * Rewritten stylesheet handling. User can now set defaults in document for all settings. This is now under the Edit->Default Styles dialog. * A default stylesheet can be loaded for all new documents (set in preferences dialog) * Linked datasets saved in documents now use relative filename paths (with absolute paths as fallback) * Axes can now have text labels of points plotted along them (choose "labels" as axis mode) * Dataset points can be scaled to different sizes according to another dataset (this is the "Scale markers" option for point plotters) More minor changes * Custom delimiter support in CSV data importer * Add SetDataText and support text in GetData in command API * \dot and \bar added to LaTeX renderer * Option to change icon sizes displayed * Rearrange toolbar icons and create data and widget operation toolbars * Zoom button remembers previous usage * Conversion from 1D->2D datasets more robust * Expression datasets can now be a constant value * Uses colors form theme better and allow user to change some UI colors in preferences * Fix contours if coordinates can be infinite (e.g. log scaling with zero value) * nan/inf are no longer ignored when the ignore text option is selected in import dialog * Several other minor UI changes and bugfixes Important note * As the way defaults are used has been rewritten, default values are no longer saved on a per-user basis but are saved in a stylesheet and is saved in the document. You cannot currently set defaults on a widget- name basis. Features of package: * X-Y plots (with errorbars) * Line and function plots * Contour plots * Images (with colour mappings and colorbars) * Stepped plots (for histograms) * Bar graphs * Plotting dates * Fitting functions to data * Stacked plots and arrays of plots * Plot keys * Plot labels * Shapes and arrows on plots * LaTeX-like formatting for text * EPS/PDF/PNG/SVG/EMF export * Scripting interface * Dataset creation/manipulation * Embed Veusz within other programs * Text, CSV and FITS importing Requirements: Python (2.4 or greater required) http://www.python.org/ Qt >= 4.3 (free edition) http://www.trolltech.com/products/qt/ PyQt >= 4.3 (SIP is required to be installed first) http://www.riverbankcomputing.co.uk/pyqt/ http://www.riverbankcomputing.co.uk/sip/ numpy >= 1.0 http://numpy.scipy.org/ Optional: Microsoft Core Fonts (recommended for nice output) http://corefonts.sourceforge.net/ PyFITS >= 1.1 (optional for FITS import) http://www.stsci.edu/resources/software_hardware/pyfits pyemf >= 2.0.0 (optional for EMF export) http://pyemf.sourceforge.net/ For EMF export, PyQt-x11-gpl-4.6-snapshot-20090906 or better is required, to fix a bug in the C++ wrapping For documentation on using Veusz, see the "Documents" directory. The manual is in pdf, html and text format (generated from docbook). Issues with the current version: * Due to Qt, hatched regions sometimes look rather poor when exported to PostScript, PDF or SVG. * Clipping of data does not work in the SVG export as Qt currently does not support this. * Due to a bug in Qt, some long lines, or using log scales, can lead to very slow plot times under X11. This problem is seen with dashed/dotted lines. It is fixed by upgrading to Qt-4.5.1 (the Veusz binary version includes this Qt version). Switching off antialiasing in the options may help this. If you enjoy using Veusz, I would love to hear from you. Please join the mailing lists at https://gna.org/mail/?group=veusz to discuss new features or if you'd like to contribute code. The latest code can always be found in the SVN repository. Jeremy Sanders

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EPD Webinar October 2nd: How do I...process signals with EPD? (wait list for non-subscribers!)
by Amenity Applewhite 27 Sep '09

27 Sep '09

Having trouble viewing this email? Click here You're receiving this email because of your relationship with Enthought, Inc.. Please confirm your continued interest in receiving email from us. You may unsubscribe if you no longer wish to receive our emails. Friday, October 2nd 1pm CDT How do I...process signals with EPD? Hello! We wanted to let you know that next week we'll host another installment of our popular EPD webinar series. Although only EPD Basic or above subscribers are guaranteed seats at EPD webinars, we invite non-subscribers to add their names to the waiting list for each event. If there are available seats, you will be notified by next Thursday and given access to the webinar. Links to the waiting lists and upcoming topics are available here. These events feature detailed demonstrations of powerful Python techniques that Enthought developers use to enhance our applications or development process. Participants are often invited to participate in the demonstration, and are welcome to join the interactive VOIP discussion later in the session. This is a great opportunity to learn new methods and interact with our expert developers. If you have topics you'd like to see addressed during the webinar, feel free to let us know at media(a)enthought.com. How do I...process signals with EPD? One of the useful tools in the the Enthought Python Distribution (EPD) is the signal processing module of SciPy. In this webinar we will demonstrate how to analyze and process signals using the Fast Fourier Transform (FFT), and the tools in scipy.signal. Topics to be covered include designing and applying time-domain and frequency-domain filters, down-sampling data, and dealing with data streams by processing chunks at a time while handling edge-effects. Once again, to add your name to the wait-list, visit our site. We hope to see you there! Thanks, Enthought Media Quick Links... Enthought.com Enthought Python Distribution (EPD) Enthought Webinars @Facebook @Twitter Forward email This email was sent to amenity.applewhite(a)gmail.com by amenity(a)enthought.com . Update Profile/Email Address | Instant removal with SafeUnsubscribe™ | Privacy Policy. Enthought, Inc. | 515 Congress Ave. | Suite 2100 | Austin | TX | 78701

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ANN: PyQt v4.6 Released
by Phil Thompson 27 Sep '09

27 Sep '09

PyQt v4.6 has been released and is available from http://www.riverbankcomputing.com/software/pyqt/. PyQt is a comprehensive set of bindings for the Qt application and UI framework from Nokia. It supports the same platforms as Qt (Windows, Linux and MacOS/X). PyQt supports Python v3 and Python v2.3 and later. The highlights of this release include: - alternate, more Pythonic, APIs have been implemented for QDate, QDateTime, QString, QTextStream, QTime, QUrl and QVariant. Applications may select a particular API. By default Python v3 uses the new versions and Python v2 uses the old versions - Qt properties can be initialised, and signals connected using keyword arguments passed when creating an instance. Properties and signals can also be set using the QObject.pyqtConfigure() method. Windows installers are provided for the GPL version of PyQt which contains everything needed for PyQt development (including Qt, Qt Designer and QScintilla) except Python itself. PyQt v4 is implemented as a set of 18 extension modules containing over 400 classes and over 6,000 functions and methods. QtCore The non-GUI infrastructure including event loops, threads, i18n, Unicode, signals and slots, user and application settings, mapped files and shared memory. QtDesigner A set of classes that allow the Qt Designer GUI design tool to be extended with PyQt. QtGui A rich collection of GUI widgets. QtHelp A set of classes for creating and viewing searchable documentation and being able to integrate online help with PyQt applications. It includes the C++ port of the Lucene text search engine. QtNetwork A set of classes to support TCP and UDP socket programming and higher level protocols (eg. HTTP, SSL). QtOpenGL A set of classes that allows PyOpenGL to render onto Qt widgets. QtScript A set of classes that implements a JavaScript interpreter. Python objects may be exposed in the interpreter as JavaScript objects. QtScriptTools A debugger for the JavaScript interpreter. QtSql A set of classes that implement SQL data models and interfaces to industry standard databases. The Windows installers include support for SQLite, MySQL, PostgreSQL and ODBC. QtSvg A set of classes to render SVG files onto Qt widgets. QtTest A set of classes to automate unit testing of PyQt applications and GUIs. QtWebKit This implements a web browser engine based on the WebKit engine used by Apple's Safari browser. It allows the methods and properties of Python objects to be published and appear as JavaScript objects to scripts embedded in HTML pages. QtXML A set of classes that implement DOM and SAX parsers. QtXMLPatterns A set of classes that implement XQuery and XPath support for XML and custom data models. QtAssistant A set of classes that enables the Qt Assistant online help browser to be integrated with an application. QAxContainer A set of classes for Windows that allows the integration of ActiveX controls and COM objects. phonon A cross-platform multimedia framework that enables the use of audio and video content in PyQt applications. DirectX is used as the Windows backend, QuickTime as the MacOS/X backend, and GStreamer as the Linux backend. DBus PyQt includes dbus.mainloop.qt that allows the Qt event loop to be used with the standard DBus Python bindings. PyQt includes the pyuic4 utility which generates Python code to implement user interfaces created with Qt Designer in the same way that the uic utility generates C++ code. It is also able to load Designer XML files dynamically. PyQt is available under the GPL and a commercial license. Unlike Qt, PyQt is not available under the LGPL. The commercial PyQt license allows GPL applications to be relicensed at any time.

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ANN: SIP v4.9 Released (Python Bindings Generator)
by Phil Thompson 27 Sep '09

27 Sep '09

SIP v4.9 has been released and can be downloaded from http://www.riverbankcomputing.com/software/sip/. SIP is a tool for generating Python modules that wrap C or C++ libraries. It is similar to SWIG. It is used to generate PyQt and PyKDE. The SIP license is similar to the Python License and is also licensed under the GPL v2 and v3. SIP runs on Windows, UNIX, Linux and MacOS/X. SIP requires Python v2.3 or later and fully supports Python v3. The main focus of this release is to allow alternate, incompatible wrappings of classes and functions to be defined which can then be selected by an application at runtime. This allows application developers to manage the migration from an old, deprecated API to a new one. Other features of SIP include: - extension modules are implemented as a single binary .pyd or .so file (no Python stubs) - support for Python new-style classes - the ability to specify the super-type and meta-type used to wrap instances - generated modules are quick to import, even for large libraries - thread support - the ability to re-implement C++ abstract and virtual methods in Python - the ability to define Python classes that derive from abstract C++ classes - the ability to spread a class hierarchy across multiple Python modules - support for C++ namespaces - support for C++ exceptions - support for C++ operators - an extensible build system written in Python that supports over 50 platform/compiler combinations - the generation of API files for IDEs that support autocompletion and call tips.

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[ANNOUNCE] PyPoppler 0.12.1
by Gian Mario Tagliaretti 27 Sep '09

27 Sep '09

I am pleased to announce version 0.12.1 of the Python bindings for Poppler. This is a quick follow up to add a couple of new objects that were missing from the defs, h2defs didn't pick them up automatically. It is available at: http://launchpad.net/poppler-python/trunk/development/+download/pypoppler-0… md5: 1a89e5ed3042afc81bbd4d02e0cf640a PyPoppler 0.12.1 (Sep 27 2009) ================================== o Add LayersIter boxed type o Add Layers gobject type Blurb: ====== Poppler[1] is a PDF rendering library based on the xpdf-3.0 code base. PyPoppler is a wrapper which exposes the poppler API to the python world. It is fairly complete, most of the API are covered. The documentation is actually missing, help wanted :) Like the Poppler library itself, PyPoppler is licensed under the GNU GPL. PyPoppler requires: ===================== o Poppler >= 0.12.0 o PyGObject >= 2.10.1 o PyGTK >= 2.10.0 o PyCairo >= 1.8.4 Bug reports should go to https://launchpad.net/poppler-python [1] http://poppler.freedesktop.org/ cheers -- Gian Mario Tagliaretti GNOME Foundation member gianmt(a)gnome.org

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Cython 0.11.3 released.
by Robert Bradshaw 27 Sep '09

27 Sep '09

We are happy to announce the release of Cython 0.11.3 (http:// cython.org), which is the accumulation of numerous bugfixes and other work since the beginning of the summer. Some new features include a cython freeze utility that allows one to compile several modules into a single executable (Mark Lodato) and the ability to enable profiling Cython code with Python profilers using the new cython.profile directive. We also had two successful summer of code projects, but neither is quite ready to be merged in at this time. This will probably be the last minor release before Cython 0.12. Thanks to Grant Baillie, Stefan Behnel, Robert Bradshaw, Lisandro Dalcin, Mark Lodato, Andrey Plotnikov, Dag Sverre Seljebotn, and Kurt Smith for contributing to this release. What is Cython? ===================== Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Where to get it? ===================== http://cython.org/ http://pypi.python.org/pypi/Cython/

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