Python-announce-list August 2010

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49 participants
59 discussions

ride tab editor 2.03 has been released
by edexter 01 Sep '10

01 Sep '10

Ride Tab Editor 2.03 has been released. New in this version are some minor graphics fixes, a new customizable tool menu for users code is alpha (not quite working yet). http://dexrowem.blogspot.com/search?q=ride+tab+editor

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ANN: NumPy 1.5.0 release
by Ralf Gommers 31 Aug '10

31 Aug '10

I am pleased to announce the availability of NumPy 1.5.0. This is the first NumPy release to include support for Python 3, as well as for Python 2.7. Binaries, sources, documentation and release notes can be found at https://sourceforge.net/projects/numpy/files/. Thank you to everyone who contributed to this release. Enjoy, the Numpy developers ========================= NumPy 1.5.0 Release Notes ========================= Highlights ========== Python 3 compatibility ---------------------- This is the first NumPy release which is compatible with Python 3. Support for Python 3 and Python 2 is done from a single code base. Extensive notes on changes can be found at `<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_. Note that the Numpy testing framework relies on nose, which does not have a Python 3 compatible release yet. A working Python 3 branch of nose can be found at `<http://bitbucket.org/jpellerin/nose3/>`_ however. Porting of SciPy to Python 3 is expected to be completed soon. :pep:`3118` compatibility ------------------------- The new buffer protocol described by PEP 3118 is fully supported in this version of Numpy. On Python versions >= 2.6 Numpy arrays expose the buffer interface, and array(), asarray() and other functions accept new-style buffers as input. New features ============ Warning on casting complex to real ---------------------------------- Numpy now emits a `numpy.ComplexWarning` when a complex number is cast into a real number. For example: >>> x = np.array([1,2,3]) >>> x[:2] = np.array([1+2j, 1-2j]) ComplexWarning: Casting complex values to real discards the imaginary part The cast indeed discards the imaginary part, and this may not be the intended behavior in all cases, hence the warning. This warning can be turned off in the standard way: >>> import warnings >>> warnings.simplefilter("ignore", np.ComplexWarning) Dot method for ndarrays ----------------------- Ndarrays now have the dot product also as a method, which allows writing chains of matrix products as >>> a.dot(b).dot(c) instead of the longer alternative >>> np.dot(a, np.dot(b, c)) linalg.slogdet function ----------------------- The slogdet function returns the sign and logarithm of the determinant of a matrix. Because the determinant may involve the product of many small/large values, the result is often more accurate than that obtained by simple multiplication. new header ---------- The new header file ndarraytypes.h contains the symbols from ndarrayobject.h that do not depend on the PY_ARRAY_UNIQUE_SYMBOL and NO_IMPORT/_ARRAY macros. Broadly, these symbols are types, typedefs, and enumerations; the array function calls are left in ndarrayobject.h. This allows users to include array-related types and enumerations without needing to concern themselves with the macro expansions and their side- effects. Changes ======= polynomial.polynomial --------------------- * The polyint and polyder functions now check that the specified number integrations or derivations is a non-negative integer. The number 0 is a valid value for both functions. * A degree method has been added to the Polynomial class. * A trimdeg method has been added to the Polynomial class. It operates like truncate except that the argument is the desired degree of the result, not the number of coefficients. * Polynomial.fit now uses None as the default domain for the fit. The default Polynomial domain can be specified by using [] as the domain value. * Weights can be used in both polyfit and Polynomial.fit * A linspace method has been added to the Polynomial class to ease plotting. * The polymulx function was added. polynomial.chebyshev -------------------- * The chebint and chebder functions now check that the specified number integrations or derivations is a non-negative integer. The number 0 is a valid value for both functions. * A degree method has been added to the Chebyshev class. * A trimdeg method has been added to the Chebyshev class. It operates like truncate except that the argument is the desired degree of the result, not the number of coefficients. * Chebyshev.fit now uses None as the default domain for the fit. The default Chebyshev domain can be specified by using [] as the domain value. * Weights can be used in both chebfit and Chebyshev.fit * A linspace method has been added to the Chebyshev class to ease plotting. * The chebmulx function was added. * Added functions for the Chebyshev points of the first and second kind. histogram --------- After a two years transition period, the old behavior of the histogram function has been phased out, and the "new" keyword has been removed. correlate --------- The old behavior of correlate was deprecated in 1.4.0, the new behavior (the usual definition for cross-correlation) is now the default. 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ANN: GMPY 1.13 released
by casevh 31 Aug '10

31 Aug '10

Everyone, I'm pleased to announce a minor update to GMPY. GMPY is a wrapper for the MPIR or GMP multiple- precision arithmetic library. GMPY is available for download from: http://code.google.com/p/gmpy/ ------------------ GMPY 1.13 is the new stable release. GMPY 1.13 changes the formatting of the "mpq" rational type to match previous versions of GMPY (prior to 1.10) and to match Python's Fraction type. Properties to access the numerator and denominator were added. Binary installers for Python 3.2 are available. Please report any issues! casevh

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JSONBOT 0.3 RELEASE
by Bart Thate 30 Aug '10

30 Aug '10

Hello world ! I just released version 0.3 of JSONBOT. JSONBOT is a remote event driven framework for building bots that talk JSON to each other over XMPP. This distribution provides bots built on this framework for console, IRC, XMPP for the shell and WWW and XMPP for the Google Application engine. JSONBOT 0.3 provides the following programs: jsb - console version of jsonbot jsb-import - import data from another bot jsb-installplug - install remote plugins jsb-irc - IRC version of jsonbot (socket) jsb-xmpp - XMPP version of jsonbot (socket) jsb-fleet - mix IRC and XMPP bots jsb-release - create a new release directory jsb-rollback - rollback a release jsb-run - run a release in the GAE dev_appserver jsb-stop - stop a running bot jsb-upload - upload a release to the GAE A plugin infrastructure is in place to program the functionality that is needed. JSONBOT 0.3 plugins: 8b - eight ball admin - administator related commands alias - keep aliases (per user) ask - plugin for asking "experts" a question choice - choice out of a list .. used in pipelines controlchar - set the control character of a channel forward - forward events of a channel to another bot clone - clone waves into new ones core - core bot commands count - count the numbers in a result .. used in pipelines data - provide data dumps of channels, bots, events fleet - support multiple bots in a running instance (list of bots) gae - provide GAE commands like flush cache or cache stats gadget - wave gadget support gcalc - use google to calculate grep - grep the result .. used in pipelines hubbub - pubsubhubbub plugin providing subscribe functionality ipcalc - ipcalculator irc - IRC related commands jsondata - enable/disable sharing of files through the jsonserver (not enabled right now) kickban - channel control commands for IRC misc - other commands more - do a more on buffered output nickcapture - retake nick (IRC) nickserv - nickserver support (IRC) not - negated grep .. used in pipelines outputcache - show outputcache data rss - provide RSS and Atom pollers relay - relay to other waves/xmpp restserver - provide REST functionality to the bot reload - reloading of plugins reverse - rever see the result .. also used in pipelines seen - keep track of users shop - keep shopping lists sort - sort the result .. used in pipelines tail - tail the result .. used in pipelines test - test commands tinyurl - get a tinyurl todo - keep a todo list underauth - undernet auth support (IRC) uniq - make the result unique .. used in pipelines user - user management userstate - userstate management watcher - watch channels that get forwarded to the bot. wave - wave related commands weather - show weather in a city welcome - welcome messages shown in the gadget wikipedia - query wikipedia xmpp - xmpp related functions account Project home is at http://jsonbot.googlecode.com Have fun with it!

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Lupa 0.13.1 released (Lua in Python)
by Stefan Behnel 30 Aug '10

30 Aug '10

Hi all, Lupa 0.13.1 was released to fix a major distribution bug in 0.13. Updating is recommended. http://pypi.python.org/pypi/lupa/0.13.1 What is Lupa? ------------- Lupa integrates the LuaJIT2 runtime into CPython. It is a partial rewrite of LunaticPython in Cython with some additional features such as proper coroutine support. Why use it? ------------ It complements Python very well. Lua is a language as dynamic as Python, but LuaJIT compiles it to very fast machine code, sometimes faster than many other compiled languages. The language runtime is extremely small and carefully designed for embedding. The complete binary module of Lupa, including a statically linked LuaJIT2 runtime, is only some 500KB on a 64 bit machine. However, Lua code is harder to write than Python code as the language lacks most of the batteries that Python includes. Writing large programs in Lua is rather futile, but it provides a perfect backup language when raw speed is more important than simplicity, and edit-compile-run cycles are too heavy for agile development. Lupa is a very fast and thin wrapper around LuaJIT. It makes it easy to write dynamic Lua code that accompanies dynamic Python code by switching between the two languages at runtime, based on the tradeoff between simplicity and speed. Recent Changes --------------- 0.13.1 (2010-08-30) * fix Cython generated C file using Cython 0.13 0.13 (2010-08-29) * fixed undefined behaviour on str(lua_object) when the object's __tostring() meta method fails * removed redundant "error:" prefix from LuaError messages * access to Python's python.builtins from Lua code * more generic wrapping rules for Python objects based on supported protocols (callable, getitem, getattr) * new helper functions as_attrgetter() and as_itemgetter() to specify the Python object protocol used by Lua indexing when wrapping Python objects in Python code * new helper functions python.as_attrgetter(), python.as_itemgetter() and python.as_function() to specify the Python object protocol used by Lua indexing of Python objects in Lua code * item and attribute access for Python objects from Lua code 0.12 (2010-08-16) * fix Lua stack leak during table iteration * fix lost Lua object reference after iteration 0.11 (2010-08-07) * error reporting on Lua syntax errors failed to clean up the stack so that errors could leak into the next Lua run * Lua error messages were not properly decoded

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ANNOUNCE: TGWebServices 1.2.4
by Christophe de Vienne 30 Aug '10

30 Aug '10

Hi, I am pleased to announce the release of TGWebServices 1.2.4. Download: http://pypi.python.org/pypi/TGWebServices/1.2.4 Homepage: http://code.google.com/p/tgws/ What is it? =========== TGWebServices provides a very easy way to implement multi-procotol webservices in your TurboGears application. What's New? =========== This release brings a few improvements and bug fixes. Among them : - native date, time and datetime support - base64-encodede binary support - Improved documentation A more complete Changelog is available at http://wiki.tgws.googlecode.com/hg/changelog.html Cheers, Christophe

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[ANN] Reminder: Autumn School "Advanced Scientific Programming in Python" in Trento, Italy
by Tiziano Zito 28 Aug '10

28 Aug '10

Reminder: Application deadline is August 31st, 2010! =================================================== Advanced Scientific Programming in Python ========================================= an Autumn School by the G-Node, the Center for Mind/Brain Sciences and the Fondazione Bruno Kessler Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists actually use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques with theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game. We'll use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. Clean language design and easy extensibility are driving Python to become a standard tool for scientific computing. Some of the most useful open source libraries for scientific computing and visualization will be presented. This school is targeted at Post-docs and PhD students from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. A basic knowledge of the Python language is assumed. Participants without prior experience with Python should work through the proposed introductory materials. Date and Location ================= October 4th—8th, 2010. Trento, Italy. Preliminary Program =================== Day 0 (Mon Oct 4) — Software Carpentry & Advanced Python • Documenting code and using version control • Object-oriented programming, design patterns, and agile programming • Exception handling, lambdas, decorators, context managers, metaclasses Day 1 (Tue Oct 5) — Software Carpentry • Test-driven development, unit testing & Quality Assurance • Debugging, profiling and benchmarking techniques • Data serialization: from pickle to databases Day 2 (Wed Oct 6) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C • Programming project Day 3 (Thu Oct 7) — The Quest for Speed • Writing parallel applications in Python • When parallelization does not help: the starving CPUs problem • Programming project Day 4 (Fri Oct 8) — Practical Software Development • Efficient programming in teams • Programming project • The Pac-Man Tournament Every evening we will have the tutors' consultation hour: Tutors will answer your questions and give suggestions for your own projects Applications ============ You can apply on-line at http://www.g-node.org/python-autumnschool Applications must be submitted before August 31st, 2010. Notifications of acceptance will be sent by September 4th, 2010. No fee is charged but participants should take care of travel, living, and accommodation expenses. Candidates will be selected on the basis of their profile. Places are limited: acceptance rate in past editions was around 30%. Prerequisites ============= You are supposed to know the basics of Python to participate in the lectures! Look on the website for a list of introductory material. Faculty ======= • Francesc Alted, author of PyTables, Castelló de la Plana, Spain • Pietro Berkes, Volen Center for Complex Systems, Brandeis University, USA • Valentin Haenel, Berlin Institute of Technology and Bernstein Center for Computational Neuroscience Berlin, Germany • Zbigniew Jędrzejewski-Szmek, Faculty of Physics, University of Warsaw, Poland • Eilif Muller, The Blue Brain Project, Ecole Polytechnique Fédérale de Lausanne, Switzerland • Emanuele Olivetti, NeuroInformatics Laboratory, Fondazione Bruno Kessler and University of Trento, Italy • Rike-Benjamin Schuppner, Bernstein Center for Computational Neuroscience Berlin, Germany • Bartosz Teleńczuk, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bastian Venthur, Berlin Institute of Technology and Bernstein Focus: Neurotechnology, Germany • Stéfan van der Walt, Applied Mathematics, University of Stellenbosch, South Africa • Tiziano Zito, Berlin Institute of Technology and Bernstein Center for Computational Neuroscience Berlin, Germany Organized by Paolo Avesani for the Center for Mind/Brain Sciences and the Fondazione Bruno Kessler, and by Zbigniew Jędrzejewski-Szmek and Tiziano Zito for the German Neuroinformatics Node of the INCF. Website: http://www.g-node.org/python-autumnschool Contact: python-info(a)g-node.org

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ANN: ActivePython 2.7.0.2 is now available
by Sridhar Ratnakumar 28 Aug '10

28 Aug '10

ActiveState is pleased to announce ActivePython 2.7.0.2, a complete, ready-to-install binary distribution of Python 2.7. http://www.activestate.com/activepython What's New in ActivePython-2.7.0.2 ================================== *Release date: 25-Aug-2010* New Features & Upgrades ----------------------- - Security upgrade to openssl-0.9.8o - Upgrade to PyPM 1.1.1; noteworthy changes: - Custom config file support w/ new repository settings (-R free,be instead of -L) - Support for installing a local package, eg: ``pypm install /path/to/foo.pypm`` - Bug #87687: Prevent partial downloading of repo index cache - Upgraded the following packages: - Distribute-0.6.14 - pip-0.8 - SQLAlchemy-0.6.3 Noteworthy Changes & Bug Fixes ------------------------------ - [MacOSX] Fix Help index on Snow Leopard (10.6) - Bug #87290 - [Windows] Add file extension to Tools\scripts\2to3.py - Bug #87465 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 2.6 and 2.7 also include a binary package manager for Python (PyPM) that can be used to install packages much easily. For example: C:\>pypm install mysql-python [...] C:\>python >>> import MySQLdb >>> See this page for full details: http://docs.activestate.com/activepython/2.7/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/2.7/ 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 (32-bit) - Windows/x64 (64-bit) (aka "AMD64") - Mac OS X - Linux/x86 (32-bit) - Linux/x86_64 (64-bit) (aka "AMD64") - 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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ANN: ActivePython 2.6.6.15 is now available
by Sridhar Ratnakumar 28 Aug '10

28 Aug '10

ActiveState is pleased to announce ActivePython 2.6.6.15, a complete, ready-to-install binary distribution of Python 2.6.6. http://www.activestate.com/activepython What's New in ActivePython-2.6.6.15 =================================== *Release date: 25-Aug-2010* New Features & Upgrades ----------------------- - Upgrade to Python 2.6.6 (`release notes <http://www.python.org/download/releases/2.6.6/NEWS.txt>`__) - Security upgrade to openssl-0.9.8o - [MacOSX] 64-bit support (PPC and 10.4 are no longer supported) - Upgrade to PyPM 1.1.1; noteworthy changes: - Custom config file support w/ new repository settings (-R free,be instead of -L) - Support for installing a local package, eg: ``pypm install /path/to/foo.pypm`` - Bug #87687: Prevent partial downloading of repo index cache - Upgraded the following packages: - Distribute-0.6.14 - pip-0.8 - SQLAlchemy-0.6.3 Noteworthy Changes & Bug Fixes ------------------------------ - [MacOSX] Fix Help index on Snow Leopard (10.6) - Bug #87290 - [Windows] Add file extension to Tools\scripts\2to3.py - Bug #87465 What's New in ActivePython-2.6.5.14 =================================== *Release date: 07-Jul-2010* New Features & Upgrades ----------------------- - Upgrade to PyPM 1.0.2 - 'pypm search' now also shows if a package is installed and upgradeable - 'pypm info' now prints a concise representation by default - 'pypm list --short' will show only packages names; for scripting purposes - Respect distutils install schemes (purelib, scripts) Noteworthy Changes & Bug Fixes ------------------------------ - [MacOSX] Fix /usr/local/bin symlinks to not use the 'Current' symlink - [MacOSX] Fix uninstall on Snow Leopard (10.6) - [Windows] Include IDLE in the Start Menu shortcut, instead of PythonWin See the release notes for full details: http://docs.activestate.com/activepython/2.6/relnotes.html#changes 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 2.6 and 2.7 also include a binary package manager for Python (PyPM) that can be used to install packages much easily. For example: C:\>pypm install mysql-python [...] C:\>python >>> import MySQLdb >>> See this page for full details: http://docs.activestate.com/activepython/2.6/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/2.6/ 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 (32-bit) - Windows/x64 (64-bit) (aka "AMD64") - Mac OS X - Linux/x86 (32-bit) - Linux/x86_64 (64-bit) (aka "AMD64") - 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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web2py book 3rd ed
by Massimo Di Pierro 25 Aug '10

25 Aug '10

The third edition of the web2py book is out: http://www.lulu.com/product/paperback/web2py-%283rd-edition%29/12199578 also available in pDF and online for free in html at http://web2py.com/book It includes documentation about many features not documented in the 2nd edition including: - alternate login methods (openid, oauth, rpx, etc.) - application level routes - computed fields and virtual fields - recursive selects and dal shortcuts - field type list:linteger, list:string, list:reference - more deployment recipes and scalability suggestions - more details about GAE deployment - building modular apps with components and plugins - info about plugin_wiki (more or less described in this video: http://vimeo.com/13485916)

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Python-announce-list August 2010