Mailman 3 October 2013 - Python-announce-list

[RELEASED] Python 3.4.0a4
by Larry Hastings 21 Oct '13

21 Oct '13

On behalf of the Python development team, I'm very pleased to announce the fourth and final alpha release of Python 3.4. This is a preview release, and its use is not recommended for production settings. Python 3.4 includes a range of improvements of the 3.x series, including hundreds of small improvements and bug fixes. Major new features and changes in the 3.4 release series so far include: * PEP 435, a standardized "enum" module * PEP 436, a build enhancement that will help generate introspection information for builtins * PEP 442, improved semantics for object finalization * PEP 443, adding single-dispatch generic functions to the standard library * PEP 445, a new C API for implementing custom memory allocators * PEP 446, changing file descriptors to not be inherited by default in subprocesses * PEP 450, the new "statistics" module * PEP 3156, the new "asyncio" module, a new framework for asynchronous I/O To download Python 3.4.0a4 visit: http://www.python.org/download/releases/3.4.0/ Python 3.4.0a4 has several known issues: * The Python compiler has a small memory leak. * The "asyncio" module test suite fails on some platforms. * I/O conducted by the "asyncio" module may, rarely, erroneously time out. The timeout takes one hour. Please consider trying Python 3.4.0a4 with your code and reporting any new issues you notice to: http://bugs.python.org/ Enjoy! -- Larry Hastings, Release Manager larry at hastings.org (on behalf of the entire python-dev team and 3.4's contributors)

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isort 2.2.0
by timothy.crosley＠gmail.com 20 Oct '13

20 Oct '13

isort (the Python import sorting library, command line tool, Vim plugin, Sublime plugin, and Kate plugin) has released version 2.2.0: Improvements since 2.0.0 release: - Improved module grouping detection method. - Added two additional multi-line output modes (Vertical Grid & Vertical Grid Grouped). - Forces there to be exactly one new line at the end of all sorted files. - Kate-plugin now keeps cursor position when adding and removing imports. - Adds support for writing to stdout by appending -d argument - Adds support for automatically adding and/or removing import statements across multiple python files.

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dill-0.2a1
by Michael McKerns 20 Oct '13

20 Oct '13

dill: serialize all of python (almost) # Version 0.2a1: 10/20/13 The latest released version is dill-0.2a1, available at: http://dev.danse.us/trac/pathos You can get the latest development release with all the shiny new features at: http://dev.danse.us/packages or even better, fork us on our github mirror of the svn trunk: https://github.com/uqfoundation # Highlights Dill can pickle the following standard types:: - none, type, bool, int, long, float, complex, str, unicode, - tuple, list, dict, file, buffer, builtin, - both old and new style classes, - instances of old and new style classes, - set, frozenset, array, lambda, - standard functions, functions with yields, nested functions - cell, method, unboundmethod, module, code, methodwrapper - dictproxy, methoddescriptor, getsetdescriptor, memberdescriptor, - wrapperdescriptor, xrange, slice, - notimplemented, ellipsis, quit - ... and more Dill also provides the capability to:: - save and load python interpreter sessions - save and extract the source code from functions and classes - interactively diagnose pickling errors # Thanks: Thanks to everyone who contributed. It's been three long years since dill has made a proper release, so I appreciate everyone's nudging the package forward. The authors of dill also thank the UQ Foundation, the Caltech PSAAP project, the ExMatEx project, the AFOSR, the NSF and DOE for their recent support. --- Mike McKerns California Institute of Technology http://www.its.caltech.edu/~mmckerns

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ANN: SciPy 0.13.0 release
by Ralf Gommers 19 Oct '13

19 Oct '13

On behalf of the SciPy development team I'm pleased to announce the availability of SciPy 0.13.0. This release contains some interesting new features (see highlights below) and half a year's worth of maintenance work. 65 people contributed to this release. Some of the highlights are: - support for fancy indexing and boolean comparisons with sparse matrices - interpolative decompositions and matrix functions in the linalg module - two new trust-region solvers for unconstrained minimization This release requires Python 2.6, 2.7 or 3.1-3.3 and NumPy 1.5.1 or greater. Support for Python 2.4 and 2.5 has been dropped as of this release. Sources and binaries can be found at http://sourceforge.net/projects/scipy/files/scipy/0.13.0/, release notes are copied below. Enjoy, Ralf ========================== SciPy 0.13.0 Release Notes ========================== .. contents:: SciPy 0.13.0 is the culmination of 7 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 0.13.x branch, and on adding new features on the master branch. This release requires Python 2.6, 2.7 or 3.1-3.3 and NumPy 1.5.1 or greater. Highlights of this release are: - support for fancy indexing and boolean comparisons with sparse matrices - interpolative decompositions and matrix functions in the linalg module - two new trust-region solvers for unconstrained minimization New features ============ ``scipy.integrate`` improvements -------------------------------- N-dimensional numerical integration ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ A new function `scipy.integrate.nquad`, which provides N-dimensional integration functionality with a more flexible interface than ``dblquad`` and ``tplquad``, has been added. ``dopri*`` improvements ^^^^^^^^^^^^^^^^^^^^^^^ The intermediate results from the ``dopri`` family of ODE solvers can now be accessed by a *solout* callback function. ``scipy.linalg`` improvements ----------------------------- Interpolative decompositions ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Scipy now includes a new module `scipy.linalg.interpolative` containing routines for computing interpolative matrix decompositions (ID). This feature is based on the ID software package by P.G. Martinsson, V. Rokhlin, Y. Shkolnisky, and M. Tygert, previously adapted for Python in the PymatrixId package by K.L. Ho. Polar decomposition ^^^^^^^^^^^^^^^^^^^ A new function `scipy.linalg.polar`, to compute the polar decomposition of a matrix, was added. BLAS level 3 functions ^^^^^^^^^^^^^^^^^^^^^^ The BLAS functions ``symm``, ``syrk``, ``syr2k``, ``hemm``, ``herk`` and ``her2k`` are now wrapped in `scipy.linalg`. Matrix functions ^^^^^^^^^^^^^^^^ Several matrix function algorithms have been implemented or updated following detailed descriptions in recent papers of Nick Higham and his co-authors. These include the matrix square root (``sqrtm``), the matrix logarithm (``logm``), the matrix exponential (``expm``) and its Frechet derivative (``expm_frechet``), and fractional matrix powers (``fractional_matrix_power``). ``scipy.optimize`` improvements ------------------------------- Trust-region unconstrained minimization algorithms ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The ``minimize`` function gained two trust-region solvers for unconstrained minimization: ``dogleg`` and ``trust-ncg``. ``scipy.sparse`` improvements ----------------------------- Boolean comparisons and sparse matrices ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ All sparse matrix types now support boolean data, and boolean operations. Two sparse matrices `A` and `B` can be compared in all the expected ways `A < B`, `A >= B`, `A != B`, producing similar results as dense Numpy arrays. Comparisons with dense matrices and scalars are also supported. CSR and CSC fancy indexing ^^^^^^^^^^^^^^^^^^^^^^^^^^ Compressed sparse row and column sparse matrix types now support fancy indexing with boolean matrices, slices, and lists. So where A is a (CSC or CSR) sparse matrix, you can do things like:: >>> A[A > 0.5] = 1 # since Boolean sparse matrices work >>> A[:2, :3] = 2 >>> A[[1,2], 2] = 3 ``scipy.sparse.linalg`` improvements ------------------------------------ The new function ``onenormest`` provides a lower bound of the 1-norm of a linear operator and has been implemented according to Higham and Tisseur (2000). This function is not only useful for sparse matrices, but can also be used to estimate the norm of products or powers of dense matrices without explictly building the intermediate matrix. The multiplicative action of the matrix exponential of a linear operator (``expm_multiply``) has been implemented following the description in Al-Mohy and Higham (2011). Abstract linear operators (`scipy.sparse.linalg.LinearOperator`) can now be multiplied, added to each other, and exponentiated, producing new linear operators. This enables easier construction of composite linear operations. ``scipy.spatial`` improvements ------------------------------ The vertices of a `ConvexHull` can now be accessed via the `vertices` attribute, which gives proper orientation in 2-D. ``scipy.signal`` improvements ----------------------------- The cosine window function `scipy.signal.cosine` was added. ``scipy.special`` improvements ------------------------------ New functions `scipy.special.xlogy` and `scipy.special.xlog1py` were added. These functions can simplify and speed up code that has to calculate ``x * log(y)`` and give 0 when ``x == 0``. ``scipy.io`` improvements ------------------------- Unformatted Fortran file reader ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The new class `scipy.io.FortranFile` facilitates reading unformatted sequential files written by Fortran code. ``scipy.io.wavfile`` enhancements ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `scipy.io.wavfile.write` now accepts a file buffer. Previously it only accepted a filename. `scipy.io.wavfile.read` and `scipy.io.wavfile.write` can now handle floating point WAV files. ``scipy.interpolate`` improvements ---------------------------------- B-spline derivatives and antiderivatives ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `scipy.interpolate.splder` and `scipy.interpolate.splantider` functions for computing B-splines that represent derivatives and antiderivatives of B-splines were added. These functions are also available in the class-based FITPACK interface as ``UnivariateSpline.derivative`` and ``UnivariateSpline.antiderivative``. ``scipy.stats`` improvements ---------------------------- Distributions now allow using keyword parameters in addition to positional parameters in all methods. The function `scipy.stats.power_divergence` has been added for the Cressie-Read power divergence statistic and goodness of fit test. Included in this family of statistics is the "G-test" (http://en.wikipedia.org/wiki/G-test). `scipy.stats.mood` now accepts multidimensional input. An option was added to `scipy.stats.wilcoxon` for continuity correction. `scipy.stats.chisquare` now has an `axis` argument. `scipy.stats.mstats.chisquare` now has `axis` and `ddof` arguments. Deprecated features =================== ``expm2`` and ``expm3`` ----------------------- The matrix exponential functions `scipy.linalg.expm2` and `scipy.linalg.expm3` are deprecated. All users should use the numerically more robust `scipy.linalg.expm` function instead. ``scipy.stats`` functions ------------------------- `scipy.stats.oneway` is deprecated; `scipy.stats.f_oneway` should be used instead. `scipy.stats.glm` is deprecated. `scipy.stats.ttest_ind` is an equivalent function; more full-featured general (and generalized) linear model implementations can be found in statsmodels. `scipy.stats.cmedian` is deprecated; ``numpy.median`` should be used instead. Backwards incompatible changes ============================== LIL matrix assignment --------------------- Assigning values to LIL matrices with two index arrays now works similarly as assigning into ndarrays:: >>> x = lil_matrix((3, 3)) >>> x[[0,1,2],[0,1,2]]=[0,1,2] >>> x.todense() matrix([[ 0., 0., 0.], [ 0., 1., 0.], [ 0., 0., 2.]]) rather than giving the result:: >>> x.todense() matrix([[ 0., 1., 2.], [ 0., 1., 2.], [ 0., 1., 2.]]) Users relying on the previous behavior will need to revisit their code. The previous behavior is obtained by ``x[numpy.ix_([0,1,2],[0,1,2])] = ...`. Deprecated ``radon`` function removed ------------------------------------- The ``misc.radon`` function, which was deprecated in scipy 0.11.0, has been removed. Users can find a more full-featured ``radon`` function in scikit-image. Removed deprecated keywords ``xa`` and ``xb`` from ``stats.distributions`` -------------------------------------------------------------------------- The keywords ``xa`` and ``xb``, which were deprecated since 0.11.0, have been removed from the distributions in ``scipy.stats``. Changes to MATLAB file readers / writers ---------------------------------------- The major change is that 1D arrays in numpy now become row vectors (shape 1, N) when saved to a MATLAB 5 format file. Previously 1D arrays saved as column vectors (N, 1). This is to harmonize the behavior of writing MATLAB 4 and 5 formats, and adapt to the defaults of numpy and MATLAB - for example ``np.atleast_2d`` returns 1D arrays as row vectors. Trying to save arrays of greater than 2 dimensions in MATLAB 4 format now raises an error instead of silently reshaping the array as 2D. ``scipy.io.loadmat('afile')`` used to look for `afile` on the Python system path (``sys.path``); now ``loadmat`` only looks in the current directory for a relative path filename. Other changes ============= Security fix: ``scipy.weave`` previously used temporary directories in an insecure manner under certain circumstances. Cython is now required to build *unreleased* versions of scipy. The C files generated from Cython sources are not included in the git repo anymore. They are however still shipped in source releases. The code base received a fairly large PEP8 cleanup. A ``tox pep8`` command has been added; new code should pass this test command. Scipy cannot be compiled with gfortran 4.1 anymore (at least on RH5), likely due to that compiler version not supporting entry constructs well. Authors ======= This release contains work by the following people (contributed at least one patch to this release, names in alphabetical order): * Jorge Cañardo Alastuey + * Tom Aldcroft + * Max Bolingbroke + * Joseph Jon Booker + * François Boulogne * Matthew Brett * Christian Brodbeck + * Per Brodtkorb + * Christian Brueffer + * Lars Buitinck * Evgeni Burovski + * Tim Cera * Lawrence Chan + * David Cournapeau * Dražen Lučanin + * Alexander J. Dunlap + * endolith * André Gaul + * Christoph Gohlke * Ralf Gommers * Alex Griffing + * Blake Griffith + * Charles Harris * Bob Helmbold + * Andreas Hilboll * Kat Huang + * Oleksandr (Sasha) Huziy + * Gert-Ludwig Ingold + * Thouis (Ray) Jones * Juan Luis Cano Rodríguez + * Robert Kern * Andreas Kloeckner + * Sytse Knypstra + * Gustav Larsson + * Denis Laxalde * Christopher Lee * Tim Leslie * Wendy Liu + * Clemens Novak + * Takuya Oshima + * Josef Perktold * Illia Polosukhin + * Przemek Porebski + * Steve Richardson + * Branden Rolston + * Skipper Seabold * Fazlul Shahriar * Leo Singer + * Rohit Sivaprasad + * Daniel B. Smith + * Julian Taylor * Louis Thibault + * Tomas Tomecek + * John Travers * Richard Tsai + * Jacob Vanderplas * Patrick Varilly * Pauli Virtanen * Stefan van der Walt * Warren Weckesser * Pedro Werneck + * Nils Werner + * Michael Wimmer + * Nathan Woods + * Tony S. Yu + A total of 65 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

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ANN: EditXT 1.3.2
by Daniel Miller 19 Oct '13

19 Oct '13

Introducing EditXT 1.3.2 - a programmer's text editor for Mac OS X ================================================================== Download it from GitHub: https://github.com/editxt/editxt/releases/tag/1.3.2 Features: - Syntax highlighting for Python and JavaScript (more definitions can be added). - Find/Replace with regular expression support and other conveniences. - Command bar to execute commands without using the mouse. - Smart indent/dedent with tabs or spaces. - Comment/uncomment selection. - Word wrap. - Line numbers. - Cursor position/selection length indicator. - Unix/Mac/Windows line ending support. - Document pane with drag/drop support. - Undo beyond save and beyond auto-reload on external change. - Persistent projects (cannot save project as file yet). - Preliminary support for character encodings other than UTF-8. - Sort lines tool. - Licensed under GPLv3 (source code available at http://editxt.org/) - Over 2000 tests (OK, not really a feature) About this release: =================== - Use SafeDump to dump editor config files (preparation for v1.4). 1.3.1 changes: - Fix bug that prevented replace with nothing (empty string).

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CFP: SciPy India 2013: Dec 13 - 15, IIT Bombay
by Prabhu Ramachandran 15 Oct '13

15 Oct '13

Hello, The CFP and registration for SciPy India 2013 (http://scipy.in) is open. SciPy India 2013 will be held in IIT Bombay between December 13th to December 15th, 2013. Please spread the word! SciPy India is an annual conference on using Python for science and engineering research and education. The conference is currently in its fifth year and provides an opportunity to learn and implement Python in education and research. Call for Papers ================ We look forward to your submissions on the use of Python for scientific computing and education. This includes pedagogy, exploration, modeling and analysis from both applied and developmental perspectives. We welcome contributions from academia as well as industry. For details on the paper submission please see here: http://scipy.in/2013/call-for-proposals/ Important Dates ================ - Call for proposals end: 24th November 2013 - List of accepted proposals will be published: 1st December 2013. We look forward to seeing you at SciPy India. Regards, Prabhu Ramachandran and Jarrod Millman

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Vancouver Python Day - Talk Proposal Deadline
by Andy McKay 15 Oct '13

15 Oct '13

We've just set the deadline for Vancouver Python Day talk proposal submissions. All talk proposals must be submitted by *Thursday, October 17, 2013 at 23:59 Pacific Time*. See https://github.com/andymckay/vancouver-python-day for instructions on submitting a talk proposal. All Python-related topics are welcome -- including Django! In case you haven't heard, *Vancouver Python Day* is a one-day mini conference celebrating the Python Developer Community in Vancouver. It will be held on *Saturday, November 16, 2013* at SFU Harbour Centre. Stay tuned for another announcement soon regarding ticket availability. In the meantime, mark your calendar! Andy

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[ANN] jsonrpclib-pelix 0.1.6
by Thomas Calmant 14 Oct '13

14 Oct '13

====================== jsonrpclib-pelix 0.1.6 ====================== jsonrpclib-pelix v0.1.6 has been released ! About jsonrpclib-pelix ====================== This library is an implementation of the JSON-RPC specification. It supports both the original 1.0 specification, as well as the 2.0 specification, which includes batch submission, keyword arguments, etc. This is a patched version of the original jsonrpclib project by Josh Marshall, available at https://github.com/joshmarshall/jsonrpclib. The suffix -pelix only indicates that this version works with Pelix Remote Services, but it is not a Pelix specific implementation. jsonrpclib-pelix supports both Python 2 (tested on 2.7) and Python 3 (tested on 3.2). It is licensed under the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0.html). What's new in 0.1.6 =================== - Corrected a bug in the unmarshalling process: now beans can be correctly used in RPC - Corrected a bug on Python 2.7: the io module was imported instead of StringIO - The configuration of a jsonrpclib server or client can now be an instance of the Config class, instead of using a singleton. This allows to use mutliple servers/clients with different configurations. jsonrpclib-pelix is available on : - PyPI: https://pypi.python.org/pypi/jsonrpclib-pelix/0.1.6 - Github: https://github.com/tcalmant/jsonrpclib Have fun ! Thomas

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ANN: dh-virtualenv 0.5 released
by Jyrki Pulliainen 10 Oct '13

10 Oct '13

Hi, We (Spotify) have released the first public release of dh-virtualenv, a packaging tool that makes it possible to package virtualenvs inside Debian packaging. dh-virtualenv works by registering itself as a part of debhelper sequence, so pretty much any pre-existing Debian build system you have should be compatible with it. dh-virtualenv is released under GPL version 2 or later. Source code for it can be found here: https://github.com/spotify/dh-virtualenv Documentation: http://dh-virtualenv.readthedocs.org/en/latest/ ..and the accompanying release blog post: http://labs.spotify.com/2013/10/10/packaging-in-your-packaging-dh-virtualen… Cheers, Jyrki Pulliainen Software engineer @ Spotify

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ANN: matplotlib 1.3.1
by Michael Droettboom 10 Oct '13

10 Oct '13

I'm pleased to announce the release of matplotlib version 1.3.1. This is a bugfix release. It may be downloaded from here, or installed through the package manager of your choice (when available): http://matplotlib.org/downloads The changelog is copied below: New in 1.3.1 ------------ 1.3.1 is a bugfix release, primarily dealing with improved setup and handling of dependencies, and correcting and enhancing the documentation. The following changes were made in 1.3.1 since 1.3.0. Enhancements ```````````` - Added a context manager for creating multi-page pdfs (see `matplotlib.backends.backend_pdf.PdfPages`). - The WebAgg backend should no have lower latency over heterogeneous Internet connections. Bug fixes ````````` - Histogram plots now contain the endline. - Fixes to the Molleweide projection. - Handling recent fonts from Microsoft and Macintosh-style fonts with non-ascii metadata is improved. - Hatching of fill between plots now works correctly in the PDF backend. - Tight bounding box support now works in the PGF backend. - Transparent figures now display correctly in the Qt4Agg backend. - Drawing lines from one subplot to another now works. - Unit handling on masked arrays has been improved. Setup and dependencies `````````````````````` - Now works with any version of pyparsing 1.5.6 or later, without displaying hundreds of warnings. - Now works with 64-bit versions of Ghostscript on MS-Windows. - When installing from source into an environment without Numpy, Numpy will first be downloaded and built and then used to build matplotlib. - Externally installed backends are now always imported using a fully-qualified path to the module. - Works with newer version of wxPython. - Can now build with a PyCXX installed globally on the system from source. - Better detection of Gtk3 dependencies. Testing ``````` - Tests should now work in non-English locales. - PEP8 conformance tests now report on locations of issues. Mike -- _ |\/|o _|_ _. _ | | \.__ __|__|_|_ _ _ ._ _ | ||(_| |(_|(/_| |_/|(_)(/_|_ |_|_)(_)(_)| | | http://www.droettboom.com

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