On Sun, Nov 13, 2011 at 12:19 PM, Ralf Gommers <ralf.gomm...@googlemail.com>wrote:
> Hi all, > > I am pleased to announce the availability of SciPy 0.10.0. For this > release over a 100 tickets and pull requests have been closed, and many new > features have been added. Some of the highlights are: > > - support for Bento as a build system for scipy > - generalized and shift-invert eigenvalue problems in sparse.linalg > - addition of discrete-time linear systems in the signal module > > Sources and binaries can be found at , release notes are copied below. > > Enjoy, > The SciPy developers > > > > ========================== > SciPy 0.10.0 Release Notes > ========================== > > .. contents:: > > SciPy 0.10.0 is the culmination of 8 months of hard work. It contains > many new features, numerous bug-fixes, improved test coverage and > better documentation. There have been a limited number of deprecations > and backwards-incompatible 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 0.10.x > branch, and on adding new features on the development master branch. > > Release highlights: > > - Support for Bento as optional build system. > - Support for generalized eigenvalue problems, and all shift-invert modes > available in ARPACK. > > This release requires Python 2.4-2.7 or 3.1- and NumPy 1.5 or greater. > > > New features > ============ > > Bento: new optional build system > -------------------------------- > > Scipy can now be built with `Bento <http://cournape.github.com/Bento/>`_. > Bento has some nice features like parallel builds and partial rebuilds, > that > are not possible with the default build system (distutils). For usage > instructions see BENTO_BUILD.txt in the scipy top-level directory. > > Currently Scipy has three build systems, distutils, numscons and bento. > Numscons is deprecated and is planned and will likely be removed in the > next > release. > > > Generalized and shift-invert eigenvalue problems in ``scipy.sparse.linalg`` > --------------------------------------------------------------------------- > > The sparse eigenvalue problem solver functions > ``scipy.sparse.eigs/eigh`` now support generalized eigenvalue > problems, and all shift-invert modes available in ARPACK. > > > Discrete-Time Linear Systems (``scipy.signal``) > ----------------------------------------------- > > Support for simulating discrete-time linear systems, including > ``scipy.signal.dlsim``, ``scipy.signal.dimpulse``, and > ``scipy.signal.dstep``, > has been added to SciPy. Conversion of linear systems from > continuous-time to > discrete-time representations is also present via the > ``scipy.signal.cont2discrete`` function. > > > Enhancements to ``scipy.signal`` > -------------------------------- > > A Lomb-Scargle periodogram can now be computed with the new function > ``scipy.signal.lombscargle``. > > The forward-backward filter function ``scipy.signal.filtfilt`` can now > filter the data in a given axis of an n-dimensional numpy array. > (Previously it only handled a 1-dimensional array.) Options have been > added to allow more control over how the data is extended before filtering. > > FIR filter design with ``scipy.signal.firwin2`` now has options to create > filters of type III (zero at zero and Nyquist frequencies) and IV (zero at > zero > frequency). > > > Additional decomposition options (``scipy.linalg``) > --------------------------------------------------- > > A sort keyword has been added to the Schur decomposition routine > (``scipy.linalg.schur``) to allow the sorting of eigenvalues in > the resultant Schur form. > > Additional special matrices (``scipy.linalg``) > ---------------------------------------------- > > The functions ``hilbert`` and ``invhilbert`` were added to > ``scipy.linalg``. > > > Enhancements to ``scipy.stats`` > ------------------------------- > > * The *one-sided form* of Fisher's exact test is now also implemented in > ``stats.fisher_exact``. > * The function ``stats.chi2_contingency`` for computing the chi-square > test of > independence of factors in a contingency table has been added, along with > the related utility functions ``stats.contingency.margins`` and > ``stats.contingency.expected_freq``. > > > Basic support for Harwell-Boeing file format for sparse matrices > ---------------------------------------------------------------- > > Both read and write are support through a simple function-based API, as > well as > a more complete API to control number format. The functions may be found in > scipy.sparse.io. > > The following features are supported: > > * Read and write sparse matrices in the CSC format > * Only real, symmetric, assembled matrix are supported (RUA format) > > > Deprecated features > =================== > > ``scipy.maxentropy`` > -------------------- > > The maxentropy module is unmaintained, rarely used and has not been > functioning > well for several releases. Therefore it has been deprecated for this > release, > and will be removed for scipy 0.11. Logistic regression in scikits.learn > is a > good alternative for this functionality. The > ``scipy.maxentropy.logsumexp`` > function has been moved to ``scipy.misc``. > > > ``scipy.lib.blas`` > ------------------ > > There are similar BLAS wrappers in ``scipy.linalg`` and ``scipy.lib``. > These > have now been consolidated as ``scipy.linalg.blas``, and > ``scipy.lib.blas`` is > deprecated. > > > Numscons build system > --------------------- > > The numscons build system is being replaced by Bento, and will be removed > in > one of the next scipy releases. > > > Backwards-incompatible changes > ============================== > > The deprecated name `invnorm` was removed from > ``scipy.stats.distributions``, > this distribution is available as `invgauss`. > > The following deprecated nonlinear solvers from ``scipy.optimize`` have > been > removed:: > > - ``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``) > > > Other changes > ============= > > ``scipy.constants`` has been updated with the CODATA 2010 constants. > > ``__all__`` dicts have been added to all modules, which has cleaned up the > namespaces (particularly useful for interactive work). > > An API section has been added to the documentation, giving recommended > import > guidelines and specifying which submodules are public and which aren't. > > > Authors > ======= > > This release contains work by the following people (contributed at least > one patch to this release, names in alphabetical order): > > * Jeff Armstrong + > * Matthew Brett > * Lars Buitinck + > * David Cournapeau > * FI$H 2000 + > * Michael McNeil Forbes + > * Matty G + > * Christoph Gohlke > * Ralf Gommers > * Yaroslav Halchenko > * Charles Harris > * Thouis (Ray) Jones + > * Chris Jordan-Squire + > * Robert Kern > * Chris Lasher + > * Wes McKinney + > * Travis Oliphant > * Fabian Pedregosa > * Josef Perktold > * Thomas Robitaille + > * Pim Schellart + > * Anthony Scopatz + > * Skipper Seabold + > * Fazlul Shahriar + > * David Simcha + > * Scott Sinclair + > * Andrey Smirnov + > * Collin RM Stocks + > * Martin Teichmann + > * Jake Vanderplas + > * Gaƫl Varoquaux + > * Pauli Virtanen > * Stefan van der Walt > * Warren Weckesser > * Mark Wiebe + > > A total of 35 people contributed to this release. > People with a "+" by their names contributed a patch for the first time. > > > Congratulations to all. This looks like a nice release. Chuck
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