🌐 Mailman 3 May 2014 - Python-announce-list - python.org

ANN: Weave 0.15.0 release
by Ralf Gommers May 11, 2014

May 11, 2014

Hi, I'm pleased to announce the release of Weave 0.15.0. Weave provides tools for including C/C++ code within Python code. Inlining C/C++ code within Python generally results in speedups of 1.5x to 30x over algorithms written in pure Python. Weave is the stand-alone version of the deprecated Scipy submodule scipy.weave. It is Python 2.x only, and is provided for users that need new versions of Scipy (from which the weave submodule will be removed in the future) but have existing code that still depends on scipy.weave. For new code, users are recommended to use Cython. Weave 0.15.0 is the first release of Weave as a standalone package. It is numbered 0.15.0, because it was split from Scipy after the 0.14.0 release of that package. No new functionality is included in this release compared to Scipy 0.14.0, only changes needed to make Weave a standalone package. This release requires Python 2.6 or 2.7. The source code can be found on https://github.com/scipy/weave and the release itself on PyPi: https://pypi.python.org/pypi/weave Note that the Scipy developers are not planning to make any further improvements to Weave. They may however merge pull requests and create maintenance releases for urgent issues. If someone is interested in maintaining Weave, that would be very welcome. Questions and discussions relating to Weave should be directed to the scipy-dev mailing list (see http://scipy.org/scipylib/mailing-lists.html). Cheers, Ralf

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ANN: Cerridwen 1.0c4
by Leslie P. Polzer May 11, 2014

May 11, 2014

Dear Python friends, today I'm proud to be ANNOUNCING: The initial release of a new package, named Cerridwen (1.0c4). PyPI entry: https://pypi.python.org/pypi/cerridwen What gives? The author perceives a lack of modern open source software providing high quality planetary data that is suitable for astronomical and astrological purposes. So, to start amending that situation I wrote Cerridwen. Cerridwen is a moon data API relying on pyswisseph and numpy to provide accurate and comprehensive data on the moon. With its help you will, for example, be able to get the moon's current tropical sign, the dates of the next new and full moons and its current absolute and relative diameter. Cerridwen offers a JSON HTTP API and comes a simple command-line tool. These are built on a library module that you can use to develop your own applications. And you're invited too! Please try it if you're interested! :-) I've also set up a test server for the API here: http://cerridwen.viridian-project.de/api/v1/moon You can load it in your browser too for a quick peek! Please note that the given information may be up to 10 seconds old, due to efficiency considerations in the current version of Cerridwen. All feedback and participation is welcome, including forks and patches. Cerridwen's code is on Github. Need more information? Please do take a look at the PyPI page, it contains more detailed information. Also feel free to write to me at <leslie.polzer(a)gmx.net>. Thanks for reading! With Cerridwen I'm trying to give something back to the Python community. This is my first publicly released Python package. Cheers, Leslie

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ANN: verynice 0.3 - a nice(1) like utility for throttling processes
by garabik-news-2005-05＠kassiopeia.juls.savba.sk May 10, 2014

May 10, 2014

verynice is a nice(1)-like command line utility for unix systems to throttle long running processes beyond what can be achieved by nice(1), by repeatedly suspending and resuming the process. Author: Radovan Garabík URL: http://kassiopeia.juls.savba.sk/~garabik/software/verynice/ License: GPL (v3) -- ----------------------------------------------------------- | Radovan Garabík http://kassiopeia.juls.savba.sk/~garabik/ | | __..--^^^--..__ garabik @ kassiopeia.juls.savba.sk | ----------------------------------------------------------- Antivirus alert: file .signature infected by signature virus. Hi! I'm a signature virus! Copy me into your signature file to help me spread!

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py2exe for Python 3 released
by Thomas Heller May 9, 2014

May 9, 2014

Finally there is py2exe for Python3! `py2exe` is a distutils extension which allows to build standalone Windows executable programs (32-bit and 64-bit) from Python scripts; Python 3.3 and later are supported. It can build console executables, windows (GUI) executables, windows services, and DLL/EXE COM servers. News: - py2exe now supports Python 3.3 and 3.4 - can be installed with 'pip' since py2exe is released in wheel format (in addition to a source package and bdist_wininst installers) - less warnings from the build process thanks to a hooks module which contains knowledge about some often used packages - easy start: executables can now be built with a simple command line script; no need to write a setup-script from scratch. In fact a commented setup-script can now be autogenerated - py2exe does now find Python modules even in zipped eggs Short manual and download at the Python cheeseshop (or simply install it with 'pip install py2exe'): https://pypi.python.org/pypi/py2exe/0.9.2.0/ Enjoy, Thomas

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StoryText 3.11 - GUI testing tool
by Geoff Bache May 7, 2014

May 7, 2014

Hi all, The 3.11 release features the following: - PyGTK part now supports FileChooser synchronisation in GTK+ >= 2.20 - Java GUI parts (SWT/Eclipse/Swing) can now disable Jython cache (recommended) - Eclipse RCP part now handles the latest Jython version (2.5.3) - Eclipse RCP part now supports NatTables - Swing part now works around Abbot bug with closing windows being very slow Regards, Geoff Bache A bit more detail: StoryText is an unconventional GUI testing tool for PyGTK, Tkinter, wxPython, Swing and SWT along with a Python framework for testing GUIs in general. Instead of recording GUI mechanics directly, it asks the user for descriptive names and hence builds up a "domain language" along with a "UI map file" that translates this language into actions on the current GUI widgets. The point is to reduce coupling, allow very expressive tests, and ensure that GUI changes mean changing the UI map file but not all the tests. Instead of an "assertion" mechanism, it auto-generates a log of the GUI appearance and changes to it. The point is then to use that as a baseline for text-based testing, using TextTest. It also includes support for instrumenting code so that "waits" can be recorded, making it far easier for a tester to record correctly synchronized tests without having to explicitly plan for this. Homepage: http://www.texttest.org/index.php?page=ui_testing Download: http://sourceforge.net/projects/pyusecase Mailing list: https://lists.sourceforge.net/lists/listinfo/texttest-users Bugs: https://bugs.launchpad.net/storytext/ Source: https://code.launchpad.net/sto<https://code.launchpad.net/storytext/> rytext

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Jython 2.7b2 released!
by fwierzbicki＠gmail.com May 6, 2014

May 6, 2014

On behalf of the Jython development team, I'm pleased to announce that the second beta of Jython 2.7 is available. Details are here: http://fwierzbicki.blogspot.com/2014/05/jython-27-beta2-released.html Thanks to Adconion Media Group for sponsoring my work on Jython, and thanks to the many contributors to Jython! -Frank

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Nose 1.3.3 Released
by John Szakmeister May 6, 2014

May 6, 2014

Nose 1.3.3 fixes a simple issue with the reported version number. Sorry for the back-to-back releases. Enjoy! -John

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ANN: dnslib-0.9.0 - DNS library for Python (with Py2/3 support)
by Paul Chakravarti May 5, 2014

May 5, 2014

Hello, I have just uploaded a new version of 'dnslib' to PyPi: https://pypi.python.org/pypi/dnslib/0.9.0 'dnslib' is a simple but very flexible library for encoding & decoding DNS data and creating custom DNS resolvers for Python 2/3. This is the first version that supports Python 3.2+ (and 2.7) and also includes a large number of fixes and additional functionality. (README included below). This is a major release - please submit any issues to the BitBucket issue tracker (https://bitbucket.org/paulc/dnslib). Thanks, PaulC dnslib ------ A library to encode/decode DNS wire-format packets supporting both Python 2.7 and Python 3.2+. The library provides: * Support for encoding/decoding DNS packets between wire format, python objects, and Zone/DiG textual representation (dnslib.dns) * A server framework allowing the simple creation of custom DNS resolvers (dnslib.server) and a number of example servers created using this frameowork * A number of utilities for testing (dnslib.client, dnslib.proxy, dnslib.intercept) Python 3 support was added in Version 0.9.0 which represented a fairly major update to the library - the key changes include: * Python 2.7/3.2+ support (the last version supporting Python 2.6 or earlier was version 0.8.3) * Support for encoding/decoding resource records in 'Zone' (BIND) file format * Support for encoding/decoding backets in 'DiG' format * Server framework allowing (in most cases) custom resolvers to be created by just subclassing the DNSResolver class and overringing the 'resolve' method * A lot of fixes to error detection/handling which should make the library much more robust to invalid/unsupported data. The library should now either return a valid DNSRecord instance or raise DNSError (tested via fuzzing) * Improved utilities (dnslib.client, dnslib.proxy, dnslib.intercept) * Improvements to encoding/decoding tests including the ability to generate test data automatically in test_decode.py (comparing outputs against DiG) * Ability to compare and diff DNSRecords This is a large release and despite the testing there therefore are likely to be some bugs. Once the 0.9 release is sufficiently stable I would expect to release as 1.0.0 (and stabilise th api) The key DNS packet handling classes are in dnslib.dns and map to the standard DNS packet sections: * DNSRecord - container for DNS packet. Contains: - DNSHeader - Question section containing zero or more DNSQuestion objects - Answer section containing zero or more RR objects - Authority section containing zero or more RR objects - Additional section containing zero or more RR objects * DNS RRs (resource records) contain an RR header and an RD object) * Specific RD types are implemented as subclasses of RD * DNS labels are represented by a DNSLabel class - in most cases this handles conversion to/from textual representation however does support arbitatry labels via a tuple of bytes objects) Version 0.9 of the library was a major rewrite to support Python 3.2+ (retaining support for Python 2.7+). As part of the Py3 changes a number of other significant changes were intrtoduced: - Much better error handling (packet decoding errors should be caught and DNSError raised) Usage: ------ To decode a DNS packet: >>> packet = binascii.unhexlify(b'd5ad818000010005000000000377777706676f6f676c6503636f6d0000010001c00c0005000100000005000803777777016cc010c02c0001000100000005000442f95b68c02c0001000100000005000442f95b63c02c0001000100000005000442f95b67c02c0001000100000005000442f95b93') >>> d = DNSRecord.parse(packet) >>> d <DNS Header: id=0xd5ad type=RESPONSE opcode=QUERY flags=RD,RA rcode='NOERROR' q=1 a=5 ns=0 ar=0> <DNS Question: 'www.google.com.' qtype=A qclass=IN> <DNS RR: 'www.google.com.' rtype=CNAME rclass=IN ttl=5 rdata='www.l.google.com.'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.104'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.99'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.103'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.147'> The default text representation of the DNSRecord is in zone file format: >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 54701 ;; flags: qr rd ra; QUERY: 1, ANSWER: 5, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;www.google.com. IN A ;; ANSWER SECTION: www.google.com. 5 IN CNAME www.l.google.com. www.l.google.com. 5 IN A 66.249.91.104 www.l.google.com. 5 IN A 66.249.91.99 www.l.google.com. 5 IN A 66.249.91.103 www.l.google.com. 5 IN A 66.249.91.147 To create a DNS Request Packet: >>> d = DNSRecord.question("google.com") (This is equivalent to: d = DNSRecord(q=DNSQuestion("google.com") ) >>> d <DNS Header: id=... type=QUERY opcode=QUERY flags=RD rcode='NOERROR' q=1 a=0 ns=0 ar=0> <DNS Question: 'google.com.' qtype=A qclass=IN> >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: rd; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;google.com. IN A >>> d = DNSRecord.question("google.com","MX") (This is equivalent to: d = DNSRecord(q=DNSQuestion("google.com",QTYPE.MX) ) >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: rd; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;google.com. IN MX To create a DNS Response Packet: >>> d = DNSRecord(DNSHeader(qr=1,aa=1,ra=1), ... q=DNSQuestion("abc.com"), ... a=RR("abc.com",rdata=A("1.2.3.4"))) >>> d <DNS Header: id=... type=RESPONSE opcode=QUERY flags=AA,RD,RA rcode='NOERROR' q=1 a=1 ns=0 ar=0> <DNS Question: 'abc.com.' qtype=A qclass=IN> <DNS RR: 'abc.com.' rtype=A rclass=IN ttl=0 rdata='1.2.3.4'> >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN A ;; ANSWER SECTION: abc.com. 0 IN A 1.2.3.4 It is also possible to create RRs from a string in zone file format >>> RR.fromZone("abc.com IN A 1.2.3.4") [<DNS RR: 'abc.com.' rtype=A rclass=IN ttl=0 rdata='1.2.3.4'>] (Note: this produces a list of RRs which should be unpacked if being passed to add_answer/add_auth/add_ar etc) >>> q = DNSRecord.question("abc.com") >>> a = q.reply() >>> a.add_answer(*RR.fromZone("abc.com 60 A 1.2.3.4")) >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN A ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 The zone file can contain multiple entries and supports most of the normal format defined in RFC1035 (specifically not $INCLUDE) >>> z = ''' ... $TTL 300 ... $ORIGIN abc.com ... ... @ IN MX 10 mail.abc.com. ... www IN A 1.2.3.4 ... IN TXT "Some Text" ... mail IN CNAME www.abc.com. ... ''' >>> for rr in RR.fromZone(textwrap.dedent(z)): ... print(rr) abc.com. 300 IN MX 10 mail.abc.com. www.abc.com. 300 IN A 1.2.3.4 www.abc.com. 300 IN TXT "Some Text" mail.abc.com. 300 IN CNAME www.abc.com. To create a skeleton reply to a DNS query: >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.reply() >>> a.add_answer(RR("abc.com",QTYPE.A,rdata=A("1.2.3.4"),ttl=60)) >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 Add additional RRs: >>> a.add_answer(RR("xxx.abc.com",QTYPE.A,rdata=A("1.2.3.4"))) >>> a.add_answer(RR("xxx.abc.com",QTYPE.AAAA,rdata=AAAA("1234:5678::1"))) >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 3, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 xxx.abc.com. 0 IN A 1.2.3.4 xxx.abc.com. 0 IN AAAA 1234:5678::1 It is also possible to create a reply from a string in zone file format: >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.replyZone("abc.com 60 IN CNAME xxx.abc.com") >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN CNAME xxx.abc.com. >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.replyZone(textwrap.dedent(z)) >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 4, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 300 IN MX 10 mail.abc.com. www.abc.com. 300 IN A 1.2.3.4 www.abc.com. 300 IN TXT "Some Text" mail.abc.com. 300 IN CNAME www.abc.com. The library also includes a simple framework for generating custom DNS resolvers in dnslib.server (see module docs). In post cases this just requires implementing a custom 'resolve' method which receives a question object and returns a response. A number of sample resolvers are provided as examples (see CLI --help): dnslib.fixedresolver - Respond to all requests with fixed response dnslib.zoneresolver - Respond from Zone file dnslib.shellresolver - Call shell script to generate response The library includes a number of client utilities which can be run using: DiG like client library # python -m dnslib.client --help DNS Proxy Server # python -m dnslib.proxy --help Intercepting DNS Proxy Server (replace proxy responses for specified domains) # python -m dnslib.intercept --help Changelog: ---------- * 0.1 2010-09-19 Initial Release * 0.2 2010-09-22 Minor fixes * 0.3 2010-10-02 Add DNSLabel class to support arbitrary labels (embedded '.') * 0.4 2012-02-26 Merge with dbslib-circuits * 0.5 2012-09-13 Add support for RFC2136 DDNS updates Patch provided by Wesley Shields <wxs(a)FreeBSD.org> - thanks * 0.6 2012-10-20 Basic AAAA support * 0.7 2012-10-20 Add initial EDNS0 support (untested) * 0.8 2012-11-04 Add support for NAPTR, Authority RR and additional RR Patch provided by Stefan Andersson (https://bitbucket.org/norox) - thanks * 0.8.1 2012-11-05 Added NAPTR test case and fixed logic error Patch provided by Stefan Andersson (https://bitbucket.org/norox) - thanks * 0.8.2 2012-11-11 Patch to fix IPv6 formatting Patch provided by Torbjörn Lönnemark (https://bitbucket.org/tobbezz) - thanks * 0.8.3 2013-04-27 Don't parse rdata if rdlength is 0 Patch provided by Wesley Shields <wxs(a)FreeBSD.org> - thanks * 0.9.0 2014-05-05 Major update including Py3 support (see docs) License: -------- * BSD Author: ------- * Paul Chakravarti (paul.chakravarti(a)gmail.com) Master Repository/Issues: ------------------------- * https://bitbucket.org/paulc/dnslib (Cloned on GitHub: https://github.com/paulchakravarti/dnslib)

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[RELEASED] Python 3.4.1rc1
by Larry Hastings May 5, 2014

May 5, 2014

On behalf of the Python development community and the Python 3.4 release team, I'm pleased to announce the availability of Python 3.4.1rc1. Python 3.4.1rc1 has over three hundred bugfixes and other improvements over 3.4.0. One notable change: the version of OpenSSL bundled with the Windows installer no longer has the "HeartBleed" vulnerability. You can download it here: https://www.python.org/download/releases/3.4.1 One note: the "topics" data file for the pydoc is broken in this release. This means the pydoc command and the built-in "help" will fail on some topics. //arry/

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ANN: Scipy 0.14.0 release
by Ralf Gommers May 4, 2014

May 4, 2014

Hi, On behalf of the Scipy development team I'm pleased to announce the availability of Scipy 0.14.0. This release contains new features (see release notes below) and 8 months worth of maintenance work. 80 people contributed to this release. This is also the first release for which binary wheels are available on PyPi for OS X, supporting the python.org Python. Wheels for Windows are still being worked on, those may follow at a later date. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.5.1 or greater. Sources and binaries can be found at https://sourceforge.net/projects/scipy/files/scipy/0.14.0/. Enjoy, Ralf ========================== SciPy 0.14.0 Release Notes ========================== .. contents:: SciPy 0.14.0 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 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 0.14.x branch, and on adding new features on the master branch. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.5.1 or greater. New features ============ ``scipy.interpolate`` improvements ---------------------------------- A new wrapper function `scipy.interpolate.interpn` for interpolation on regular grids has been added. `interpn` supports linear and nearest-neighbor interpolation in arbitrary dimensions and spline interpolation in two dimensions. Faster implementations of piecewise polynomials in power and Bernstein polynomial bases have been added as `scipy.interpolate.PPoly` and `scipy.interpolate.BPoly`. New users should use these in favor of `scipy.interpolate.PiecewisePolynomial`. `scipy.interpolate.interp1d` now accepts non-monotonic inputs and sorts them. If performance is critical, sorting can be turned off by using the new ``assume_sorted`` keyword. Functionality for evaluation of bivariate spline derivatives in ``scipy.interpolate`` has been added. The new class `scipy.interpolate.Akima1DInterpolator` implements the piecewise cubic polynomial interpolation scheme devised by H. Akima. Functionality for fast interpolation on regular, unevenly spaced grids in arbitrary dimensions has been added as `scipy.interpolate.RegularGridInterpolator` . ``scipy.linalg`` improvements ----------------------------- The new function `scipy.linalg.dft` computes the matrix of the discrete Fourier transform. A condition number estimation function for matrix exponential, `scipy.linalg.expm_cond`, has been added. ``scipy.optimize`` improvements ------------------------------- A set of benchmarks for optimize, which can be run with ``optimize.bench()``, has been added. `scipy.optimize.curve_fit` now has more controllable error estimation via the ``absolute_sigma`` keyword. Support for passing custom minimization methods to ``optimize.minimize()`` and ``optimize.minimize_scalar()`` has been added, currently useful especially for combining ``optimize.basinhopping()`` with custom local optimizer routines. ``scipy.stats`` improvements ---------------------------- A new class `scipy.stats.multivariate_normal` with functionality for multivariate normal random variables has been added. A lot of work on the ``scipy.stats`` distribution framework has been done. Moment calculations (skew and kurtosis mainly) are fixed and verified, all examples are now runnable, and many small accuracy and performance improvements for individual distributions were merged. The new function `scipy.stats.anderson_ksamp` computes the k-sample Anderson-Darling test for the null hypothesis that k samples come from the same parent population. ``scipy.signal`` improvements ----------------------------- ``scipy.signal.iirfilter`` and related functions to design Butterworth, Chebyshev, elliptical and Bessel IIR filters now all use pole-zero ("zpk") format internally instead of using transformations to numerator/denominator format. The accuracy of the produced filters, especially high-order ones, is improved significantly as a result. The new function `scipy.signal.vectorstrength` computes the vector strength, a measure of phase synchrony, of a set of events. ``scipy.special`` improvements ------------------------------ The functions `scipy.special.boxcox` and `scipy.special.boxcox1p`, which compute the Box-Cox transformation, have been added. ``scipy.sparse`` improvements ----------------------------- - Significant performance improvement in CSR, CSC, and DOK indexing speed. - When using Numpy >= 1.9 (to be released in MM 2014), sparse matrices function correctly when given to arguments of ``np.dot``, ``np.multiply`` and other ufuncs. With earlier Numpy and Scipy versions, the results of such operations are undefined and usually unexpected. - Sparse matrices are no longer limited to ``2^31`` nonzero elements. They automatically switch to using 64-bit index data type for matrices containing more elements. User code written assuming the sparse matrices use int32 as the index data type will continue to work, except for such large matrices. Code dealing with larger matrices needs to accept either int32 or int64 indices. Deprecated features =================== ``anneal`` ---------- The global minimization function `scipy.optimize.anneal` is deprecated. All users should use the `scipy.optimize.basinhopping` function instead. ``scipy.stats`` --------------- ``randwcdf`` and ``randwppf`` functions are deprecated. All users should use distribution-specific ``rvs`` methods instead. Probability calculation aliases ``zprob``, ``fprob`` and ``ksprob`` are deprecated. Use instead the ``sf`` methods of the corresponding distributions or the ``special`` functions directly. ``scipy.interpolate`` --------------------- ``PiecewisePolynomial`` class is deprecated. Backwards incompatible changes ============================== scipy.special.lpmn ------------------ ``lpmn`` no longer accepts complex-valued arguments. A new function ``clpmn`` with uniform complex analytic behavior has been added, and it should be used instead. scipy.sparse.linalg ------------------- Eigenvectors in the case of generalized eigenvalue problem are normalized to unit vectors in 2-norm, rather than following the LAPACK normalization convention. The deprecated UMFPACK wrapper in ``scipy.sparse.linalg`` has been removed due to license and install issues. If available, ``scikits.umfpack`` is still used transparently in the ``spsolve`` and ``factorized`` functions. Otherwise, SuperLU is used instead in these functions. scipy.stats ----------- The deprecated functions ``glm``, ``oneway`` and ``cmedian`` have been removed from ``scipy.stats``. ``stats.scoreatpercentile`` now returns an array instead of a list of percentiles. scipy.interpolate ----------------- The API for computing derivatives of a monotone piecewise interpolation has changed: if `p` is a ``PchipInterpolator`` object, `p.derivative(der)` returns a callable object representing the derivative of `p`. For in-place derivatives use the second argument of the `__call__` method: `p(0.1, der=2)` evaluates the second derivative of `p` at `x=0.1`. The method `p.derivatives` has been removed. Other changes ============= Authors ======= * Marc Abramowitz + * Anders Bech Borchersen + * Vincent Arel-Bundock + * Petr Baudis + * Max Bolingbroke * François Boulogne * Matthew Brett * Lars Buitinck * Evgeni Burovski * CJ Carey + * Thomas A Caswell + * Pawel Chojnacki + * Phillip Cloud + * Stefano Costa + * David Cournapeau * David Menendez Hurtado + * Matthieu Dartiailh + * Christoph Deil + * Jörg Dietrich + * endolith * Francisco de la Peña + * Ben FrantzDale + * Jim Garrison + * André Gaul * Christoph Gohlke * Ralf Gommers * Robert David Grant * Alex Griffing * Blake Griffith * Yaroslav Halchenko * Andreas Hilboll * Kat Huang * Gert-Ludwig Ingold * James T. Webber + * Dorota Jarecka + * Todd Jennings + * Thouis (Ray) Jones * Juan Luis Cano Rodríguez * ktritz + * Jacques Kvam + * Eric Larson + * Justin Lavoie + * Denis Laxalde * Jussi Leinonen + * lemonlaug + * Tim Leslie * Alain Leufroy + * George Lewis + * Max Linke + * Brandon Liu + * Benny Malengier + * Matthias Kümmerer + * Cimarron Mittelsteadt + * Eric Moore * Andrew Nelson + * Niklas Hambüchen + * Joel Nothman + * Clemens Novak * Emanuele Olivetti + * Stefan Otte + * peb + * Josef Perktold * pjwerneck * poolio * Jérôme Roy + * Carl Sandrock + * Andrew Sczesnak + * Shauna + * Fabrice Silva * Daniel B. Smith * Patrick Snape + * Thomas Spura + * Jacob Stevenson * Julian Taylor * Tomas Tomecek * Richard Tsai * Jacob Vanderplas * Joris Vankerschaver + * Pauli Virtanen * Warren Weckesser A total of 80 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

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