Mailman 3 July 2015 - Python-announce-list

ANN: Lea 2.1.2
by Pierre Denis July 31, 2015

July 31, 2015

I am pleased to announce the release of Lea 2.1.2! There are NO known open bug in this version. Please note the migration of the project to Bitbucket (see URL below), due to the approaching end of Google Code. What is Lea? ------------ Lea is a Python package aiming at working with discrete probability distributions in an intuitive way. It allows you to model a broad range of random phenomenons, like dice throwing, coin tossing, gambling, weather, etc. It offers several modelling features of a PPL (Probabilistic Programming Language), including bayesian inference and Markov chains. Lea is open-source (LGPL) and runs on Python 2 or 3. See project page below for more information (installation, tutorials, examples, etc). Lea project page ---------------- https://bitbucket.org/piedenis/lea Download Lea (PyPI) ------------------- http://pypi.python.org/pypi/lea With the hope that Lea can make your fun less uncertain, Pierre Denis

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ANN: PyWavelets 0.3.0 release
by Ralf Gommers July 31, 2015

July 31, 2015

Dear all, On behalf of the PyWavelets development team I'm excited to announce the availability of PyWavelets 0.3.0. This is the first release of the package in 3 years. It is the result of a significant effort of a growing development team to modernize the package, to provide Python 3.x support and to make a start with providing new features as well as improved performance. A 0.4.0 release will follow shortly, and will contain more significant new features as well as changes/deprecations to streamline the API. This release requires Python 2.6, 2.7 or 3.3-3.5 and Numpy 1.6.2 or greater. Sources and release notes can be found on https://pypi.python.org/pypi/PyWavelets and https://github.com/PyWavelets/pywt/releases. Activity on the project is picking up quickly. If you're interested in wavelets in Python, you are welcome and invited to join us at https://github.com/PyWavelets/pywt Enjoy, Ralf ============================== PyWavelets 0.3.0 Release Notes ============================== PyWavelets 0.3.0 is the first release of the package in 3 years. It is the result of a significant effort of a growing development team to modernize the package, to provide Python 3.x support and to make a start with providing new features as well as improved performance. A 0.4.0 release will follow shortly, and will contain more significant new features as well as changes/deprecations to streamline the API. This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.6.2 or greater. Highlights of this release include: - Support for Python 3.x (>=3.3) - Added a test suite (based on nose, coverage up to 61% so far) - Maintenance work: C style complying to the Numpy style guide, improved templating system, more complete docstrings, pep8/pyflakes compliance, and more. New features ============ Test suite ---------- The test suite can be run with ``nosetests pywt`` or with:: >>> import pywt >>> pywt.test() n-D Inverse Discrete Wavelet Transform -------------------------------------- The function ``pywt.idwtn``, which provides n-dimensional inverse DWT, has been added. It complements ``idwt``, ``idwt2`` and ``dwtn``. Thresholding ------------ The function `pywt.threshold` has been added. It unifies the four thresholding functions that are still provided in the ``pywt.thresholding`` namespace. Backwards incompatible changes ============================== None in this release. Other changes ============= Development has moved to `a new repo <https://github.com/PyWavelets/pywt>`_. Everyone with an interest in wavelets is welcome to contribute! Building wheels, building with ``python setup.py develop`` and many other standard ways to build and install PyWavelets are supported now. Authors ======= * Ankit Agrawal + * François Boulogne + * Ralf Gommers + * David Menéndez Hurtado + * Gregory R. Lee + * David McInnis + * Helder Oliveira + * Filip Wasilewski * Kai Wohlfahrt + A total of 9 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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EuroPython 2015: Thank you to all volunteers
by M.-A. Lemburg July 30, 2015

July 30, 2015

EuroPython is now over and was a great success thanks to everyone who helped make it happen. Unfortunately, we did not properly acknowledge all the volunteers who were working on the event during the closing session and we would like to apologize for this, so here’s the full list of all volunteers from the EuroPython 2015 Workgroups and the on-site volunteers: *** https://ep2015.europython.eu/en/volunteers/ *** On-site Team WG --------------- * Oier Echaniz Beneitez (Chair) * Borja Ayerdi Vilches * Alexandre Savio * Darya Chyzhyk * José David Nuñez * Luis Javier Salvatierra * Ion Marqués Conference Administration WG ---------------------------- * Marc-Andre Lemburg (Chair) * Vicky Lee * Rezuk Turgut * Stavros Anastasiadis * Stéphane Wirtel * Borja Ayerdi Vilches * Oier Beneitez Finance WG ---------- * Borja Ayerdi Vilches (Chair) * Fabio Pliger * Marc-Andre Lemburg * Vicky Lee * Rezuk Turgut * Jacob Hallén (EPS Treasurer) * Darya Chyzhyk Sponsors WG ----------- * Fabio Pilger (Chair) * Alexandre Savio * Borja Ayerdi Vilches * Marc-Andre Lemburg * Vicky Twomey-Lee * Hansel Dunlop * Raúl Cumplido * José David Muñez * Oier Echaniz Beneitez * Miren Urteaga Aldalur Communications WG ------------------ * Marc-Andre Lemburg (Chair) * Oier Beneitez * Kerstin Kollmann * Fabio Pliger * Vicky Lee * Dougal Matthews * Chris Ward * Kristian Rother * Stéphane Wirtel * Miren Aldalur Support WG ---------- * Raúl Cumplido * Anthon van der Neut * Alexandre Savio * Ion Marqués * Christian Barra * Eyad Toma * Stavros Anastasiadis Financial Aid WG ---------------- * Darya Chyzhyk * Vicky Twomey-Lee * Ion Marqués * Stéphane Wirtel Marketing/Design WG ------------------- * Darya Chyzhyk * Marc-Andre Lemburg * Borja Ayerdi Vilches * Alexandre Savio * Miren Aldalur * Stéphane Wirtel * Zachari Saltmer Program WG ---------- * Alexandre Savio (Chair) * Alexander Hendorf (Co-chair) * Vicky Twomey-Lee * Kristian Rother * Dougal Matthews * Sarah Mount * Raúl Cumplido * Adam Byrtek * Christian Barra * Moshe Goldstein * Scott Reeve * Chris Ward * Claudiu Popa * Stavros Anastasiadis * Harry Percival * Daniel Pyrathon Web WG ------ * Christian Barra (Chair) * Oier Beneitez * Marc-Andre Lemburg * Adam Byrtek * Dougal Matthews * Raúl Cumplido * Fabio Pliger * Eyad Toma * Stéphane Wirtel Media WG -------- * Anthon van der Neut * José David Muñez * Luis Javier Salvatierra * Francisco Fernández Castaño * Fabio Pliger On-Site Volunteers ------------------ In addition to several of the EuroPython Workgroup members, in particular, the on-site team WG, the following attendees helped as session manager, room manager, on the registration desk, bag stuffing and during set up and tear down of the conference. In alphabetical order: * Abraham Martin * Agustín Herranz * Aisha Bello * Alberto Rasillo * Ana Balica * Andrew McCarthy * Anna Bednarska * Anna Téglássy * Austur * Brianna Laugher * Cesar Desales * Christian Barra * Christin Schärfer * Corinne Welsh * Dorottya Czapari * Dougal Matthews * Éléonore Mayola * Eugene Tataurov * Felipe Ximenez * Floris Bruynooghe * Gautier Hayoun * Gregorio Vivo * Harry Percival * Inigo Aldazabal * Iñigo Ugarte Pérez * Ion Marques * Iraia Etxeberria * Iris Yuping Ren * Izarra Domingo * José David Nuñez * Julian Coyne * Julian Estevez * Jyrki Pulliainen * Kasia Kaminska * Kerstin Kollmann * Leire Ozaeta * Luis Javier Salavatierra * Matt McGraw * Maura Pilia * Mikey Ariel * Mircea Zetea * Miren Urteaga * Miroslav Sedivy * Pablo * Patrick Arminio * Paul Cochrane * Peter Deba * Petr Viktorin * Pierre Reinbold * Piotr Dyba * Raul Cumplido * Stefano Fontana * Stefano Mazzucco * Sven Wontroba * Szilvia Kadar * Tomasz Nowak * Victor Munoz Some attendees also helped without being registered as volunteer, e.g. during tear down at the conference venue. We’d like to thank you and acknowledge you as well. If you have helped and are not on the above list, please write to info(a)europython.eu. For next year, we will seek to use a better system for volunteer management and also invest more time into improving the conference opening and closing sessions. Enjoy, -- EuroPython 2015 Team http://ep2015.europython.eu/ http://www.europython-society.org/

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ANN: eGenix pyOpenSSL Distribution 0.13.11
by eGenix Team: M.-A. Lemburg July 30, 2015

July 30, 2015

________________________________________________________________________ ANNOUNCING eGenix.com pyOpenSSL Distribution Version 0.13.11 An easy-to-install and easy-to-use distribution of the pyOpenSSL Python interface for OpenSSL - available for Windows, Mac OS X and Unix platforms This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-pyOpenSSL-Distribution-0.13.11.ht… ________________________________________________________________________ INTRODUCTION The eGenix.com pyOpenSSL Distribution includes everything you need to get started with SSL in Python. It comes with an easy-to-use installer that includes the most recent OpenSSL library versions in pre-compiled form, making your application independent of OS provided OpenSSL libraries: http://www.egenix.com/products/python/pyOpenSSL/ pyOpenSSL is an open-source Python add-on that allows writing SSL/TLS- aware network applications as well as certificate management tools: https://launchpad.net/pyopenssl/ OpenSSL is an open-source implementation of the SSL/TLS protocol: http://www.openssl.org/ ________________________________________________________________________ NEWS This new release of the eGenix.com pyOpenSSL Distribution includes the following updates: New in OpenSSL -------------- * Updated included OpenSSL libraries from OpenSSL 1.0.1o to 1.0.1p. See https://www.openssl.org/news/secadv_20150709.txt for a complete list of changes. The following fixes are relevant for pyOpenSSL applications: - CVE-2015-1793: An error in the implementation of the alternative certificate chain logic could allow an attacker to use a regular server leaf certificate as CA certificate. Please see the product changelog for the full set of changes. http://www.egenix.com/products/python/pyOpenSSL/changelog.html pyOpenSSL / OpenSSL Binaries Included ------------------------------------- In addition to providing sources, we make binaries available that include both pyOpenSSL and the necessary OpenSSL libraries for all supported platforms: Windows, Linux, Mac OS X and FreeBSD, for x86 and x64. To simplify installation, we have uploaded a web installer to PyPI which will automatically choose the right binary for your platform, so a simple pip install egenix-pyopenssl will get you the package with OpenSSL libraries installed. Please see our installation instructions for details: http://www.egenix.com/products/python/pyOpenSSL/#Installation We have also added .egg-file distribution versions of our eGenix.com pyOpenSSL Distribution for Windows, Linux and Mac OS X to the available download options. These make setups using e.g. zc.buildout and other egg-file based installers a lot easier. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the package can be found at: http://www.egenix.com/products/python/pyOpenSSL/ ________________________________________________________________________ UPGRADING Before installing this version of pyOpenSSL, please make sure that you uninstall any previously installed pyOpenSSL version. Otherwise, you could end up not using the included OpenSSL libs. _______________________________________________________________________ SUPPORT Commercial support for these packages is available from eGenix.com. Please see http://www.egenix.com/services/support/ for details about our support offerings. ________________________________________________________________________ MORE INFORMATION For more information about the eGenix pyOpenSSL Distribution, licensing and download instructions, please visit our web-site or write to sales(a)egenix.com. About eGenix (http://www.egenix.com/): eGenix is a software project, consulting and product company focusing on expert project services and professional quality products for companies, Python users and developers. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Jul 30 2015) >>> Python Projects, Coaching and Consulting ... http://www.egenix.com/ >>> mxODBC Plone/Zope Database Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ ::::: Try our mxODBC.Connect Python Database Interface for free ! :::::: eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48 D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg Registered at Amtsgericht Duesseldorf: HRB 46611 http://www.egenix.com/company/contact/

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PyCTrie
by Sümer Cip July 29, 2015

July 29, 2015

Hi all, I have completed a fun project: https://bitbucket.org/sumerc/pyctrie/ PyCTrie Fast, pure C Trie <http://en.wikipedia.org/wiki/Trie> dictionary Features: - Very fast. Same performance characteristics with Python's *dict*. - Supports fast *suffix*, *prefix*, *correction* (spell) operations. - Supports Python 2.6 <= x <= 3.4 P.S: I have tried hard to make generator support on all suffix/prefix/correct operations without additional memory. -- Sümer Cip

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ANN: Python Meeting Düsseldorf - 29.07.2015
by eGenix Team: M.-A. Lemburg July 27, 2015

July 27, 2015

[This announcement is in German since it targets a local user group meeting in Düsseldorf, Germany] ________________________________________________________________________ ANKÜNDIGUNG Python Meeting Düsseldorf http://pyddf.de/ Ein Treffen von Python Enthusiasten und Interessierten in ungezwungener Atmosphäre. Mittwoch, 29.07.2015, 18:00 Uhr Raum 1, 2.OG im Bürgerhaus Stadtteilzentrum Bilk Düsseldorfer Arcaden, Bachstr. 145, 40217 Düsseldorf Diese Nachricht ist auch online verfügbar: http://www.egenix.com/company/news/Python-Meeting-Duesseldorf-2015-07-29 ________________________________________________________________________ NEUIGKEITEN * Bereits angemeldete Vorträge: Charlie Clark "Eine Einführung in das Routing von Pyramid" Marc-Andre Lemburg "Python Idioms - Tipps und Anleitungen für besseren Python Code" "Bericht von der EuroPython 2015" Weitere Vorträge können gerne noch angemeldet werden: info(a)pyddf.de * Startzeit und Ort: Wir treffen uns um 18:00 Uhr im Bürgerhaus in den Düsseldorfer Arcaden. Das Bürgerhaus teilt sich den Eingang mit dem Schwimmbad und befindet sich an der Seite der Tiefgarageneinfahrt der Düsseldorfer Arcaden. Über dem Eingang steht ein großes Schwimm'in Bilk Logo. Hinter der Tür direkt links zu den zwei Aufzügen, dann in den 2. Stock hochfahren. Der Eingang zum Raum 1 liegt direkt links, wenn man aus dem Aufzug kommt. Google Street View: http://bit.ly/11sCfiw ________________________________________________________________________ EINLEITUNG Das Python Meeting Düsseldorf ist eine regelmäßige Veranstaltung in Düsseldorf, die sich an Python Begeisterte aus der Region wendet: * http://pyddf.de/ Einen guten Überblick über die Vorträge bietet unser YouTube-Kanal, auf dem wir die Vorträge nach den Meetings veröffentlichen: * http://www.youtube.com/pyddf/ Veranstaltet wird das Meeting von der eGenix.com GmbH, Langenfeld, in Zusammenarbeit mit Clark Consulting & Research, Düsseldorf: * http://www.egenix.com/ * http://www.clark-consulting.eu/ ________________________________________________________________________ PROGRAMM Das Python Meeting Düsseldorf nutzt eine Mischung aus Open Space und Lightning Talks, wobei die Gewitter bei uns auch schon mal 20 Minuten dauern können ;-). Lightning Talks können vorher angemeldet werden, oder auch spontan während des Treffens eingebracht werden. Ein Beamer mit XGA Auflösung steht zur Verfügung. Folien bitte als PDF auf USB Stick mitbringen. Lightning Talk Anmeldung bitte formlos per EMail an info(a)pyddf.de ________________________________________________________________________ KOSTENBETEILIGUNG Das Python Meeting Düsseldorf wird von Python Nutzern für Python Nutzer veranstaltet. Um die Kosten zumindest teilweise zu refinanzieren, bitten wir die Teilnehmer um einen Beitrag in Höhe von EUR 10,00 inkl. 19% Mwst, Schüler und Studenten zahlen EUR 5,00 inkl. 19% Mwst. Wir möchten alle Teilnehmer bitten, den Betrag in bar mitzubringen. ________________________________________________________________________ ANMELDUNG Da wir nur für ca. 20 Personen Sitzplätze haben, möchten wir bitten, sich per EMail anzumelden. Damit wird keine Verpflichtung eingegangen. Es erleichtert uns allerdings die Planung. Meeting Anmeldung bitte formlos per EMail an info(a)pyddf.de ________________________________________________________________________ WEITERE INFORMATIONEN Weitere Informationen finden Sie auf der Webseite des Meetings: http://pyddf.de/ Mit freundlichen Grüßen, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Jul 27 2015) >>> Python Projects, Coaching and Consulting ... http://www.egenix.com/ >>> mxODBC Plone/Zope Database Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2015-07-29: Python Meeting Duesseldorf ... 2 days to go ::::: Try our mxODBC.Connect Python Database Interface for free ! :::::: eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48 D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg Registered at Amtsgericht Duesseldorf: HRB 46611 http://www.egenix.com/company/contact/

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[RELEASED] Python 3.5.0b4 is now available
by Larry Hastings July 26, 2015

July 26, 2015

On behalf of the Python development community and the Python 3.5 release team, I'm delighted to announce the availability of Python 3.5.0b4. Python 3.5.0b4 is scheduled to be the last beta release; the next release will be Python 3.5.0rc1, or Release Candidate 1. Python 3.5 has now entered "feature freeze". By default new features may no longer be added to Python 3.5. This is a preview release, and its use is not recommended for production settings. An important reminder for Windows users about Python 3.5.0b4: if installing Python 3.5.0b4 as a non-privileged user, you may need to escalate to administrator privileges to install an update to your C runtime libraries. You can find Python 3.5.0b4 here: https://www.python.org/downloads/release/python-350b4/ Happy hacking, */arry*

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Trac 1.0.8 released
by Ryan Ollos July 25, 2015

July 25, 2015

Trac 1.0.8 Released =================== Trac 1.0.8, the latest maintenance release for the current stable branch, is available. You will find this release at the usual places: http://trac.edgewall.org/wiki/TracDownload#LatestStableRelease https://pypi.python.org/pypi/Trac/1.0.8 Trac 1.0.7 was release on the 17th of July, but a regression was discovered and fixed in this release. - the session for an authenticated username containing non-alphanumeric characters could not be retrieved, resulting in the user being denied access to every realm and resource. You can find the detailed release notes for 1.0.8 on the following pages: http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Now to the packages themselves: URLs: http://download.edgewall.org/trac/Trac-1.0.8.tar.gz http://download.edgewall.org/trac/Trac-1.0.8.win32.exe http://download.edgewall.org/trac/Trac-1.0.8.win-amd64.exe http://download.edgewall.org/trac/Trac-1.0.8.zip MD5 sums: a2fc666afd4e59a72ad76d8292d39111 Trac-1.0.8.tar.gz 9f5b2257bddc6a28c6839e6936ebeddb Trac-1.0.8.win32.exe e30d7ec90664ec43b0e58aec289e0584 Trac-1.0.8.win-amd64.exe 4c3fd76b6fb63975b753fbd6a7cd4523 Trac-1.0.8.zip SHA1 sums: 4f31316a8bd16d7335f0c346dad85654ff5c4837 Trac-1.0.8.tar.gz 4f585f07d1536e67ae0c1665efbec442ad249dd7 Trac-1.0.8.win32.exe 4afeb0da8dde988f8a153454353a5ac5e41c6d3a Trac-1.0.8.win-amd64.exe e1238237433d268762f731b4934d62a85fb40b8b Trac-1.0.8.zip Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we offer hope that Trac will prove itself useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team http://trac.edgewall.org/

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ANN: Scipy 0.16.0 release
by Ralf Gommers July 24, 2015

July 24, 2015

Hi all, On behalf of the Scipy development team I'm pleased to announce the availability of Scipy 0.16.0. This release contains some exciting new features (see release notes below) and more than half a years' worth of maintenance work. 93 people contributed to this release. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.6.2 or greater. Sources, binaries and release notes can be found at https://github.com/scipy/scipy/releases/tag/v0.16.0 Enjoy, Ralf -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ========================== SciPy 0.16.0 Release Notes ========================== SciPy 0.16.0 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 0.16.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 1.6.2 or greater. Highlights of this release include: - - A Cython API for BLAS/LAPACK in `scipy.linalg` - - A new benchmark suite. It's now straightforward to add new benchmarks, and they're routinely included with performance enhancement PRs. - - Support for the second order sections (SOS) format in `scipy.signal`. New features ============ Benchmark suite - --------------- The benchmark suite has switched to using `Airspeed Velocity <http://spacetelescope.github.io/asv/>`__ for benchmarking. You can run the suite locally via ``python runtests.py --bench``. For more details, see ``benchmarks/README.rst``. `scipy.linalg` improvements - --------------------------- A full set of Cython wrappers for BLAS and LAPACK has been added in the modules `scipy.linalg.cython_blas` and `scipy.linalg.cython_lapack`. In Cython, these wrappers can now be cimported from their corresponding modules and used without linking directly against BLAS or LAPACK. The functions `scipy.linalg.qr_delete`, `scipy.linalg.qr_insert` and `scipy.linalg.qr_update` for updating QR decompositions were added. The function `scipy.linalg.solve_circulant` solves a linear system with a circulant coefficient matrix. The function `scipy.linalg.invpascal` computes the inverse of a Pascal matrix. The function `scipy.linalg.solve_toeplitz`, a Levinson-Durbin Toeplitz solver, was added. Added wrapper for potentially useful LAPACK function ``*lasd4``. It computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. See its LAPACK documentation and unit tests for it to get more info. Added two extra wrappers for LAPACK least-square solvers. Namely, they are ``*gelsd`` and ``*gelsy``. Wrappers for the LAPACK ``*lange`` functions, which calculate various matrix norms, were added. Wrappers for ``*gtsv`` and ``*ptsv``, which solve ``A*X = B`` for tri-diagonal matrix ``A``, were added. `scipy.signal` improvements - --------------------------- Support for second order sections (SOS) as a format for IIR filters was added. The new functions are: * `scipy.signal.sosfilt` * `scipy.signal.sosfilt_zi`, * `scipy.signal.sos2tf` * `scipy.signal.sos2zpk` * `scipy.signal.tf2sos` * `scipy.signal.zpk2sos`. Additionally, the filter design functions `iirdesign`, `iirfilter`, `butter`, `cheby1`, `cheby2`, `ellip`, and `bessel` can return the filter in the SOS format. The function `scipy.signal.place_poles`, which provides two methods to place poles for linear systems, was added. The option to use Gustafsson's method for choosing the initial conditions of the forward and backward passes was added to `scipy.signal.filtfilt`. New classes ``TransferFunction``, ``StateSpace`` and ``ZerosPolesGain`` were added. These classes are now returned when instantiating `scipy.signal.lti`. Conversion between those classes can be done explicitly now. An exponential (Poisson) window was added as `scipy.signal.exponential`, and a Tukey window was added as `scipy.signal.tukey`. The function for computing digital filter group delay was added as `scipy.signal.group_delay`. The functionality for spectral analysis and spectral density estimation has been significantly improved: `scipy.signal.welch` became ~8x faster and the functions `scipy.signal.spectrogram`, `scipy.signal.coherence` and `scipy.signal.csd` (cross-spectral density) were added. `scipy.signal.lsim` was rewritten - all known issues are fixed, so this function can now be used instead of ``lsim2``; ``lsim`` is orders of magnitude faster than ``lsim2`` in most cases. `scipy.sparse` improvements - --------------------------- The function `scipy.sparse.norm`, which computes sparse matrix norms, was added. The function `scipy.sparse.random`, which allows to draw random variates from an arbitrary distribution, was added. `scipy.spatial` improvements - ---------------------------- `scipy.spatial.cKDTree` has seen a major rewrite, which improved the performance of the ``query`` method significantly, added support for parallel queries, pickling, and options that affect the tree layout. See pull request 4374 for more details. The function `scipy.spatial.procrustes` for Procrustes analysis (statistical shape analysis) was added. `scipy.stats` improvements - -------------------------- The Wishart distribution and its inverse have been added, as `scipy.stats.wishart` and `scipy.stats.invwishart`. The Exponentially Modified Normal distribution has been added as `scipy.stats.exponnorm`. The Generalized Normal distribution has been added as `scipy.stats.gennorm`. All distributions now contain a ``random_state`` property and allow specifying a specific ``numpy.random.RandomState`` random number generator when generating random variates. Many statistical tests and other `scipy.stats` functions that have multiple return values now return ``namedtuples``. See pull request 4709 for details. `scipy.optimize` improvements - ----------------------------- A new derivative-free method DF-SANE has been added to the nonlinear equation system solving function `scipy.optimize.root`. Deprecated features =================== ``scipy.stats.pdf_fromgamma`` is deprecated. This function was undocumented, untested and rarely used. Statsmodels provides equivalent functionality with ``statsmodels.distributions.ExpandedNormal``. ``scipy.stats.fastsort`` is deprecated. This function is unnecessary, ``numpy.argsort`` can be used instead. ``scipy.stats.signaltonoise`` and ``scipy.stats.mstats.signaltonoise`` are deprecated. These functions did not belong in ``scipy.stats`` and are rarely used. See issue #609 for details. ``scipy.stats.histogram2`` is deprecated. This function is unnecessary, ``numpy.histogram2d`` can be used instead. Backwards incompatible changes ============================== The deprecated global optimizer ``scipy.optimize.anneal`` was removed. The following deprecated modules have been removed: ``scipy.lib.blas``, ``scipy.lib.lapack``, ``scipy.linalg.cblas``, ``scipy.linalg.fblas``, ``scipy.linalg.clapack``, ``scipy.linalg.flapack``. They had been deprecated since Scipy 0.12.0, the functionality should be accessed as `scipy.linalg.blas` and `scipy.linalg.lapack`. The deprecated function ``scipy.special.all_mat`` has been removed. The deprecated functions ``fprob``, ``ksprob``, ``zprob``, ``randwcdf`` and ``randwppf`` have been removed from `scipy.stats`. Other changes ============= The version numbering for development builds has been updated to comply with PEP 440. Building with ``python setup.py develop`` is now supported. Authors ======= * @axiru + * @endolith * Elliott Sales de Andrade + * Anne Archibald * Yoshiki Vázquez Baeza + * Sylvain Bellemare * Felix Berkenkamp + * Raoul Bourquin + * Matthew Brett * Per Brodtkorb * Christian Brueffer * Lars Buitinck * Evgeni Burovski * Steven Byrnes * CJ Carey * George Castillo + * Alex Conley + * Liam Damewood + * Rupak Das + * Abraham Escalante + * Matthias Feurer + * Eric Firing + * Clark Fitzgerald * Chad Fulton * André Gaul * Andreea Georgescu + * Christoph Gohlke * Andrey Golovizin + * Ralf Gommers * J.J. Green + * Alex Griffing * Alexander Grigorievskiy + * Hans Moritz Gunther + * Jonas Hahnfeld + * Charles Harris * Ian Henriksen * Andreas Hilboll * Åsmund Hjulstad + * Jan Schlüter + * Janko Slavič + * Daniel Jensen + * Johannes Ballé + * Terry Jones + * Amato Kasahara + * Eric Larson * Denis Laxalde * Antony Lee * Gregory R. Lee * Perry Lee + * Loïc Estève * Martin Manns + * Eric Martin + * Matěj Kocián + * Andreas Mayer + * Nikolay Mayorov + * Robert McGibbon + * Sturla Molden * Nicola Montecchio + * Eric Moore * Jamie Morton + * Nikolas Moya + * Maniteja Nandana + * Andrew Nelson * Joel Nothman * Aldrian Obaja * Regina Ongowarsito + * Paul Ortyl + * Pedro López-Adeva Fernández-Layos + * Stefan Peterson + * Irvin Probst + * Eric Quintero + * John David Reaver + * Juha Remes + * Thomas Robitaille * Clancy Rowley + * Tobias Schmidt + * Skipper Seabold * Aman Singh + * Eric Soroos * Valentine Svensson + * Julian Taylor * Aman Thakral + * Helmut Toplitzer + * Fukumu Tsutsumi + * Anastasiia Tsyplia + * Jacob Vanderplas * Pauli Virtanen * Matteo Visconti + * Warren Weckesser * Florian Wilhelm + * Nathan Woods * Haochen Wu + * Daan Wynen + A total of 93 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. Issues closed for 0.16.0 - ------------------------ - - `#1063 <https://github.com/scipy/scipy/issues/1063>`__: Implement a whishart distribution (Trac #536) - - `#1885 <https://github.com/scipy/scipy/issues/1885>`__: Rbf: floating point warnings - possible bug (Trac #1360) - - `#2020 <https://github.com/scipy/scipy/issues/2020>`__: Rbf default epsilon too large (Trac #1495) - - `#2325 <https://github.com/scipy/scipy/issues/2325>`__: extending distributions, hypergeom, to degenerate cases (Trac... - - `#3502 <https://github.com/scipy/scipy/issues/3502>`__: [ENH] linalg.hessenberg should use ORGHR for calc_q=True - - `#3603 <https://github.com/scipy/scipy/issues/3603>`__: Passing array as window into signal.resample() fails - - `#3675 <https://github.com/scipy/scipy/issues/3675>`__: Intermittent failures for signal.slepian on Windows - - `#3742 <https://github.com/scipy/scipy/issues/3742>`__: Pchipinterpolator inconvenient as ppoly - - `#3786 <https://github.com/scipy/scipy/issues/3786>`__: add procrustes? - - `#3798 <https://github.com/scipy/scipy/issues/3798>`__: scipy.io.savemat fails for empty dicts - - `#3975 <https://github.com/scipy/scipy/issues/3975>`__: Use RandomState in scipy.stats - - `#4022 <https://github.com/scipy/scipy/issues/4022>`__: savemat incorrectly saves logical arrays - - `#4028 <https://github.com/scipy/scipy/issues/4028>`__: scipy.stats.geom.logpmf(1,1) returns nan. The correct value is... - - `#4030 <https://github.com/scipy/scipy/issues/4030>`__: simplify scipy.stats.betaprime.cdf - - `#4031 <https://github.com/scipy/scipy/issues/4031>`__: improve accuracy of scipy.stats.gompertz distribution for small... - - `#4033 <https://github.com/scipy/scipy/issues/4033>`__: improve accuracy of scipy.stats.lomax distribution for small... - - `#4034 <https://github.com/scipy/scipy/issues/4034>`__: improve accuracy of scipy.stats.rayleigh distribution for large... - - `#4035 <https://github.com/scipy/scipy/issues/4035>`__: improve accuracy of scipy.stats.truncexpon distribution for small... - - `#4081 <https://github.com/scipy/scipy/issues/4081>`__: Error when reading matlab file: buffer is too small for requested... - - `#4100 <https://github.com/scipy/scipy/issues/4100>`__: Why does qr(a, lwork=0) not fail? - - `#4134 <https://github.com/scipy/scipy/issues/4134>`__: scipy.stats: rv_frozen has no expect() method - - `#4204 <https://github.com/scipy/scipy/issues/4204>`__: Please add docstring to scipy.optimize.RootResults - - `#4206 <https://github.com/scipy/scipy/issues/4206>`__: Wrap LAPACK tridiagonal solve routine `gtsv` - - `#4208 <https://github.com/scipy/scipy/issues/4208>`__: Empty sparse matrices written to MAT file cannot be read by MATLAB - - `#4217 <https://github.com/scipy/scipy/issues/4217>`__: use a TravisCI configuration with numpy built with NPY_RELAXED_STRIDES_CHECKING=1 - - `#4282 <https://github.com/scipy/scipy/issues/4282>`__: integrate.odeint raises an exception when full_output=1 and the... - - `#4301 <https://github.com/scipy/scipy/issues/4301>`__: scipy and numpy version names do not follow pep 440 - - `#4355 <https://github.com/scipy/scipy/issues/4355>`__: PPoly.antiderivative() produces incorrect output - - `#4391 <https://github.com/scipy/scipy/issues/4391>`__: spsolve becomes extremely slow with large b matrix - - `#4393 <https://github.com/scipy/scipy/issues/4393>`__: Documentation glitsch in sparse.linalg.spilu - - `#4408 <https://github.com/scipy/scipy/issues/4408>`__: Vector-valued constraints in minimize() et al - - `#4412 <https://github.com/scipy/scipy/issues/4412>`__: Documentation of scipy.signal.cwt error - - `#4428 <https://github.com/scipy/scipy/issues/4428>`__: dok.__setitem__ problem with negative indices - - `#4434 <https://github.com/scipy/scipy/issues/4434>`__: Incomplete documentation for sparse.linalg.spsolve - - `#4438 <https://github.com/scipy/scipy/issues/4438>`__: linprog() documentation example wrong - - `#4445 <https://github.com/scipy/scipy/issues/4445>`__: Typo in scipy.special.expit doc - - `#4467 <https://github.com/scipy/scipy/issues/4467>`__: Documentation Error in scipy.optimize options for TNC - - `#4492 <https://github.com/scipy/scipy/issues/4492>`__: solve_toeplitz benchmark is bitrotting already - - `#4506 <https://github.com/scipy/scipy/issues/4506>`__: lobpcg/sparse performance regression Jun 2014? - - `#4520 <https://github.com/scipy/scipy/issues/4520>`__: g77_abi_wrappers needed on Linux for MKL as well - - `#4521 <https://github.com/scipy/scipy/issues/4521>`__: Broken check in uses_mkl for newer versions of the library - - `#4523 <https://github.com/scipy/scipy/issues/4523>`__: rbf with gaussian kernel seems to produce more noise than original... - - `#4526 <https://github.com/scipy/scipy/issues/4526>`__: error in site documentation for poisson.pmf() method - - `#4527 <https://github.com/scipy/scipy/issues/4527>`__: KDTree example doesn't work in Python 3 - - `#4550 <https://github.com/scipy/scipy/issues/4550>`__: `scipy.stats.mode` - UnboundLocalError on empty sequence - - `#4554 <https://github.com/scipy/scipy/issues/4554>`__: filter out convergence warnings in optimization tests - - `#4565 <https://github.com/scipy/scipy/issues/4565>`__: odeint messages - - `#4569 <https://github.com/scipy/scipy/issues/4569>`__: remez: "ValueError: Failure to converge after 25 iterations.... - - `#4582 <https://github.com/scipy/scipy/issues/4582>`__: DOC: optimize: _minimize_scalar_brent does not have a disp option - - `#4585 <https://github.com/scipy/scipy/issues/4585>`__: DOC: Erroneous latex-related characters in tutorial. - - `#4590 <https://github.com/scipy/scipy/issues/4590>`__: sparse.linalg.svds should throw an exception if which not in... - - `#4594 <https://github.com/scipy/scipy/issues/4594>`__: scipy.optimize.linprog IndexError when a callback is providen - - `#4596 <https://github.com/scipy/scipy/issues/4596>`__: scipy.linalg.block_diag misbehavior with empty array inputs (v0.13.3) - - `#4599 <https://github.com/scipy/scipy/issues/4599>`__: scipy.integrate.nquad should call _OptFunc when called with only... - - `#4612 <https://github.com/scipy/scipy/issues/4612>`__: Crash in signal.lfilter on nd input with wrong shaped zi - - `#4613 <https://github.com/scipy/scipy/issues/4613>`__: scipy.io.readsav error on reading sav file - - `#4673 <https://github.com/scipy/scipy/issues/4673>`__: scipy.interpolate.RectBivariateSpline construction locks PyQt... - - `#4681 <https://github.com/scipy/scipy/issues/4681>`__: Broadcasting in signal.lfilter still not quite right. - - `#4705 <https://github.com/scipy/scipy/issues/4705>`__: kmeans k_or_guess parameter error if guess is not square array - - `#4719 <https://github.com/scipy/scipy/issues/4719>`__: Build failure on 14.04.2 - - `#4724 <https://github.com/scipy/scipy/issues/4724>`__: GenGamma _munp function fails due to overflow - - `#4726 <https://github.com/scipy/scipy/issues/4726>`__: FAIL: test_cobyla.test_vector_constraints - - `#4734 <https://github.com/scipy/scipy/issues/4734>`__: Failing tests in stats with numpy master. - - `#4736 <https://github.com/scipy/scipy/issues/4736>`__: qr_update bug or incompatibility with numpy 1.10? - - `#4746 <https://github.com/scipy/scipy/issues/4746>`__: linprog returns solution violating equality constraint - - `#4757 <https://github.com/scipy/scipy/issues/4757>`__: optimize.leastsq docstring mismatch - - `#4774 <https://github.com/scipy/scipy/issues/4774>`__: Update contributor list for v0.16 - - `#4779 <https://github.com/scipy/scipy/issues/4779>`__: circmean and others do not appear in the documentation - - `#4788 <https://github.com/scipy/scipy/issues/4788>`__: problems with scipy sparse linalg isolve iterative.py when complex - - `#4791 <https://github.com/scipy/scipy/issues/4791>`__: BUG: scipy.spatial: incremental Voronoi doesn't increase size... Pull requests for 0.16.0 - ------------------------ - - `#3116 <https://github.com/scipy/scipy/pull/3116>`__: sparse: enhancements for DIA format - - `#3157 <https://github.com/scipy/scipy/pull/3157>`__: ENH: linalg: add the function 'solve_circulant' for solving a... - - `#3442 <https://github.com/scipy/scipy/pull/3442>`__: ENH: signal: Add Gustafsson's method as an option for the filtfilt... - - `#3679 <https://github.com/scipy/scipy/pull/3679>`__: WIP: fix sporadic slepian failures - - `#3680 <https://github.com/scipy/scipy/pull/3680>`__: Some cleanups in stats - - `#3717 <https://github.com/scipy/scipy/pull/3717>`__: ENH: Add second-order sections filtering - - `#3741 <https://github.com/scipy/scipy/pull/3741>`__: Dltisys changes - - `#3956 <https://github.com/scipy/scipy/pull/3956>`__: add note to scipy.signal.resample about prime sample numbers - - `#3980 <https://github.com/scipy/scipy/pull/3980>`__: Add check_finite flag to UnivariateSpline - - `#3996 <https://github.com/scipy/scipy/pull/3996>`__: MAINT: stricter linalg argument checking - - `#4001 <https://github.com/scipy/scipy/pull/4001>`__: BUG: numerical precision in dirichlet - - `#4012 <https://github.com/scipy/scipy/pull/4012>`__: ENH: linalg: Add a function to compute the inverse of a Pascal... - - `#4021 <https://github.com/scipy/scipy/pull/4021>`__: ENH: Cython api for lapack and blas - - `#4089 <https://github.com/scipy/scipy/pull/4089>`__: Fixes for various PEP8 issues. - - `#4116 <https://github.com/scipy/scipy/pull/4116>`__: MAINT: fitpack: trim down compiler warnings (unused labels, variables) - - `#4129 <https://github.com/scipy/scipy/pull/4129>`__: ENH: stats: add a random_state property to distributions - - `#4135 <https://github.com/scipy/scipy/pull/4135>`__: ENH: Add Wishart and inverse Wishart distributions - - `#4195 <https://github.com/scipy/scipy/pull/4195>`__: improve the interpolate docs - - `#4200 <https://github.com/scipy/scipy/pull/4200>`__: ENH: Add t-test from descriptive stats function. - - `#4202 <https://github.com/scipy/scipy/pull/4202>`__: Dendrogram threshold color - - `#4205 <https://github.com/scipy/scipy/pull/4205>`__: BLD: fix a number of Bento build warnings. - - `#4211 <https://github.com/scipy/scipy/pull/4211>`__: add an ufunc for the inverse Box-Cox transfrom - - `#4212 <https://github.com/scipy/scipy/pull/4212>`__: MRG:fix for gh-4208 - - `#4213 <https://github.com/scipy/scipy/pull/4213>`__: ENH: specific warning if matlab file is empty - - `#4215 <https://github.com/scipy/scipy/pull/4215>`__: Issue #4209: splprep documentation updated to reflect dimensional... - - `#4219 <https://github.com/scipy/scipy/pull/4219>`__: DOC: silence several Sphinx warnings when building the docs - - `#4223 <https://github.com/scipy/scipy/pull/4223>`__: MAINT: remove two redundant lines of code - - `#4226 <https://github.com/scipy/scipy/pull/4226>`__: try forcing the numpy rebuild with relaxed strides - - `#4228 <https://github.com/scipy/scipy/pull/4228>`__: BLD: some updates to Bento config files and docs. Closes gh-3978. - - `#4232 <https://github.com/scipy/scipy/pull/4232>`__: wrong references in the docs - - `#4242 <https://github.com/scipy/scipy/pull/4242>`__: DOC: change example sample spacing - - `#4245 <https://github.com/scipy/scipy/pull/4245>`__: Arff fixes - - `#4246 <https://github.com/scipy/scipy/pull/4246>`__: MAINT: C fixes - - `#4247 <https://github.com/scipy/scipy/pull/4247>`__: MAINT: remove some unused code - - `#4249 <https://github.com/scipy/scipy/pull/4249>`__: Add routines for updating QR decompositions - - `#4250 <https://github.com/scipy/scipy/pull/4250>`__: MAINT: Some pyflakes-driven cleanup in linalg and sparse - - `#4252 <https://github.com/scipy/scipy/pull/4252>`__: MAINT trim away >10 kLOC of generated C code - - `#4253 <https://github.com/scipy/scipy/pull/4253>`__: TST: stop shadowing ellip* tests vs boost data - - `#4254 <https://github.com/scipy/scipy/pull/4254>`__: MAINT: special: use NPY_PI, not M_PI - - `#4255 <https://github.com/scipy/scipy/pull/4255>`__: DOC: INSTALL: use Py3-compatible print syntax, and don't mention... - - `#4256 <https://github.com/scipy/scipy/pull/4256>`__: ENH: spatial: reimplement cdist_cosine using np.dot - - `#4258 <https://github.com/scipy/scipy/pull/4258>`__: BUG: io.arff #4429 #2088 - - `#4261 <https://github.com/scipy/scipy/pull/4261>`__: MAINT: signal: PEP8 and related style clean up. - - `#4262 <https://github.com/scipy/scipy/pull/4262>`__: BUG: newton_krylov() was ignoring norm_tol argument, closes #4259 - - `#4263 <https://github.com/scipy/scipy/pull/4263>`__: MAINT: clean up test noise and optimize tests for docstrings... - - `#4266 <https://github.com/scipy/scipy/pull/4266>`__: MAINT: io: Give an informative error when attempting to read... - - `#4268 <https://github.com/scipy/scipy/pull/4268>`__: MAINT: fftpack benchmark integer division vs true division - - `#4269 <https://github.com/scipy/scipy/pull/4269>`__: MAINT: avoid shadowing the eigvals function - - `#4272 <https://github.com/scipy/scipy/pull/4272>`__: BUG: sparse: Fix bench_sparse.py - - `#4276 <https://github.com/scipy/scipy/pull/4276>`__: DOC: remove confusing parts of the documentation related to writing... - - `#4281 <https://github.com/scipy/scipy/pull/4281>`__: Sparse matrix multiplication: only convert array if needed (with... - - `#4284 <https://github.com/scipy/scipy/pull/4284>`__: BUG: integrate: odeint crashed when the integration time was... - - `#4286 <https://github.com/scipy/scipy/pull/4286>`__: MRG: fix matlab output type of logical array - - `#4287 <https://github.com/scipy/scipy/pull/4287>`__: DEP: deprecate stats.pdf_fromgamma. Closes gh-699. - - `#4291 <https://github.com/scipy/scipy/pull/4291>`__: DOC: linalg: fix layout in cholesky_banded docstring - - `#4292 <https://github.com/scipy/scipy/pull/4292>`__: BUG: allow empty dict as proxy for empty struct - - `#4293 <https://github.com/scipy/scipy/pull/4293>`__: MAINT: != -> not_equal in hamming distance implementation - - `#4295 <https://github.com/scipy/scipy/pull/4295>`__: Pole placement - - `#4296 <https://github.com/scipy/scipy/pull/4296>`__: MAINT: some cleanups in tests of several modules - - `#4302 <https://github.com/scipy/scipy/pull/4302>`__: ENH: Solve toeplitz linear systems - - `#4306 <https://github.com/scipy/scipy/pull/4306>`__: Add benchmark for conjugate gradient solver. - - `#4307 <https://github.com/scipy/scipy/pull/4307>`__: BLD: PEP 440 - - `#4310 <https://github.com/scipy/scipy/pull/4310>`__: BUG: make stats.geom.logpmf(1,1) return 0.0 instead of nan - - `#4311 <https://github.com/scipy/scipy/pull/4311>`__: TST: restore a test that uses slogdet now that we have dropped... - - `#4313 <https://github.com/scipy/scipy/pull/4313>`__: Some minor fixes for stats.wishart addition. - - `#4315 <https://github.com/scipy/scipy/pull/4315>`__: MAINT: drop numpy 1.5 compatibility code in sparse matrix tests - - `#4318 <https://github.com/scipy/scipy/pull/4318>`__: ENH: Add random_state to multivariate distributions - - `#4319 <https://github.com/scipy/scipy/pull/4319>`__: MAINT: fix hamming distance regression for exotic arrays, with... - - `#4320 <https://github.com/scipy/scipy/pull/4320>`__: TST: a few changes like self.assertTrue(x == y, message) -> assert_equal(x,... - - `#4321 <https://github.com/scipy/scipy/pull/4321>`__: TST: more changes like self.assertTrue(x == y, message) -> assert_equal(x,... - - `#4322 <https://github.com/scipy/scipy/pull/4322>`__: TST: in test_signaltools, changes like self.assertTrue(x == y,... - - `#4323 <https://github.com/scipy/scipy/pull/4323>`__: MAINT: clean up benchmarks so they can all be run as single files. - - `#4324 <https://github.com/scipy/scipy/pull/4324>`__: Add more detailed committer guidelines, update MAINTAINERS.txt - - `#4326 <https://github.com/scipy/scipy/pull/4326>`__: TST: use numpy.testing in test_hierarchy.py - - `#4329 <https://github.com/scipy/scipy/pull/4329>`__: MAINT: stats: rename check_random_state test function - - `#4330 <https://github.com/scipy/scipy/pull/4330>`__: Update distance tests - - `#4333 <https://github.com/scipy/scipy/pull/4333>`__: MAINT: import comb, factorial from scipy.special, not scipy.misc - - `#4338 <https://github.com/scipy/scipy/pull/4338>`__: TST: more conversions from nose to numpy.testing - - `#4339 <https://github.com/scipy/scipy/pull/4339>`__: MAINT: remove the deprecated all_mat function from special_matrices.py - - `#4340 <https://github.com/scipy/scipy/pull/4340>`__: add several features to frozen distributions - - `#4344 <https://github.com/scipy/scipy/pull/4344>`__: BUG: Fix/test invalid lwork param in qr - - `#4345 <https://github.com/scipy/scipy/pull/4345>`__: Fix test noise visible with Python 3.x - - `#4347 <https://github.com/scipy/scipy/pull/4347>`__: Remove deprecated blas/lapack imports, rename lib to _lib - - `#4349 <https://github.com/scipy/scipy/pull/4349>`__: DOC: add a nontrivial example to stats.binned_statistic. - - `#4350 <https://github.com/scipy/scipy/pull/4350>`__: MAINT: remove optimize.anneal for 0.16.0 (was deprecated in 0.14.0). - - `#4351 <https://github.com/scipy/scipy/pull/4351>`__: MAINT: fix usage of deprecated Numpy C API in optimize... - - `#4352 <https://github.com/scipy/scipy/pull/4352>`__: MAINT: fix a number of special test failures - - `#4353 <https://github.com/scipy/scipy/pull/4353>`__: implement cdf for betaprime distribution - - `#4357 <https://github.com/scipy/scipy/pull/4357>`__: BUG: piecewise polynomial antiderivative - - `#4358 <https://github.com/scipy/scipy/pull/4358>`__: BUG: integrate: fix handling of banded Jacobians in odeint, plus... - - `#4359 <https://github.com/scipy/scipy/pull/4359>`__: MAINT: remove a code path taken for Python version < 2.5 - - `#4360 <https://github.com/scipy/scipy/pull/4360>`__: MAINT: stats.mstats: Remove some unused variables (thanks, pyflakes). - - `#4362 <https://github.com/scipy/scipy/pull/4362>`__: Removed erroneous reference to smoothing parameter #4072 - - `#4363 <https://github.com/scipy/scipy/pull/4363>`__: MAINT: interpolate: clean up in fitpack.py - - `#4364 <https://github.com/scipy/scipy/pull/4364>`__: MAINT: lib: don't export "partial" from decorator - - `#4365 <https://github.com/scipy/scipy/pull/4365>`__: svdvals now returns a length-0 sequence of singular values given... - - `#4367 <https://github.com/scipy/scipy/pull/4367>`__: DOC: slightly improve TeX rendering of wishart/invwishart docstring - - `#4373 <https://github.com/scipy/scipy/pull/4373>`__: ENH: wrap gtsv and ptsv for solve_banded and solveh_banded. - - `#4374 <https://github.com/scipy/scipy/pull/4374>`__: ENH: Enhancements to spatial.cKDTree - - `#4376 <https://github.com/scipy/scipy/pull/4376>`__: BF: fix reading off-spec matlab logical sparse - - `#4377 <https://github.com/scipy/scipy/pull/4377>`__: MAINT: integrate: Clean up some Fortran test code. - - `#4378 <https://github.com/scipy/scipy/pull/4378>`__: MAINT: fix usage of deprecated Numpy C API in signal - - `#4380 <https://github.com/scipy/scipy/pull/4380>`__: MAINT: scipy.optimize, removing further anneal references - - `#4381 <https://github.com/scipy/scipy/pull/4381>`__: ENH: Make DCT and DST accept int and complex types like fft - - `#4392 <https://github.com/scipy/scipy/pull/4392>`__: ENH: optimize: add DF-SANE nonlinear derivative-free solver - - `#4394 <https://github.com/scipy/scipy/pull/4394>`__: Make reordering algorithms 64-bit clean - - `#4396 <https://github.com/scipy/scipy/pull/4396>`__: BUG: bundle cblas.h in Accelerate ABI wrappers to enable compilation... - - `#4398 <https://github.com/scipy/scipy/pull/4398>`__: FIX pdist bug where wminkowski's w.dtype != double - - `#4402 <https://github.com/scipy/scipy/pull/4402>`__: BUG: fix stat.hypergeom argcheck - - `#4404 <https://github.com/scipy/scipy/pull/4404>`__: MAINT: Fill in the full symmetric squareform in the C loop - - `#4405 <https://github.com/scipy/scipy/pull/4405>`__: BUG: avoid X += X.T (refs #4401) - - `#4407 <https://github.com/scipy/scipy/pull/4407>`__: improved accuracy of gompertz distribution for small x - - `#4414 <https://github.com/scipy/scipy/pull/4414>`__: DOC:fix error in scipy.signal.cwt documentation. - - `#4415 <https://github.com/scipy/scipy/pull/4415>`__: ENH: Improve accuracy of lomax for small x. - - `#4416 <https://github.com/scipy/scipy/pull/4416>`__: DOC: correct a parameter name in docstring of SuperLU.solve.... - - `#4419 <https://github.com/scipy/scipy/pull/4419>`__: Restore scipy.linalg.calc_lwork also in master - - `#4420 <https://github.com/scipy/scipy/pull/4420>`__: fix a performance issue with a sparse solver - - `#4423 <https://github.com/scipy/scipy/pull/4423>`__: ENH: improve rayleigh accuracy for large x. - - `#4424 <https://github.com/scipy/scipy/pull/4424>`__: BUG: optimize.minimize: fix overflow issue with integer x0 input. - - `#4425 <https://github.com/scipy/scipy/pull/4425>`__: ENH: Improve accuracy of truncexpon for small x - - `#4426 <https://github.com/scipy/scipy/pull/4426>`__: ENH: improve rayleigh accuracy for large x. - - `#4427 <https://github.com/scipy/scipy/pull/4427>`__: MAINT: optimize: cleanup of TNC code - - `#4429 <https://github.com/scipy/scipy/pull/4429>`__: BLD: fix build failure with numpy 1.7.x and 1.8.x. - - `#4430 <https://github.com/scipy/scipy/pull/4430>`__: BUG: fix a sparse.dok_matrix set/get copy-paste bug - - `#4433 <https://github.com/scipy/scipy/pull/4433>`__: Update _minimize.py - - `#4435 <https://github.com/scipy/scipy/pull/4435>`__: ENH: release GIL around batch distance computations - - `#4436 <https://github.com/scipy/scipy/pull/4436>`__: Fixed incomplete documentation for spsolve - - `#4439 <https://github.com/scipy/scipy/pull/4439>`__: MAINT: integrate: Some clean up in the tests. - - `#4440 <https://github.com/scipy/scipy/pull/4440>`__: Fast permutation t-test - - `#4442 <https://github.com/scipy/scipy/pull/4442>`__: DOC: optimize: fix wrong result in docstring - - `#4447 <https://github.com/scipy/scipy/pull/4447>`__: DOC: signal: Some additional documentation to go along with the... - - `#4448 <https://github.com/scipy/scipy/pull/4448>`__: DOC: tweak the docstring of lapack.linalg module - - `#4449 <https://github.com/scipy/scipy/pull/4449>`__: fix a typo in the expit docstring - - `#4451 <https://github.com/scipy/scipy/pull/4451>`__: ENH: vectorize distance loops with gcc - - `#4456 <https://github.com/scipy/scipy/pull/4456>`__: MAINT: don't fail large data tests on MemoryError - - `#4461 <https://github.com/scipy/scipy/pull/4461>`__: CI: use travis_retry to deal with network timeouts - - `#4462 <https://github.com/scipy/scipy/pull/4462>`__: DOC: rationalize minimize() et al. documentation - - `#4470 <https://github.com/scipy/scipy/pull/4470>`__: MAINT: sparse: inherit dok_matrix.toarray from spmatrix - - `#4473 <https://github.com/scipy/scipy/pull/4473>`__: BUG: signal: Fix validation of the zi shape in sosfilt. - - `#4475 <https://github.com/scipy/scipy/pull/4475>`__: BLD: setup.py: update min numpy version and support "setup.py... - - `#4481 <https://github.com/scipy/scipy/pull/4481>`__: ENH: add a new linalg special matrix: the Helmert matrix - - `#4485 <https://github.com/scipy/scipy/pull/4485>`__: MRG: some changes to allow reading bad mat files - - `#4490 <https://github.com/scipy/scipy/pull/4490>`__: [ENH] linalg.hessenberg: use orghr - rebase - - `#4491 <https://github.com/scipy/scipy/pull/4491>`__: ENH: linalg: Adding wrapper for potentially useful LAPACK function... - - `#4493 <https://github.com/scipy/scipy/pull/4493>`__: BENCH: the solve_toeplitz benchmark used outdated syntax and... - - `#4494 <https://github.com/scipy/scipy/pull/4494>`__: MAINT: stats: remove duplicated code - - `#4496 <https://github.com/scipy/scipy/pull/4496>`__: References added for watershed_ift algorithm - - `#4499 <https://github.com/scipy/scipy/pull/4499>`__: DOC: reshuffle stats distributions documentation - - `#4501 <https://github.com/scipy/scipy/pull/4501>`__: Replace benchmark suite with airspeed velocity - - `#4502 <https://github.com/scipy/scipy/pull/4502>`__: SLSQP should strictly satisfy bound constraints - - `#4503 <https://github.com/scipy/scipy/pull/4503>`__: DOC: forward port 0.15.x release notes and update author name... - - `#4504 <https://github.com/scipy/scipy/pull/4504>`__: ENH: option to avoid computing possibly unused svd matrix - - `#4505 <https://github.com/scipy/scipy/pull/4505>`__: Rebase of PR 3303 (sparse matrix norms) - - `#4507 <https://github.com/scipy/scipy/pull/4507>`__: MAINT: fix lobpcg performance regression - - `#4509 <https://github.com/scipy/scipy/pull/4509>`__: DOC: sparse: replace dead link - - `#4511 <https://github.com/scipy/scipy/pull/4511>`__: Fixed differential evolution bug - - `#4512 <https://github.com/scipy/scipy/pull/4512>`__: Change to fully PEP440 compliant dev version numbers (always... - - `#4525 <https://github.com/scipy/scipy/pull/4525>`__: made tiny style corrections (pep8) - - `#4533 <https://github.com/scipy/scipy/pull/4533>`__: Add exponentially modified gaussian distribution (scipy.stats.expongauss) - - `#4534 <https://github.com/scipy/scipy/pull/4534>`__: MAINT: benchmarks: make benchmark suite importable on all scipy... - - `#4535 <https://github.com/scipy/scipy/pull/4535>`__: BUG: Changed zip() to list(zip()) so that it could work in Python... - - `#4536 <https://github.com/scipy/scipy/pull/4536>`__: Follow up to pr 4348 (exponential window) - - `#4540 <https://github.com/scipy/scipy/pull/4540>`__: ENH: spatial: Add procrustes analysis - - `#4541 <https://github.com/scipy/scipy/pull/4541>`__: Bench fixes - - `#4542 <https://github.com/scipy/scipy/pull/4542>`__: TST: NumpyVersion dev -> dev0 - - `#4543 <https://github.com/scipy/scipy/pull/4543>`__: BUG: Overflow in savgol_coeffs - - `#4544 <https://github.com/scipy/scipy/pull/4544>`__: pep8 fixes for stats - - `#4546 <https://github.com/scipy/scipy/pull/4546>`__: MAINT: use reduction axis arguments in one-norm estimation - - `#4549 <https://github.com/scipy/scipy/pull/4549>`__: ENH : Added group_delay to scipy.signal - - `#4553 <https://github.com/scipy/scipy/pull/4553>`__: ENH: Significantly faster moment function - - `#4556 <https://github.com/scipy/scipy/pull/4556>`__: DOC: document the changes of the sparse.linalg.svds (optional... - - `#4559 <https://github.com/scipy/scipy/pull/4559>`__: DOC: stats: describe loc and scale parameters in the docstring... - - `#4563 <https://github.com/scipy/scipy/pull/4563>`__: ENH: rewrite of stats.ppcc_plot - - `#4564 <https://github.com/scipy/scipy/pull/4564>`__: Be more (or less) forgiving when user passes +-inf instead of... - - `#4566 <https://github.com/scipy/scipy/pull/4566>`__: DEP: remove a bunch of deprecated function from scipy.stats,... - - `#4570 <https://github.com/scipy/scipy/pull/4570>`__: MNT: Suppress LineSearchWarning's in scipy.optimize tests - - `#4572 <https://github.com/scipy/scipy/pull/4572>`__: ENH: Extract inverse hessian information from L-BFGS-B - - `#4576 <https://github.com/scipy/scipy/pull/4576>`__: ENH: Split signal.lti into subclasses, part of #2912 - - `#4578 <https://github.com/scipy/scipy/pull/4578>`__: MNT: Reconcile docstrings and function signatures - - `#4581 <https://github.com/scipy/scipy/pull/4581>`__: Fix build with Intel MKL on Linux - - `#4583 <https://github.com/scipy/scipy/pull/4583>`__: DOC: optimize: remove references to unused disp kwarg - - `#4584 <https://github.com/scipy/scipy/pull/4584>`__: ENH: scipy.signal - Tukey window - - `#4587 <https://github.com/scipy/scipy/pull/4587>`__: Hermite asymptotic - - `#4593 <https://github.com/scipy/scipy/pull/4593>`__: DOC - add example to RegularGridInterpolator - - `#4595 <https://github.com/scipy/scipy/pull/4595>`__: DOC: Fix erroneous latex characters in tutorial/optimize. - - `#4600 <https://github.com/scipy/scipy/pull/4600>`__: Add return codes to optimize.tnc docs - - `#4603 <https://github.com/scipy/scipy/pull/4603>`__: ENH: Wrap LAPACK ``*lange`` functions for matrix norms - - `#4604 <https://github.com/scipy/scipy/pull/4604>`__: scipy.stats: generalized normal distribution - - `#4609 <https://github.com/scipy/scipy/pull/4609>`__: MAINT: interpolate: fix a few inconsistencies between docstrings... - - `#4610 <https://github.com/scipy/scipy/pull/4610>`__: MAINT: make runtest.py --bench-compare use asv continuous and... - - `#4611 <https://github.com/scipy/scipy/pull/4611>`__: DOC: stats: explain rice scaling; add a note to the tutorial... - - `#4614 <https://github.com/scipy/scipy/pull/4614>`__: BUG: lfilter, the size of zi was not checked correctly for nd... - - `#4617 <https://github.com/scipy/scipy/pull/4617>`__: MAINT: integrate: Clean the C code behind odeint. - - `#4618 <https://github.com/scipy/scipy/pull/4618>`__: FIX: Raise error when window length != data length - - `#4619 <https://github.com/scipy/scipy/pull/4619>`__: Issue #4550: `scipy.stats.mode` - UnboundLocalError on empty... - - `#4620 <https://github.com/scipy/scipy/pull/4620>`__: Fixed a problem (#4590) with svds accepting wrong eigenvalue... - - `#4621 <https://github.com/scipy/scipy/pull/4621>`__: Speed up special.ai_zeros/bi_zeros by 10x - - `#4623 <https://github.com/scipy/scipy/pull/4623>`__: MAINT: some tweaks to spatial.procrustes (private file, html... - - `#4628 <https://github.com/scipy/scipy/pull/4628>`__: Speed up signal.lfilter and add a convolution path for FIR filters - - `#4629 <https://github.com/scipy/scipy/pull/4629>`__: Bug: integrate.nquad; resolve issue #4599 - - `#4631 <https://github.com/scipy/scipy/pull/4631>`__: MAINT: integrate: Remove unused variables in a Fortran test function. - - `#4633 <https://github.com/scipy/scipy/pull/4633>`__: MAINT: Fix convergence message for remez - - `#4635 <https://github.com/scipy/scipy/pull/4635>`__: PEP8: indentation (so that pep8 bot does not complain) - - `#4637 <https://github.com/scipy/scipy/pull/4637>`__: MAINT: generalize a sign function to do the right thing for complex... - - `#4639 <https://github.com/scipy/scipy/pull/4639>`__: Amended typo in apple_sgemv_fix.c - - `#4642 <https://github.com/scipy/scipy/pull/4642>`__: MAINT: use lapack for scipy.linalg.norm - - `#4643 <https://github.com/scipy/scipy/pull/4643>`__: RBF default epsilon too large 2020 - - `#4646 <https://github.com/scipy/scipy/pull/4646>`__: Added atleast_1d around poly in invres and invresz - - `#4647 <https://github.com/scipy/scipy/pull/4647>`__: fix doc pdf build - - `#4648 <https://github.com/scipy/scipy/pull/4648>`__: BUG: Fixes #4408: Vector-valued constraints in minimize() et... - - `#4649 <https://github.com/scipy/scipy/pull/4649>`__: Vonmisesfix - - `#4650 <https://github.com/scipy/scipy/pull/4650>`__: Signal example clean up in Tukey and place_poles - - `#4652 <https://github.com/scipy/scipy/pull/4652>`__: DOC: Fix the error in convolve for same mode - - `#4653 <https://github.com/scipy/scipy/pull/4653>`__: improve erf performance - - `#4655 <https://github.com/scipy/scipy/pull/4655>`__: DEP: deprecate scipy.stats.histogram2 in favour of np.histogram2d - - `#4656 <https://github.com/scipy/scipy/pull/4656>`__: DEP: deprecate scipy.stats.signaltonoise - - `#4660 <https://github.com/scipy/scipy/pull/4660>`__: Avoid extra copy for sparse compressed [:, seq] and [seq, :]... - - `#4661 <https://github.com/scipy/scipy/pull/4661>`__: Clean, rebase of #4478, adding ?gelsy and ?gelsd wrappers - - `#4662 <https://github.com/scipy/scipy/pull/4662>`__: MAINT: Correct odeint messages - - `#4664 <https://github.com/scipy/scipy/pull/4664>`__: Update _monotone.py - - `#4672 <https://github.com/scipy/scipy/pull/4672>`__: fix behavior of scipy.linalg.block_diag for empty input - - `#4675 <https://github.com/scipy/scipy/pull/4675>`__: Fix lsim - - `#4676 <https://github.com/scipy/scipy/pull/4676>`__: Added missing colon to :math: directive in docstring. - - `#4679 <https://github.com/scipy/scipy/pull/4679>`__: ENH: sparse randn - - `#4682 <https://github.com/scipy/scipy/pull/4682>`__: ENH: scipy.signal - Addition of CSD, coherence; Enhancement of... - - `#4684 <https://github.com/scipy/scipy/pull/4684>`__: BUG: various errors in weight calculations in orthogonal.py - - `#4685 <https://github.com/scipy/scipy/pull/4685>`__: BUG: Fixes #4594: optimize.linprog IndexError when a callback... - - `#4686 <https://github.com/scipy/scipy/pull/4686>`__: MAINT: cluster: Clean up duplicated exception raising code. - - `#4688 <https://github.com/scipy/scipy/pull/4688>`__: Improve is_distance_dm exception message - - `#4692 <https://github.com/scipy/scipy/pull/4692>`__: MAINT: stats: Simplify the calculation in tukeylambda._ppf - - `#4693 <https://github.com/scipy/scipy/pull/4693>`__: ENH: added functionality to handle scalars in `stats._chk_asarray` - - `#4694 <https://github.com/scipy/scipy/pull/4694>`__: Vectorization of Anderson-Darling computations. - - `#4696 <https://github.com/scipy/scipy/pull/4696>`__: Fix singleton expansion in lfilter. - - `#4698 <https://github.com/scipy/scipy/pull/4698>`__: MAINT: quiet warnings from cephes. - - `#4701 <https://github.com/scipy/scipy/pull/4701>`__: add Bpoly.antiderivatives / integrals - - `#4703 <https://github.com/scipy/scipy/pull/4703>`__: Add citation of published paper - - `#4706 <https://github.com/scipy/scipy/pull/4706>`__: MAINT: special: avoid out-of-bounds access in specfun - - `#4707 <https://github.com/scipy/scipy/pull/4707>`__: MAINT: fix issues with np.matrix as input to functions related... - - `#4709 <https://github.com/scipy/scipy/pull/4709>`__: ENH: `scipy.stats` now returns namedtuples. - - `#4710 <https://github.com/scipy/scipy/pull/4710>`__: scipy.io.idl: make reader more robust to missing variables in... - - `#4711 <https://github.com/scipy/scipy/pull/4711>`__: Fix crash for unknown chunks at the end of file - - `#4712 <https://github.com/scipy/scipy/pull/4712>`__: Reduce onenormest memory usage - - `#4713 <https://github.com/scipy/scipy/pull/4713>`__: MAINT: interpolate: no need to pass dtype around if it can be... - - `#4714 <https://github.com/scipy/scipy/pull/4714>`__: BENCH: Add benchmarks for stats module - - `#4715 <https://github.com/scipy/scipy/pull/4715>`__: MAINT: polish signal.place_poles and signal/test_ltisys.py - - `#4716 <https://github.com/scipy/scipy/pull/4716>`__: DEP: deprecate mstats.signaltonoise ... - - `#4717 <https://github.com/scipy/scipy/pull/4717>`__: MAINT: basinhopping: fix error in tests, silence /0 warning,... - - `#4718 <https://github.com/scipy/scipy/pull/4718>`__: ENH: stats: can specify f-shapes to fix in fitting by name - - `#4721 <https://github.com/scipy/scipy/pull/4721>`__: Document that imresize converts the input to a PIL image - - `#4722 <https://github.com/scipy/scipy/pull/4722>`__: MAINT: PyArray_BASE is not an lvalue unless the deprecated API... - - `#4725 <https://github.com/scipy/scipy/pull/4725>`__: Fix gengamma _nump failure - - `#4728 <https://github.com/scipy/scipy/pull/4728>`__: DOC: add poch to the list of scipy special function descriptions - - `#4735 <https://github.com/scipy/scipy/pull/4735>`__: MAINT: stats: avoid (a spurious) division-by-zero in skew - - `#4738 <https://github.com/scipy/scipy/pull/4738>`__: TST: silence runtime warnings for some corner cases in `stats`... - - `#4739 <https://github.com/scipy/scipy/pull/4739>`__: BLD: try to build numpy instead of using the one on TravisCI - - `#4740 <https://github.com/scipy/scipy/pull/4740>`__: DOC: Update some docstrings with 'versionadded'. - - `#4742 <https://github.com/scipy/scipy/pull/4742>`__: BLD: make sure that relaxed strides checking is in effect on... - - `#4750 <https://github.com/scipy/scipy/pull/4750>`__: DOC: special: TeX typesetting of rel_entr, kl_div and pseudo_huber - - `#4751 <https://github.com/scipy/scipy/pull/4751>`__: BENCH: add sparse null slice benchmark - - `#4753 <https://github.com/scipy/scipy/pull/4753>`__: BUG: Fixed compilation with recent Cython versions. - - `#4756 <https://github.com/scipy/scipy/pull/4756>`__: BUG: Fixes #4733: optimize.brute finish option is not compatible... - - `#4758 <https://github.com/scipy/scipy/pull/4758>`__: DOC: optimize.leastsq default maxfev clarification - - `#4759 <https://github.com/scipy/scipy/pull/4759>`__: improved stats mle fit - - `#4760 <https://github.com/scipy/scipy/pull/4760>`__: MAINT: count bfgs updates more carefully - - `#4762 <https://github.com/scipy/scipy/pull/4762>`__: BUGS: Fixes #4746 and #4594: linprog returns solution violating... - - `#4763 <https://github.com/scipy/scipy/pull/4763>`__: fix small linprog bugs - - `#4766 <https://github.com/scipy/scipy/pull/4766>`__: BENCH: add signal.lsim benchmark - - `#4768 <https://github.com/scipy/scipy/pull/4768>`__: fix python syntax errors in docstring examples - - `#4769 <https://github.com/scipy/scipy/pull/4769>`__: Fixes #4726: test_cobyla.test_vector_constraints - - `#4770 <https://github.com/scipy/scipy/pull/4770>`__: Mark FITPACK functions as thread safe. - - `#4771 <https://github.com/scipy/scipy/pull/4771>`__: edited scipy/stats/stats.py to fix doctest for fisher_exact - - `#4773 <https://github.com/scipy/scipy/pull/4773>`__: DOC: update 0.16.0 release notes. - - `#4775 <https://github.com/scipy/scipy/pull/4775>`__: DOC: linalg: add funm_psd as a docstring example - - `#4778 <https://github.com/scipy/scipy/pull/4778>`__: Use a dictionary for function name synonyms - - `#4780 <https://github.com/scipy/scipy/pull/4780>`__: Include apparently-forgotten functions in docs - - `#4783 <https://github.com/scipy/scipy/pull/4783>`__: Added many missing special functions to docs - - `#4784 <https://github.com/scipy/scipy/pull/4784>`__: add an axis attribute to PPoly and friends - - `#4785 <https://github.com/scipy/scipy/pull/4785>`__: Brief note about origin of Lena image - - `#4786 <https://github.com/scipy/scipy/pull/4786>`__: DOC: reformat the Methods section of the KDE docstring - - `#4787 <https://github.com/scipy/scipy/pull/4787>`__: Add rice cdf and ppf. - - `#4792 <https://github.com/scipy/scipy/pull/4792>`__: CI: add a kludge for detecting test failures which try to disguise... - - `#4795 <https://github.com/scipy/scipy/pull/4795>`__: Make refguide_check smarter about false positives - - `#4797 <https://github.com/scipy/scipy/pull/4797>`__: BUG/TST: numpoints not updated for incremental Voronoi - - `#4799 <https://github.com/scipy/scipy/pull/4799>`__: BUG: spatial: Fix a couple edge cases for the Mahalanobis metric... - - `#4801 <https://github.com/scipy/scipy/pull/4801>`__: BUG: Fix TypeError in scipy.optimize._trust-region.py when disp=True. - - `#4803 <https://github.com/scipy/scipy/pull/4803>`__: Issues with relaxed strides in QR updating routines - - `#4806 <https://github.com/scipy/scipy/pull/4806>`__: MAINT: use an informed initial guess for cauchy fit - - `#4810 <https://github.com/scipy/scipy/pull/4810>`__: PEP8ify codata.py - - `#4812 <https://github.com/scipy/scipy/pull/4812>`__: BUG: Relaxed strides cleanup in decomp_update.pyx.in - - `#4820 <https://github.com/scipy/scipy/pull/4820>`__: BLD: update Bento build for sgemv fix and install cython blas/lapack... - - `#4823 <https://github.com/scipy/scipy/pull/4823>`__: ENH: scipy.signal - Addition of spectrogram function - - `#4827 <https://github.com/scipy/scipy/pull/4827>`__: DOC: add csd and coherence to __init__.py - - `#4833 <https://github.com/scipy/scipy/pull/4833>`__: BLD: fix issue in linalg ``*lange`` wrappers for g77 builds. - - `#4841 <https://github.com/scipy/scipy/pull/4841>`__: TST: fix test failures in scipy.special with mingw32 due to test... - - `#4842 <https://github.com/scipy/scipy/pull/4842>`__: DOC: update site.cfg.example. 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ANN: Bokeh 0.9.2 released
by Damian Avila July 24, 2015

July 24, 2015

Hi all, On behalf of the Bokeh team, I am excited to announce the release of version 0.9.2 of Bokeh, an interactive web plotting library for Python... and other languages! This release focused mainly in provide several bugfixes over our last 0.9.1 release bugs. Additionally, we also updated the MPL compatibility layer. You should expect some more point releases before 0.10.0 which is in active development in a separate branch. Some of the highlights are: * Several nan-related fixes including the slow rendering of plots * Removed some unused dependencies * Fixes in our automated release process * Fixed the patchs vanishing on selection * More control over ticks and gridlines * MPL compatibility updated * Several examples updated See the CHANGELOG <https://github.com/bokeh/bokeh/blob/master/CHANGELOG> for full details. If you are using Anaconda/miniconda, you can install it with conda: *conda install bokeh* or directly from our Binstar main channel with: *conda install -c bokeh bokeh* Alternatively, you can also install it with pip: *pip install bokeh* If you want to use Bokeh in standalone Javascript applications, BokehJS is available by CDN at: * http://cdn.pydata.org/bokeh/release/bokeh-0.9.2.min.js * http://cdn.pydata.org/bokeh/release/bokeh-0.9.2.min.css Additionally, BokehJS is also installable with the Node Package Manager at https://www.npmjs.com/package/bokehjs Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io Cheers. -- *Damián Avila* *Software Developer* *@damian_avila* *davila(a)continuum.io <davila(a)continuum.io>* *+5492215345134 | cell (ARG)*

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