Mailman 3 March 2016 - Python-announce-list

ANN: pandas v0.18.0 Final released
by Jeff Reback 12 Mar '16

12 Mar '16

Hi, This is a major release from 0.17.1 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. This was a release of 3.5 months with 381 commits by 100 authors encompassing 465 issues and 290 pull-requests. *What is it:* *pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. *Highlights*: - pandas >= 0.18.0 will no longer support compatibility with Python version 2.6 GH7718 <https://github.com/pydata/pandas/issues/7718> or version 3.3 GH11273 <https://github.com/pydata/pandas/issues/11273> - Moving and expanding window functions are now methods on Series and DataFrame similar to .groupby like objects, see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> . - Adding support for a RangeIndex as a specialized form of the Int64Index for memory savings, see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> . - API breaking .resample changes to make it more .groupby like, see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> - Removal of support for positional indexing with floats, which was deprecated since 0.14.0. This will now raise a TypeError, see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> - The .to_xarray() function has been added for compatibility with the xarray package <http://xarray.pydata.org/en/stable/> see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> . - The read_sas() function has been enhanced to read sas7bdat files, see here <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> - Addition of the .str.extractall() method <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…>, and API changes to the the .str.extract() method <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…>, and the .str.cat() method <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html#whatsnew-…> - pd.test() top-level nose test runner is available GH4327 <https://github.com/pydata/pandas/issues/4327> See the Whatsnew <http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew.html> for much more information and the full Documentation <http://pandas.pydata.org/pandas-docs/version/0.18.0/> link. *How to get it:* Source tarballs, windows wheels, and macosx wheels are available on PyPI <https://pypi.python.org/pypi/pandas> Installation via conda is: - conda install pandas windows wheels are courtesy of Christoph Gohlke and are built on Numpy 1.10 macosx wheels are courtesy of Matthew Brett. *Issues:* Please report any issues on our issue tracker <https://github.com/pydata/pandas/issues>: Jeff *Thanks to all of the contributors* - ARF - Alex Alekseyev - Andrew McPherson - Andrew Rosenfeld - Anthonios Partheniou - Anton I. Sipos - Ben - Ben North - Bran Yang - Chris - Chris Carroux - Christopher C. Aycock - Christopher Scanlin - Cody - Da Wang - Daniel Grady - Dorozhko Anton - Dr-Irv - Erik M. Bray - Evan Wright - Francis T. O'Donovan - Frank Cleary - Gianluca Rossi - Graham Jeffries - Guillaume Horel - Henry Hammond - Isaac Schwabacher - Jean-Mathieu Deschenes - Jeff Reback - Joe Jevnik - John Freeman - John Fremlin - Jonas Hoersch - Joris Van den Bossche - Joris Vankerschaver - Justin Lecher - Justin Lin - Ka Wo Chen - Keming Zhang - Kerby Shedden - Kyle - Marco Farrugia - MasonGallo - MattRijk - Matthew Lurie - Maximilian Roos - Mayank Asthana - Mortada Mehyar - Moussa Taifi - Navreet Gill - Nicolas Bonnotte - Paul Reiners - Philip Gura - Pietro Battiston - RahulHP - Randy Carnevale - Rinoc Johnson - Rishipuri - Sangmin Park - Scott E Lasley - Sereger13 - Shannon Wang - Skipper Seabold - Thierry Moisan - Thomas A Caswell - Toby Dylan Hocking - Tom Augspurger - Travis - Trent Hauck - Tux1 - Varun - Wes McKinney - Will Thompson - Yoav Ram - Yoong Kang Lim - Yoshiki Vázquez Baeza - Young Joong Kim - Younggun Kim - Yuval Langer - alex argunov - behzad nouri - boombard - ian-pantano - chromy - daniel - dgram0 - gfyoung - hack-c - hcontrast - jfoo - kaustuv deolal - llllllllll - ranarag - rockg - scls19fr - seales - sinhrks - srib - surveymedia.ca - tworec

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Grako 3.7.0 released
by Juancarlo Añez 10 Mar '16

10 Mar '16

Grako (for grammar compiler) is a tool that takes grammars in a variation of EBNF as input, and outputs memoizing (Packrat) PEG parsers in Python. In this release: * Added suport for `constant` expressions which don't consume any input yet return the specified constant. * Now an empty closure ({}) consumes no input and generates an empty list as AST. * Removed the --binary command-line option. It went unused, it was untested, and it was incorrectly implemented. * Generated parsers pass on KeyboardInterrupt. * Moved the bulk of the entry code for generated parsers to util.generic_main(). This allows for the verbose code to be verified by the usual tools. * Deprecate {e}* and {e}- by removing them from the documentation. * Added the Python-inspired join operator, s.{e}, as a convenient syntax for parsing sequences with separators. Links: https://pypi.python.org/pypi/grako/ https://bitbucket.org/apalala/grako/ -- Juancarlo *Añez* tel:+58(414)901-2021 skype:juancarloanez

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ANN: PROVABLEPRIME V.2.0 released
by Mok-Kong Shen 10 Mar '16

10 Mar '16

Version 2.0 of PROVABLEPRIME contains an additional application example 3S (sending messages with the signature of the sender). http://s13.zetaboards.com/Crypto/topic/7234475/1/ M. K. Shen

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Nikola v7.7.7 released!
by Roberto Alsina 10 Mar '16

10 Mar '16

On behalf of the Nikola team, I am pleased to announce the immediate availability of Nikola v7.7.7. It fixes some bugs and adds new features. What is Nikola? =============== Nikola is a static site and blog generator, written in Python. It can use Mako and Jinja2 templates, and input in many popular markup formats, such as reStructuredText and Markdown — and can even turn Jupyter (IPython) Notebooks into blog posts! It also supports image galleries, and is multilingual. Nikola is flexible, and page builds are extremely fast, courtesy of doit (which is rebuilding only what has been changed). Find out more at the website: https://getnikola.com/ Downloads ========= Install using `pip install Nikola` or download tarballs on [GitHub][] and [PyPI][]. [GitHub]: https://github.com/getnikola/nikola/releases/tag/v7.7.7 [PyPI]: https://pypi.python.org/pypi/Nikola/7.7.7 Changes ======= Features -------- * New ``--one-file`` option to wordpress importer (Issue #2262) * New Pygal-based chart shortcode (Issue #2170) * Add ``post_type`` to post-list directive (Issue #2272) * Use ``sys.executable`` for launching pip in ``plugin`` (Issue #2275) Bugfixes -------- * Fix Indonesian translation (Issue #2291) * Fix a JSON conversion bug in the WordPress importer (Issue #2264) * Don’t create download directories when not downloading WordPress attachments (Issue #2260) * Don’t display "Good link" messages in ``nikola check -l`` by default, can be re-enabled with ``-v`` option (Issue #2268) * Fix a format string in ``nikola check`` (Issue #2267) * Don't crash wordpress importer when posts are "empty" (Issue #2263) * Don't put untranslated and nonexistant posts in sitemap (Issue #2289)

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EuroPython 2016: Talk voting will start on Monday
by M.-A. Lemburg 10 Mar '16

10 Mar '16

Having received almost 300 great proposals for talks, trainings, helpdesks and posters, we now call out to all attendees to vote for what you want to see on the conference schedule. Please note that you have to have a ticket for EuroPython 2016, or have submitted a talk proposal yourself, in order to participate. Attendees: This will be your chance to shape the conference ! You will be able to search for topics and communicate your personal interest by casting your vote for each talk and training submission on our talk voting page: *** https://ep2016.europython.eu/en/talk-voting/ *** Talk Voting Talk voting will be open from Monday, March 14, until Sunday, March 20. The program workgroup (WG) will then use the talk voting results as basis for their talk selection and announce the list of accepted talks late in March and the schedule shortly thereafter in April. With gravitational regards, -- EuroPython 2016 Team http://ep2016.europython.eu/ http://www.europython-society.org/

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ANN: Python 201 Book Kickstarter Campaign
by Mike Driscoll 09 Mar '16

09 Mar '16

I am happy to announce my latest project, which is the sequel to my Python 101 book: Python 201 – Intermediate Python. I am launching a Kickstarter campaign to help fund its publication so if you’re interested in supporting, you can do so here: https://www.kickstarter.com/projects/34257246/python-201-intermediate-python If you already know the basics of Python and now you want to go to the next level, then this is the book for you! This book is for *intermediate level *Python programmers only. There won’t be any beginner chapters here. *Note*: This book will be covering *Python 3* *Here are some of the topics covered:* - generators / iterators - Functional idioms (map, filter, reduce). - Writing your own context managers. - Command-line argument processing - collections - itertools - functools - Function Overloading - Basics of regular expressions - httplib / urllib (client / server) - web scraping - Basics of Unicode (encoding and codecs) - Timing code (benchmarking) - Testing (unit tests, doc tests, mock, coverage) ----------------- Mike Driscoll Blog: http://blog.pythonlibrary.org Book: https://gumroad.com/l/bppWr

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EuroPython 2016: Financial Aid Available
by M.-A. Lemburg 08 Mar '16

08 Mar '16

We are happy to announce a program for people in need of financial aid to attend EuroPython. You can find all the details on our financial aid page: *** https://ep2016.europython.eu/en/registration/financial-aid/ *** Financial Aid Program In short, we will be giving out grants in three categories: * Free tickets * Travel costs * Accommodation Anyone who wants to attend EuroPython 2016 can apply, including people who have already purchased tickets. We want to make the event affordable for as many people as possible. Financial Aid Sponsor --------------------- Financial aid is sponsored in part by: The Python Software Foundation (PSF) *** http://python.org/psf/ *** Looking for financial aid sponsors ---------------------------------- We are still looking for sponsors to increase the budget we have available for financial aid. If your company would like to sign up as financial aid sponsor, please contact the sponsors team at sponsoring(a)europython.eu. With gravitational regards, -- EuroPython 2016 Team http://ep2016.europython.eu/ http://www.europython-society.org/

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[ANN] bcolz 1.0.0 RC1 released
by Francesc Alted 08 Mar '16

08 Mar '16

========================== Announcing bcolz 1.0.0 RC1 ========================== What's new ========== Yeah, 1.0.0 is finally here. We are not introducing any exciting new feature (just some optimizations and bug fixes), but bcolz is already 6 years old and it implements most of the capabilities that it was designed for, so I decided to release a 1.0.0 meaning that the format is declared stable and that people can be assured that future bcolz releases will be able to read bcolz 1.0 data files (and probably much earlier ones too) for a long while. Such a format is fully described at: https://github.com/Blosc/bcolz/blob/master/DISK_FORMAT_v1.rst Also, a 1.0.0 release means that bcolz 1.x series will be based on C-Blosc 1.x series (https://github.com/Blosc/c-blosc). After C-Blosc 2.x (https://github.com/Blosc/c-blosc2) would be out, a new bcolz 2.x is expected taking advantage of shiny new features of C-Blosc2 (more compressors, more filters, native variable length support and the concept of super-chunks), which should be very beneficial for next bcolz generation. Important: this is a Release Candidate, so please test it as much as you can. If no issues would appear in a week or so, I will proceed to tag and release 1.0.0 final. Enjoy! For a more detailed change log, see: https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst What it is ========== *bcolz* provides columnar and compressed data containers that can live either on-disk or in-memory. Column storage allows for efficiently querying tables with a large number of columns. It also allows for cheap addition and removal of column. In addition, bcolz objects are compressed by default for reducing memory/disk I/O needs. The compression process is carried out internally by Blosc, an extremely fast meta-compressor that is optimized for binary data. Lastly, high-performance iterators (like ``iter()``, ``where()``) for querying the objects are provided. bcolz can use numexpr internally so as to accelerate many vector and query operations (although it can use pure NumPy for doing so too). numexpr optimizes the memory usage and use several cores for doing the computations, so it is blazing fast. Moreover, since the carray/ctable containers can be disk-based, and it is possible to use them for seamlessly performing out-of-memory computations. bcolz has minimal dependencies (NumPy), comes with an exhaustive test suite and fully supports both 32-bit and 64-bit platforms. Also, it is typically tested on both UNIX and Windows operating systems. Together, bcolz and the Blosc compressor, are finally fulfilling the promise of accelerating memory I/O, at least for some real scenarios: http://nbviewer.ipython.org/github/Blosc/movielens-bench/blob/master/queryi… Other users of bcolz are Visualfabriq (http://www.visualfabriq.com/) the Blaze project (http://blaze.pydata.org/), Quantopian (https://www.quantopian.com/) and Scikit-Allel (https://github.com/cggh/scikit-allel) which you can read more about by pointing your browser at the links below. * Visualfabriq: * *bquery*, A query and aggregation framework for Bcolz: * https://github.com/visualfabriq/bquery * Blaze: * Notebooks showing Blaze + Pandas + BColz interaction: * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-csv.ipynb * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-bcolz.ip… * Quantopian: * Using compressed data containers for faster backtesting at scale: * https://quantopian.github.io/talks/NeedForSpeed/slides.html * Scikit-Allel * Provides an alternative backend to work with compressed arrays * https://scikit-allel.readthedocs.org/en/latest/model/bcolz.html Installing ========== bcolz is in the PyPI repository, so installing it is easy:: $ pip install -U bcolz Resources ========= Visit the main bcolz site repository at: http://github.com/Blosc/bcolz Manual: http://bcolz.blosc.org Home of Blosc compressor: http://blosc.org User's mail list: bcolz(a)googlegroups.com http://groups.google.com/group/bcolz License is the new BSD: https://github.com/Blosc/bcolz/blob/master/LICENSES/BCOLZ.txt Release notes can be found in the Git repository: https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst ---- **Enjoy data!** -- Francesc Alted

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ANN: eGenix pyOpenSSL Distribution 0.13.14
by eGenix Team: M.-A. Lemburg 07 Mar '16

07 Mar '16

________________________________________________________________________ ANNOUNCING eGenix.com pyOpenSSL Distribution Version 0.13.14 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-0.13.14.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 1.0.1r to 1.0.1s. See https://www.openssl.org/news/secadv/20160301.txt for a complete list of changes. The following fixes are relevant for pyOpenSSL applications: - CVE-2016-0800 (DROWN attack) A cross-protocol attack was discovered that could lead to decryption of TLS sessions by using a server supporting SSLv2 and EXPORT cipher suites as a Bleichenbacher RSA padding oracle. As additional result of this attack, the default OpenSSL configuration no longer includes the SSLv2 protocol support starting with 1.0.1s. - Several low priority issues related to memory leaks. * Disabled SSLv2 support in all our OpenSSL library builds (no-ssl2). * Disabled TLS compression in all our OpenSSL library builds (no-comp). This may lead to problems with other libraries that still expect to find these APIs. pyOpenSSL itself does not use them. * Updated the Mozilla CA root bundle to version 2016-03-01. Nothing much changed, except the date of the bundle file. 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 Python software project, consulting and product company delivering expert services and professional quality products for companies, Python users and developers. We specialize in database driven applications, large scale software designs and integration. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, Mar 07 2016) >>> Python Projects, Coaching and Consulting ... http://www.egenix.com/ >>> Python Database Interfaces ... http://products.egenix.com/ >>> Plone/Zope Database Interfaces ... http://zope.egenix.com/ ________________________________________________________________________ 2016-02-19: Released eGenix PyRun 2.1.2 ... http://egenix.com/go88 ::: We implement business ideas - efficiently in both time and costs ::: 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/ http://www.malemburg.com/

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poliastro 0.5, Astrodynamics in Python
by Juan Luis Cano 06 Mar '16

06 Mar '16

Hello all, I am very pleased to announce poliastro 0.5.0, a MIT licensed, pure Python library for studying Orbital Mechanics and Astrodynamics problems! This is a new major release, focused on expanding the initial orbit determination capabilities and solving some infrastructure challenges. Among the new features are: * New algorithm to solve Lambert's problem * New documentation, hosted on Read the Docs * Python 3 support only See the changelog for a more complete list of changes: http://poliastro.readthedocs.org/en/v0.5.0/changelog.html#new-in-poliastro-… You can install it using either pip or conda: $ pip install poliastro $ conda install poliastro --channel poliastro If you want to see an overview of poliastro capabilities, check out the gallery of Jupyter notebooks where we list some specific applications and interesting problems analyzed with this library: http://nbviewer.jupyter.org/github/poliastro/poliastro/blob/v0.5.0/examples… poliastro is now actively seeking for contributors to expand the capabilities of the library, improve its documentation, test it on other settings and operative systems and much more. If you are willing to help, please join our new mailing list on groups.io: https://groups.io/g/poliastro-dev This release comes just in time for the 6th International Conference on Astrodynamics Tools and Techniques (ICATT), taking place in Darmstadt, Germany from March 14th to 17th where I will deliver a paper and a talk to describe poliastro in depth: https://indico.esa.int/indico/event/111/session/32/contribution/5 poliastro is an open source collection of Python subroutines for solving problems in Astrodynamics and Orbital Mechanics. It combines cutting edge technologies like Python JIT compiling (using numba) with young, well developed astronomy packages (like astropy and jplephem) to provide a user friendly API for solving Astrodynamics problems. It is therefore an experiment to mix the best Python open source practices with my love for Orbital Mechanics. The project is still a work in progress and the API is subject to change. Contributions, bug reports, suggestions and advice are more than welcome! /Per Python ad Astra! /Juan Luis Cano Rodríguez

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