Mailman 3 October 2016 - Python-announce-list

ANN: Experimental Ruby to Python 3 translator
by Michal Molhanec 09 Oct '16

09 Oct '16

Experimental Ruby to Python 3 translator Currently very far from production-ready state, more like a toy for experiments. That said, it is however able to translate Ruby Prawn library for generating PDF files and the produced library is able to produce simple PDF files. Code + Prawn example: https://github.com/molhanec/rb2py/ Version: initial release Translator licence: zlib E-mail: michal AT molhanec DOT net Regards Michal Molhanec

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NumPy 1.11.2 released
by Charles R Harris 04 Oct '16

04 Oct '16

*Hi All,* I'm pleased to announce the release of Numpy 1.11.2. This release supports Python 2.6 - 2.7, and 3.2 - 3.5 and fixes bugs and regressions found in Numpy 1.11.1. Wheels for Linux, Windows, and OSX can be found on PyPI. Sources are available on both PyPI and Sourceforge <https://sourceforge.net/projects/numpy/files/NumPy/1.11.2/>. Thanks to all who were involved in this release. Contributors and merged pull requests are listed below. *Contributors to v1.11.2* - Allan Haldane - Bertrand Lefebvre - Charles Harris - Julian Taylor - Loïc Estève - Marshall Bockrath-Vandegrift + - Michael Seifert + - Pauli Virtanen - Ralf Gommers - Sebastian Berg - Shota Kawabuchi + - Thomas A Caswell - Valentin Valls + - Xavier Abellan Ecija + A total of 14 people contributed to this release. People with a "+" by their names contributed a patch for the first time. *Pull requests merged for v1.11.2* - #7736 <https://github.com/numpy/numpy/pull/7736>: Backport 4619, BUG: many functions silently drop keepdims kwarg - #7738 <https://github.com/numpy/numpy/pull/7738>: Backport 5706, ENH: add extra kwargs and update doc of many MA... - #7778 <https://github.com/numpy/numpy/pull/7778>: DOC: Update Numpy 1.11.1 release notes. - #7793 <https://github.com/numpy/numpy/pull/7793>: Backport 7515, BUG: MaskedArray.count treats negative axes incorrectly - #7816 <https://github.com/numpy/numpy/pull/7816>: Backport 7463, BUG: fix array too big error for wide dtypes. - #7821 <https://github.com/numpy/numpy/pull/7821>: Backport 7817, BUG: Make sure npy_mul_with_overflow_<type> detects... - #7824 <https://github.com/numpy/numpy/pull/7824>: Backport 7820, MAINT: Allocate fewer bytes for empty arrays. - #7847 <https://github.com/numpy/numpy/pull/7847>: Backport 7791, MAINT,DOC: Fix some imp module uses and update... - #7849 <https://github.com/numpy/numpy/pull/7849>: Backport 7848, MAINT: Fix remaining uses of deprecated Python... - #7851 <https://github.com/numpy/numpy/pull/7851>: Backport 7840, Fix ATLAS version detection - #7870 <https://github.com/numpy/numpy/pull/7870>: Backport 7853, BUG: Raise RuntimeError when reloading numpy is... - #7896 <https://github.com/numpy/numpy/pull/7896>: Backport 7894, BUG: construct ma.array from np.array which contains... - #7904 <https://github.com/numpy/numpy/pull/7904>: Backport 7903, BUG: fix float16 type not being called due to... - #7917 <https://github.com/numpy/numpy/pull/7917>: BUG: Production install of numpy should not require nose. - #7919 <https://github.com/numpy/numpy/pull/7919>: Backport 7908, BLD: Fixed MKL detection for recent versions of... - #7920 <https://github.com/numpy/numpy/pull/7920>: Backport #7911: BUG: fix for issue#7835 (ma.median of 1d) - #7932 <https://github.com/numpy/numpy/pull/7932>: Backport 7925, Monkey-patch _msvccompile.gen_lib_option like... - #7939 <https://github.com/numpy/numpy/pull/7939>: Backport 7931, BUG: Check for HAVE_LDOUBLE_DOUBLE_DOUBLE_LE in... - #7953 <https://github.com/numpy/numpy/pull/7953>: Backport 7937, BUG: Guard against buggy comparisons in generic... - #7954 <https://github.com/numpy/numpy/pull/7954>: Backport 7952, BUG: Use keyword arguments to initialize Extension... - #7955 <https://github.com/numpy/numpy/pull/7955>: Backport 7941, BUG: Make sure numpy globals keep identity after... - #7972 <https://github.com/numpy/numpy/pull/7972>: Backport 7963, BUG: MSVCCompiler grows 'lib' & 'include' env... - #7990 <https://github.com/numpy/numpy/pull/7990>: Backport 7977, DOC: Create 1.11.2 release notes. - #8005 <https://github.com/numpy/numpy/pull/8005>: Backport 7956, BLD: remove __NUMPY_SETUP__ from builtins at end... - #8007 <https://github.com/numpy/numpy/pull/8007>: Backport 8006, DOC: Update 1.11.2 release notes. - #8010 <https://github.com/numpy/numpy/pull/8010>: Backport 8008, MAINT: Remove leftover imp module imports. - #8012 <https://github.com/numpy/numpy/pull/8012>: Backport 8011, DOC: Update 1.11.2 release notes. - #8020 <https://github.com/numpy/numpy/pull/8020>: Backport 8018, BUG: Fixes return for np.ma.count if keepdims... - #8024 <https://github.com/numpy/numpy/pull/8024>: Backport 8016, BUG: Fix numpy.ma.median. - #8031 <https://github.com/numpy/numpy/pull/8031>: Backport 8030, BUG: fix np.ma.median with only one non-masked... - #8032 <https://github.com/numpy/numpy/pull/8032>: Backport 8028, DOC: Update 1.11.2 release notes. - #8044 <https://github.com/numpy/numpy/pull/8044>: Backport 8042, BUG: core: fix bug in NpyIter buffering with discontinuous... - #8046 <https://github.com/numpy/numpy/pull/8046>: Backport 8045, DOC: Update 1.11.2 release notes. Enjoy, Chuck

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StdConfigParser 0.7 release
by Wolfgang 03 Oct '16

03 Oct '16

Announcing the release of StdConfigParser 0.7 What is it? ----------- This module provides a StdConfigParser class a simple standard INI configuration parser with a specified format. All is based on the Python standard library configuration parser. For Python 2.7, 3.3, 3.4 it acts as backport of Python 3.5 configparser module. Additionally it extends the configuration parser with useful converter methods. They allow really powerful configurations by keeping all simple for the user. All in one file with no dependencies. What's new in 0.7 ----------------- - Allow ‘:’ as option (key) value separator. - More examples in documentation. - Default provided converters can be overwritten. Links ----- - Download: https://pypi.python.org/pypi/StdConfigParser - Source: https://github.com/tds333/stdconfigparser - Documentation: http://stdconfigparser.readthedocs.io/en/latest/index.html Kind regards, Wolfgang

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Grako 3.16.0 released
by Juancarlo Añez 03 Oct '16

03 Oct '16

*Grako* (for *grammar compiler*) is a tool that takes grammars in a variation of EBNF <http://en.wikipedia.org/wiki/Ebnf> as input, and outputs memoizing <http://en.wikipedia.org/wiki/Memoization> (Packrat <http://bford.info/packrat/>) PEG <http://en.wikipedia.org/wiki/Parsing_expression_grammar> parsers in Python <http://python.org/>. 3.16.0 <https://bitbucket.org/apalala/grako/branches/compare/3.16.0%0D3.15.1> @ 2016-10-01 Added - Test and publish *Grako* using Travis CI <https://travis-ci.org/>. - Added support for case-insensitivity to grako.symtables. - A base class can now be specified along with the object model class name in grammar rules. integer::Integer::Literal Changed - Reduced the memory used by symbol tables by replacing symtables.SymbolReference by the referencing objectmodel.Node. - Now grako.grammars.Decorator is public. - Demoted support for *left recursion* to *experimental*. It has been reported that even some simple cases are not handled correctly.

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ANN: pandas v0.19.0 released
by Joris Van den Bossche 03 Oct '16

03 Oct '16

Hi all, I'm happy to announce pandas 0.19.0 has been released. This is a major release from 0.18.1 and includes a number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. See the Whatsnew <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html> file for more information. We recommend that all users upgrade to this version. This is the work of 5 months of development by 117 contributors. A big thank you to all contributors! Joris --- *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 of the 0.19.0 release include:* - New method merge_asof for asof-style time-series joining, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - The .rolling() method is now time-series aware, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - read_csv now supports parsing Categorical data, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - A function union_categorical has been added for combining categoricals, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - PeriodIndex now has its own period dtype, and changed to be more consistent with other Index classes. See here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - Sparse data structures gained enhanced support of int and bool dtypes, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> - Comparison operations with Series no longer ignores the index, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> for an overview of the API changes. - Introduction of a pandas development API for utility functions, see here <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html#whatsnew-…> . - Deprecation of Panel4D and PanelND. We recommend to represent these types of n-dimensional data with the xarray package <http://xarray.pydata.org/en/stable/>. - Removal of the previously deprecated modules pandas.io.data, pandas.io.wb, pandas.tools.rplot. See the Whatsnew <http://pandas.pydata.org/pandas-docs/version/0.19.0/whatsnew.html> file for more information. *How to get it:* Source tarballs and windows/mac/linux wheels are available on PyPI (thanks to Christoph Gohlke for the windows wheels, and to Matthew Brett for setting up the mac/linux wheels). Conda packages are already available via the conda-forge channel (conda install pandas -c conda-forge). It will be available on the main channel shortly. *Issues:* Please report any issues on our issue tracker: https://github.com/pydata/pandas/issues *Thanks to all the contributors:* - adneu - Adrien Emery - agraboso - Alex Alekseyev - Alex Vig - Allen Riddell - Amol - Amol Agrawal - Andy R. Terrel - Anthonios Partheniou - babakkeyvani - Ben Kandel - Bob Baxley - Brett Rosen - c123w - Camilo Cota - Chris - chris-b1 - Chris Grinolds - Christian Hudon - Christopher C. Aycock - Chris Warth - cmazzullo - conquistador1492 - cr3 - Daniel Siladji - Douglas McNeil - Drewrey Lupton - dsm054 - Eduardo Blancas Reyes - Elliot Marsden - Evan Wright - Felix Marczinowski - Francis T. O’Donovan - Gábor Lipták - Geraint Duck - gfyoung - Giacomo Ferroni - Grant Roch - Haleemur Ali - harshul1610 - Hassan Shamim - iamsimha - Iulius Curt - Ivan Nazarov - jackieleng - Jeff Reback - Jeffrey Gerard - Jenn Olsen - Jim Crist - Joe Jevnik - John Evans - John Freeman - John Liekezer - Johnny Gill - John W. O’Brien - John Zwinck - Jordan Erenrich - Joris Van den Bossche - Josh Howes - Jozef Brandys - Kamil Sindi - Ka Wo Chen - Kerby Shedden - Kernc - Kevin Sheppard - Matthieu Brucher - Maximilian Roos - Michael Scherer - Mike Graham - Mortada Mehyar - mpuels - Muhammad Haseeb Tariq - Nate George - Neil Parley - Nicolas Bonnotte - OXPHOS - Pan Deng / Zora - Paul - Pauli Virtanen - Paul Mestemaker - Pawel Kordek - Pietro Battiston - pijucha - Piotr Jucha - priyankjain - Ravi Kumar Nimmi - Robert Gieseke - Robert Kern - Roger Thomas - Roy Keyes - Russell Smith - Sahil Dua - Sanjiv Lobo - Sašo Stanovnik - Shawn Heide - sinhrks - Sinhrks - Stephen Kappel - Steve Choi - Stewart Henderson - Sudarshan Konge - Thomas A Caswell - Tom Augspurger - Tom Bird - Uwe Hoffmann - wcwagner - WillAyd - Xiang Zhang - Yadunandan - Yaroslav Halchenko - YG-Riku - Yuichiro Kaneko - yui-knk - zhangjinjie - znmean - 颜发才（Yan Facai）

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Thonny 2.0 released (Python IDE for beginners)
by Aivar Annamaa 01 Oct '16

01 Oct '16

Hi! Thonny is Python IDE for learning and teaching programming. It is developed in University of Tartu, Estonia. It has an easy to use debugger which shows clearly how Python executes your programs. Unlike most debuggers, it can even show the steps of evaluating an expression, visually explain references, function calls, exceptions etc. For more info and downloads see http://thonny.cs.ut.ee/ [1] best regards, Aivar Annamaa University of Tartu Institute of Computer Science -------------------------------- <a href="http://thonny.cs.ut.ee">Thonny 2.0</a> - Python IDE for beginners (01-Oct-16) Links: ------ [1] http://thonny.cs.ut.ee/

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Sphinx-1.4.7 released
by Komiya Takeshi 01 Oct '16

01 Oct '16

Hi all, I'm delighted to announce the release of Sphinx 1.4.7, now available on the Python package index at <http://pypi.python.org/pypi/Sphinx>. It includes about 16 bug fixes for the 1.4.6 release series. For the full changelog, go to <http://www.sphinx-doc.org/en/stable/changes.html>. Thanks to all collaborators and contributers! What is it? =========== Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText source files). Website: http://sphinx-doc.org/ IRC: #sphinx-doc on irc.freenode.net Enjoy! -- Takeshi KOMIYA

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New Python User group in Reggio Emilia (Italy)
by Alessandro Cucci 01 Oct '16

01 Oct '16

Hello, I am starting a new Python user group in Reggio Emilia (Italy). To do so, I started a webite with a temporary landing page @ www.pyre.it Currently i'm developing the real website in Python using Flask and MongoDB The website is in Italian, I hope the language won't be a problem for you. Your comments are welcome. *Alessandro Cucci* *Software Developer* @ Energee3.srl [image: http://www.energee3.com/] <http://www.energee3.com/> (+39) 340 6419681 | alessandro.cucci(a)gmail.com | www.alessandrocucci.it Linkedin <http://www.linkedin.com/in/alessandrocucci> | +AlessandroCucci <https://plus.google.com/+AlessandroCucci> | @alessandrocucci <https://twitter.com/alessandrocucci>

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