Mailman 3 December 2014 - Python-announce-list

Authomatic 0.0.10
by Peter Hudec 19 Dec '14

19 Dec '14

Hi, I would like to announce that Authomatic 0.0.10 is out with following changes: http://peterhudec.github.io/authomatic/changelog.html#version-0-0-10 * Fixed a bug when saving non-JSON-serializable values to third party sessions by the python-openid package caused a KeyError. * Added the oauth2.Eventbrite provider. * Added the oauth2.Amazon provider. * Improved OAuth 2.0 Error Handling. Authomatic is a framework agnostic authorization / authentication client library for Python web applications with out-of-the-box support for Flask, Webapp2, Django and Pyramid frameworks, 18 Oauth 2.0, and 11 Oauth 1.0a providers as well as OpenID. Check out the live demo running on Google App Engine: https://authomatic-example.appspot.com/ Project home: http://peterhudec.github.io/authomatic Enjoy! Peter Hudec

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SQLObject 1.7.3
by Oleg Broytman 18 Dec '14

18 Dec '14

Hello! I'm pleased to announce version 1.7.3, a release with minor documentation update of branch 1.7 of SQLObject. What's new in SQLObject ======================= * Extend setup.py: include docs and tests into the egg. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Python 2.6 or 2.7 is required. Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: https://pypi.python.org/pypi/SQLObject/1.7.3 News and changes: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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[ANN]: distlib 0.2.0 released on PyPI
by Vinay Sajip 18 Dec '14

18 Dec '14

I've just released version 0.2.0 of distlib on PyPI [1]. For newcomers, distlib is a library of packaging functionality which is intended to be usable as the basis for third-party packaging tools. The main changes in this release are as follows: Updated match_hostname to use the latest Python implementation. Updates to better support PEP 426 / PEP 440. You can now provide interpreter arguments in shebang lines written by distlib. Removed reference to __PYVENV_LAUNCHER__ (relevant to OS X only). A more detailed change log is available at [2]. Please try it out, and if you find any problems or have any suggestions for improvements, please give some feedback using the issue tracker! [3] Regards, Vinay Sajip [1] https://pypi.python.org/pypi/distlib/0.2.0 [2] http://pythonhosted.org/distlib/overview.html#change-log-for-distlib [3] https://bitbucket.org/pypa/distlib/issues/new

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[ANN] Summer School "Advanced Scientific Programming in Python" in Munich, Germany
by Tiziano Zito 17 Dec '14

17 Dec '14

Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, the Bernstein Center for Computational Neuroscience Munich and the Graduate School of Systemic Neurosciences Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python is assumed. Participants without any prior experience with Python should work through the proposed introductory materials before the course. Date and Location ================= August 31—September 5, 2015. Munich, Germany. Preliminary Program =================== Day 0 (Mon Aug 31) — Best Programming Practices • Best Practices for Scientific Computing • Version control with git and how to contribute to Open Source with github • Object-oriented programming & design patterns Day 1 (Tue Sept 1) — Software Carpentry • Test-driven development, unit testing & quality assurance • Debugging, profiling and benchmarking techniques • Advanced Python: generators, decorators, and context managers Day 2 (Wed Sept 2) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C with Cython • Contributing to Open Source Software/Programming in teams Day 3 (Thu Sept 3) — The Quest for Speed • Writing parallel applications in Python • Python 3: why should I care • Programming project Day 4 (Fri Sept 4) — Efficient Memory Management • When parallelization does not help: the starving CPUs problem • Programming project Day 5 (Sat Sept 5) — Practical Software Development • Programming project • The Pelita Tournament Every evening we will have the tutors' consultation hour: Tutors will answer your questions and give suggestions for your own projects. Applications ============ You can apply on-line at https://python.g-node.org Applications must be submitted before 23:59 UTC, March 31, 2015. Notifications of acceptance will be sent by May 1, 2015. No fee is charged but participants should take care of travel, living, and accommodation expenses. Candidates will be selected on the basis of their profile. Places are limited: acceptance rate is usually around 20%. Prerequisites: You are supposed to know the basics of Python to participate in the lectures Preliminary Faculty =================== • Francesc Alted, freelance developer, author of PyTables, Spain • Pietro Berkes, Enthought Inc., UK • Kathryn D. Huff, Department of Nuclear Engineering, University of California - Berkeley, USA • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Stéfan van der Walt, Applied Mathematics, Stellenbosch University, South Africa • Niko Wilbert, TNG Technology Consulting GmbH, Germany • Tiziano Zito, Forschungszentrum Jülich GmbH, Germany Organized by Tiziano Zito (head) and Zbigniew Jędrzejewski-Szmek for the German Neuroinformatics Node of the INCF Germany, Christopher Roppelt for the German Center for Vertigo and Balance Disorders (DSGZ) and the Graduate School of Systemic Neurosciences (GSN) of the Ludwig-Maximilians-Universität Munich Germany, Christoph Hartmann for the Frankfurt Institute for Advanced Studies (FIAS) and International Max Planck Research School (IMPRS) for Neural Circuits, Frankfurt Germany, and Jakob Jordan for the Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre and JARA. Additional funding provided by the Bernstein Center for Computational Neuroscience (BCCN) Munich. Website: https://python.g-node.org Contact: python-info(a)g-node.org

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[ANN] pyspread 0.4
by Martin Manns 16 Dec '14

16 Dec '14

============ pyspread 0.4 ============ Pyspread 0.4 is released. In this release, rendering has switched to Cairo, which enhances quality and performance. Grid content can now be exported into high quality PDF and SVG files. Cells can now display SVG images and text with markups. The nn function now removes None from lists, tuples, etc. About pyspread ============== Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet application. Pyspread is free software. It is released under the GPL v3. Project website: http://manns.github.com/pyspread/ Download page: https://pypi.python.org/pypi/pyspread Enjoy Martin

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EuroPython 2015: Submitted Proposal
by M.-A. Lemburg 15 Dec '14

15 Dec '14

The EuroPython Society (EPS) is happy to announce that we have received the amended proposal from the ACPySS team in Spain (http://www.pyss.org/) to hold EuroPython 2015 in Bilbao, Spain. We had been discussing questions with them in the last couple of days. On-site Team Proposal --------------------- Following the CFP process, we are now publishing the redacted version of the proposal, which has all the confidential information removed: ACPySS proposal for EuroPython 2015 in Bilbao (41MB PDF) https://www.dropbox.com/s/bx19vj8xvwd8wc9/Proposal-Bilbao-final.pdf?dl=1 The EPS board will now do a final review and announce the decision in the next two weeks (2014-12-26 latest). Please send your feedback ------------------------- We would like to encourage feedback from the EuroPython and Python community regarding the proposal. Please send your emails to the europython-improve mailing list (you will have to sign up to that list before being able to post there): https://mail.python.org/mailman/listinfo/europython-improve Thank you, -- EuroPython Society http://www.europython-society.org/

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qutebrowser v0.1 released
by me＠the-compiler.org 15 Dec '14

15 Dec '14

Hi, Exactly a year after the first commit[1] I'm proud to announce qutebrowser v0.1 has been released! qutebrowser is a keyboard-driven, vim-like browser based on Python3, PyQt5 and QtWebKit - similiar to projects like Vimperator/Pentadactyl, dwb, luakit, and others. More information about qutebrowser is available at www.qutebrowser.org Downloads are available at [2]. I originally started with qutebrowser because it was announced dwb (my favourite browser at the time) was unmaintained[3] and I was unsatisfied with existing alternatives. A year later, I feel like the existing functionality is more than enough for it to be used as a daily driver - and I as well as several other people already do so. The following features are already available: - All the basic functionality you'd expect (i.e. browsing, tabs, javascript, flash support, etc.) - Modal, vim-like input scheme. - Cross-platform support (Linux, Windows, OS X) - Adblocking via /etc/hosts-like files. - Hinting (selecting links via keyboard) - Downloads - quickmarks (bookmarks with a label) - Userscripts (e.g. shellscripts writing commands to a FIFO) - Basic completion for commands, settings and quickmarks Support is available in #qutebrowser on Freenode via IRC, or on the mailinglist at qutebrowser(a)lists.qutebrowser.org (see [4]). I can be reached at mail(a)qutebrowser.org. I'd be happy to hear about your thoughts and feature requests either via the above channels, or via the issue tracker at [5]. Thanks to the following contributors: - longneck - rikn00 - Brian Jackson - Mathias Fussenegger - Johannes Altmanninger - Peter Vilim - Martin Zimmermann - WOFall - regines I also want to thank everyone who tested qutebrowser before this release and provided their valuable input and bugreports. Florian [1] https://github.com/The-Compiler/qutebrowser/commit/11a94957dc038fc27c5ff976… [2] https://github.com/The-Compiler/qutebrowser/releases [3] https://bitbucket.org/portix/dwb/pull-request/22/several-cleanups-to-increa… [4] https://lists.schokokeks.org/mailman/listinfo.cgi/qutebrowser [5] https://github.com/The-Compiler/qutebrowser/issues

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SQLObject 1.7.2
by Oleg Broytman 14 Dec '14

14 Dec '14

Hello! I'm pleased to announce version 1.7.2, a bugfix release of branch 1.7 of SQLObject. What's new in SQLObject ======================= * Fix a bug: zero-pad microseconds on the right, not on the left; 0.0835 seconds means 83500 microseconds. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: https://pypi.python.org/pypi/SQLObject/1.7.2 News and changes: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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ANN: pandas v0.15.2
by Jeff Reback 12 Dec '14

12 Dec '14

Hello, We are proud to announce v0.15.2 of pandas, a minor release from 0.15.1. This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. This was a short release of 4 weeks with 137 commits by 49 authors encompassing 75 issues. We recommend that all users upgrade to this version. For a more full description of Whatsnew for v0.15.2, see here: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html *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. Documentation: http://pandas.pydata.org/pandas-docs/stable/ Source tarballs, windows binaries are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.8 macosx wheels are courtesy of Matthew Brett Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team Contributors to the 0.15.2 release - Aaron Staple - Angelos Evripiotis - Artemy Kolchinsky - Benoit Pointet - Brian Jacobowski - Charalampos Papaloizou - Chris Warth - David Stephens - Fabio Zanini - Francesc Via - Henry Kleynhans - Jake VanderPlas - Jan Schulz - Jeff Reback - Jeff Tratner - Joris Van den Bossche - Kevin Sheppard - Matt Suggit - Matthew Brett - Phillip Cloud - Rupert Thompson - Scott E Lasley - Stephan Hoyer - Stephen Simmons - Sylvain Corlay - Thomas Grainger - Tiago Antao - Trent Hauck - Victor Chaves - Victor Salgado - Vikram Bhandoh - WANG Aiyong - Will Holmgren - behzad nouri - broessli - charalampos papaloizou - immerrr - jnmclarty - jreback - mgilbert - onesandzeroes - peadarcoyle - rockg - seth-p - sinhrks - unutbu - wavedatalab - Åsmund Hjulstad

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Call for speakers for the first PyCon Belarus. Python-announce
by Alina Dolgikh 12 Dec '14

12 Dec '14

Hello, dear community! I represent Belarusian Python community. We have regular monthly meet-ups for 70-100 persons and we are going to develop further. We are planning to make the first Belarusian PyCon on the 31st of January and looking for speakers. We will be glad to meet at our event speakers, which are experienced in public talks (links for videos of public talks or for the other conferences web-pages are preferable) and can speak at - highload in Python - functional style Python - best practices on popular tools and libraries using - data analysis - CI, pypy, C-extensions, python performance - Python in mobile OS (Tizen for example) - all the other topics are welcome as well! Organising team is ready to cover the costs for the road and accommodation for interested speakers. Thanks in advance and, please, send your responses or recommendations to *alina at *dev.by. Also do not hesitate to require more information about our community and our events. Regards, Alina Dolgikh, PyCon Minsk

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