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

[ANN] Summer School "Advanced Scientific Programming in Python" in Split, Croatia
by Tiziano Zito Feb. 6, 2014

Feb. 6, 2014

Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node and the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split 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 ================= September 8—13, 2014. Split, Croatia Preliminary Program =================== Day 0 (Mon Sept 8) — 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 9) — Software Carpentry • Test-driven development, unit testing & quality assurance • Debugging, profiling and benchmarking techniques • Advanced Python I: idioms, useful built-in data structures, generators Day 2 (Wed Sept 10) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C with Cython • Programming in teams Day 3 (Thu Sept 11) — The Quest for Speed • Writing parallel applications in Python • Python 3: why should I care • Programming project Day 4 (Fri Sept 12) — Efficient Memory Management • When parallelization does not help: the starving CPUs problem • Advanced Python II: decorators and context managers • Programming project Day 5 (Sat Sept 13) — 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 http://python.g-node.org Applications must be submitted before 23:59 UTC, May 1, 2014. Notifications of acceptance will be sent by June 1, 2014. 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. You are encouraged to go through the introductory material available on the website. Faculty ======= • Francesc Alted, Continuum Analytics Inc., USA • 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, Technologit GbR, 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, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany Organized by Tiziano Zito (head) and Zbigniew Jędrzejewski-Szmek for the German Neuroinformatics Node of the INCF (Germany), Lana Periša for the Numerical and applied mathematics group, FESB, University of Split (Croatia), Ivana Kajić from the Bernstein Center for Computational Neuroscience Berlin (Germany), Ivana Balažević from the Technical University Berlin (Germany), and Filip Petkovski from IN2 Ltd. Skopje (Macedonia). Website: http://python.g-node.org Contact: python-info(a)g-node.org

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[ANN] pyspread 0.2.7
by Martin Manns Feb. 5, 2014

Feb. 5, 2014

============== pyspread 0.2.7 ============== Pyspread 0.2.7 is released. This is a bugfix release that fixes the chart dialog for Windows. 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 What is new in 0.2.7 ==================== + Chart dialog works again on Windows Known issues ============ + Selection mode is disabled in Windows. + Sometimes, pressing redo when there is nothing left to redo has undesired effects such as redoing an operation again. + Pyspread with wxPython 3.x instead of 2.8.x may be slow and buggy + On some (not all) Windows system lockup prevention does not work Martin

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ANN: PyTables 3.1.0 released
by Antonio Valentino Feb. 5, 2014

Feb. 5, 2014

=========================== Announcing PyTables 3.1.0 =========================== We are happy to announce PyTables 3.1.0. This is a feature release. The upgrading is recommended for users that are running PyTables in production environments. What's new ========== Probably the most relevant changes in this release are internal improvements like the new node cache that is now compatible with the upcoming Python 3.4 and the registry for open files has been deeply reworked. The caching feature of file handlers has been completely dropped so now PyTables is a little bit more "thread friendly". New, user visible, features include: - a new lossy filter for HDF5 datasets (EArray, CArray, VLArray and Table objects). The *quantization* filter truncates floating point data to a specified precision before writing to disk. This can significantly improve the performance of compressors (many thanks to Andreas Hilboll). - support for the H5FD_SPLIT HDF5 driver (thanks to simleo) - all new features introduced in the Blosc_ 1.3.x series, and in particular the ability to leverage different compressors within Blosc_ are now available in PyTables via the blosc filter (a big thank you to Francesc) - the ability to save/restore the default value of :class:`EnumAtom` types Also, installations of the HDF5 library that have a broken support for the *long double* data type (see the `Issues with H5T_NATIVE_LDOUBLE`_ thread on the HFG5 forum) are detected by PyTables 3.1.0 and the corresponding features are automatically disabled. Users that need support for the *long double* data type should ensure to build PyTables against an installation of the HDF5 library that is not affected by the bug. .. _`Issues with H5T_NATIVE_LDOUBLE`: http://hdf-forum.184993.n3.nabble.com/Issues-with-H5T-NATIVE-LDOUBLE-tt4026… As always, a large amount of bugs have been addressed and squashed as well. In case you want to know more in detail what has changed in this version, please refer to: http://pytables.github.io/release_notes.html You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://sourceforge.net/projects/pytables/files/pytables/3.1.0 For an online version of the manual, visit: http://pytables.github.io/usersguide/index.html What it is? =========== PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second. Resources ========= About PyTables: http://www.pytables.org About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments =============== Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy makers. Without them, PyTables simply would not exist. Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- **Enjoy data!** -- The PyTables Developers

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PyGObject 3.11.5 Released
by Simon Feltman Feb. 5, 2014

Feb. 5, 2014

I am pleased to announce version 3.11.5 of the Python bindings for GObject. This is the fifth alpha release of the 3.11.x series for GNOME 3.12. Notable in this release is a lots of internal refactoring and reorganizing of modules. PyGObject has gone from building four shared libraries (_gi.so, _gobject.so, _glib.so, and libpyglib-gi-2.0.so) down to one (_gi.so). This eases internal code sharing and should making packaging for various platforms a bit simpler. Download ======== The new release is available from ftp.gnome.org: https://download.gnome.org/sources/pygobject/3.11/pygobject-3.11.5.tar.xz (680K) sha256sum: 26458b012e5d443d9b4a81d9eb9ad3207f5f050c962f5bd09f16aa034d284685 What's new in PyGObject 3.11.5 ================================= - cache refactoring: Move all cache marshalers into files based on type (Simon Feltman) (#709700) - tests: Add test for an owned boxed struct passed in a callback (Mike Gorse) (#722899) - build: Add --without-common configure option for package maintainers (Patrick Welche) (#721646) - demo: Add TreeModel interface implementation demonstration (Simon Feltman) - build: Set PLATFORM_VERSION again to 3.0 (Colin Walters) - tests: Run PyFlakes and PEP8 only on SUBDIRS (Simon Feltman) - Merge static PyGLib and PyGObject modules into PyGI (Simon Feltman) (#712197) - Add test for callback user data arguments with following arguments (Martin Pitt) (#722104) About PyGObject =============== GObject is a object system used by GTK+, GStreamer and other libraries. PyGObject provides a convenient wrapper for use in Python programs when accessing GObject libraries. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject now dynamically accesses any GObject libraries that uses GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for intermediate Python glue.

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ANN: Bokeh 0.4 Release
by Bryan Van de Ven Feb. 5, 2014

Feb. 5, 2014

I am pleased to announce the release of Bokeh version 0.4! Bokeh is a Python library for visualizing large and realtime datasets on the web. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity to thin clients. Bokeh includes its own Javascript library (BokehJS) that implements a reactive scenegraph representation of the plot, and renders efficiently to HTML5 Canvas. Bokeh works well with IPython Notebook, but can generate standalone graphics that embed into regular HTML. Check out the full documentation and interactive gallery at http://bokeh.pydata.org If you are using Anaconda, you can install with conda: conda install bokeh Alternatively, you can install with pip: pip install bokeh Some of the new features in this release include: * Preliminary work on Matplotlib support: convert MPL figures to Bokeh plots * Free public beta of Bokeh plot hosting at http://bokehplots.com * Tool improvements: - "always on" pan tool and wheel zoom tool (with shift key) - box zoom tool - viewport reset tool * Enhanced datetime axis, with better performance and nicer ticking * Expanded testing, including TravisCI integrations and static image output using PhantomJS * RGBA and color mapped image plots now available from Python * Python 3 supported * Vastly improved documentation for glyphs, with inline examples and JSFiddle integration Also, we've fixed lots of little bugs - see the CHANGELOG for full details. Bokeh will be having a free "Office Hours" later this week! Join us this Thursday at 2pm CST on EngineHere athttps://www.enginehere.com/stream/437/bokeh-04-release/ for a live informational session about the latest release. We'll be covering all the newest features and updates through a combination of live lecture, Q&A, and pair programming. It's all free, just sign up to the EngineHere learning platform. BokehJS is also available by CDN for use in standalone javascript applications: http://cdn.pydata.org/bokeh-0.4.js http://cdn.pydata.org/bokeh-0.4.css http://cdn.pydata.org/bokeh-0.4.min.js http://cdn.pydata.org/bokeh-0.4.min.css Some examples of BokehJS use can be found on the Bokeh JSFiddle page: http://jsfiddle.net/user/bokeh/fiddles/ The release of Bokeh 0.5 is planned for late March. Some notable features we plan to include are: * Abstract Rendering for semantically meaningful downsampling of large datasets * Better grid-based layout system, using Cassowary.js * Selection tools, tooltips, etc. Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/continuumio/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io Special thanks to recent contributors: Janek Klawe, Samantha Hughes, Rebecca Paz, and Benedikt Sauer. Regards, Bryan Van de Ven Continuum Analytics http://continuum.io

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ReportLab 3.0 alpha 1 available - Python 2.7 & 3.3 support
by Andy Robinson Feb. 4, 2014

Feb. 4, 2014

Hi everybody, At long last, our first pre-release version of ReportLab 3.0 is out. This runs on Python 2.7, 3.3 and 3.4; hopefully, very little else has changed. Alpha and beta builds will be in our private pypi repository: https://www.reportlab.com/pypi/ Currently we seem to be passing 100% of our (expanded) test suite with the source versions, and with Windows installers (exe, msi and wheels). We would be most grateful if people could test by installing in in a variety of environments. The easiest way is to set up a virtual environment and then run... pip install pillow pip install -i https://www.reportlab.com/pypi/ reportlab==3.0a1 You can then unzip a source copy, cd into 'tests/', and execute 'python runAll.py' with your installed reportlab. We also welcome tests where you swap out your existing reportlab for this one and see if applications run normally. At this stage our focus is on the packaging and 'installability'. If all goes well and there are few/no bugs found, we will declare beta in a few days, then go to 3.0 once we have updated the documentation and download pages. Please report bugs on our users list. Best Regards, -- Andy Robinson Managing Director ReportLab Europe Ltd. Thornton House, Thornton Road, Wimbledon, London SW19 4NG, UK Tel +44-20-8405-6420

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[ANN] pyspread 0.2.6
by Martin Manns Feb. 2, 2014

Feb. 2, 2014

============== pyspread 0.2.6 ============== Pyspread 0.2.6 is released. This update brings Excel xls file reading and prevents many pyspread lock ups that were caused by misbehaving user code. 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 What is new in 0.2.6 ==================== + Reading support for Excel xls files (requires dependency xlrd) + Code execution timeout, i. e. buggy code such as infinite loops does not lock up pyspread any more. Note: The timeout does not work for C operations such as a ** <big number> + Macro dialog now provides an error message field + Multiple rows/columns can now be resized together when selected + Show frozen option added that changes background of frozen cells + The cell editor now is resized when the text grows too large + Cells are now always clipped + Example macro for in cell LaTeX equations added + Contour plots and Sankey charts added to chart dialog + Pie chart can now be rotated in the chart dialog + Chart fonts and ticks can now be changed in chart dialog + Some bug fixes Known issues ============ + Selection mode is disabled in Windows. + Sometimes, pressing redo when there is nothing left to redo has undesired effects such as redoing an operation again. + Pyspread with wxPython 3.x instead of 2.8.x may be slow and buggy + On some (not all) Windows system lockup prevention does not work Enjoy Martin

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ANN: autoflight 1.0.2 released
by Andrea Stagi Feb. 2, 2014

Feb. 2, 2014

Hi everyone, I'm pleased to announce you autoflight 1.0.2, a useful tool to upload a given .apk or .ipa to TestFlight. This is an open source project, so if you want to improve it please send us a pull request or open a bug and/or a request. You can find the source code at https://github.com/atooma/autoflight Installing autoflight is simple, just type: # pip install autoflight Then you can create your config file in your working directory using json format { "api_token": "4P1T0K3NF4K3", "team_token": "T34MT0K3NF4K3", "notify": true, "distribution_lists": "Internal,QA" } Then type $ autoflight /path/to/my_apk_or_ipa --config-file /path/to/config.json Alternatively you can specify parameters from the command line, launch the helper to see all the available options $ autoflight --help -- Andrea Stagi (@4stagi) - Software Engineer @ Atooma Inc. Job profile: http://linkedin.com/in/andreastagi Website: http://4spills.blogspot.it/ Github: http://github.com/astagi

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mimedecode.py version 2.3.3
by Oleg Broytman Feb. 2, 2014

Feb. 2, 2014

Hello! mimedecode.py WHAT IS IT Mail users, especially in non-English countries, often find that mail messages arrived in different formats, with different content types, in different encodings and charsets. Usually this is good because it allows us to use appropriate format/encoding/whatever. Sometimes, though, some unification is desirable. For example, one may want to put mail messages into an archive, make HTML indices, run search indexer, etc. In such situations converting messages to text in one character set and skipping some binary attachments is much desirable. Here is the solution - mimedecode.py. This is a program to decode MIME messages. The program expects one input file (either on command line or on stdin) which is treated as an RFC822 message, and decodes to stdout or an output file. If the file is not an RFC822 message it is just copied to the output one-to-one. If the file is a simple RFC822 message it is decoded as one part. If it is a MIME message with multiple parts ("attachments") all parts are decoded. Decoding can be controlled by command-line options. WHAT'S NEW in version 2.3.3 (2014-02-02) Forbid filtering from console. When the program runs with stdin connected to the console it shows usage help. Fix a bug - option -o and no parameters. WHAT'S NEW in version 2.3.2 (2014-02-01) Fix a bug - do not generate 'From ' headers in subparts. Add option --host. Add tests. WHAT'S NEW in version 2.3.1 (2014-01-31) Update documentation. WHAT'S NEW in version 2.3.0 (2014-01-30) Add option -o and output_file argument. WHAT'S NEW in version 2.2.0 (2013-12-21) Rename __version__.py to mimedecode_version.py. Use setuptools. WHERE TO GET Home page: http://phdru.name/Software/Python/#mimedecode git clone http://git.phdru.name/mimedecode.git git clone git://git.phdru.name/mimedecode.git Requires: Python 2.2.2+ Recommends: configured mailcap database. Documentation (also included in the package): http://phdru.name/Software/Python/mimedecode.txt AUTHOR Oleg Broytman <phd(a)phdru.name> COPYRIGHT Copyright (C) 2001-2014 PhiloSoft Design. LICENSE GPL Oleg. -- Oleg Broytman http://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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