Reminder - Summer School Advanced Scientific Programming in Python in Munich, Germany
Reminder: Deadline for application is 23:59 UTC, March 31, 2015. 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 === • Pietro Berkes, Enthought Inc., UK • Marianne Corvellec, Plotly Technologies Inc., Montréal, Canada • 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 • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • 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
Updated: frigcal - A Refrigerator-Style Desktop GUI Calendar
The latest installment of frigcal is now available. Its main addition is more explicit error handling to make the system more user-friendly, and avoid silent shutdowns when used in non-console mode on Windows. It also skips all non-image files in its images folder, and has a new release structure that provides an unzipped content copy on the web. Screenshot: http://learning-python.com/frigcal/screenshots/000-latest-composite.png Main doc file: http://learning-python.com/frigcal/Readme-frigcal.html Download here: http://learning-python.com/downloads/frigcal.zip Unzipped content: http://learning-python.com/frigcal Latest changes: http://learning-python.com/frigcal/Readme-frigcal.html#release15 There's also a new package index at http://learning-python.com/downloads. Cheers, --M. Lutz (http://www.rmi.net/~lutz | http://learning-python.com) -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: pandas 0.16.0 released
Hello, We are proud to announce v0.16.0 of pandas, a major release from 0.15.2. 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 4 months of work by 60 authors encompassing 204 issues. We recommend that all users upgrade to this version. *Highlights:* - - *DataFrame.assign* method, see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-assign - *Series.to_coo/from_coo* methods to interact with *scipy.sparse*, see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-sparse - Backwards incompatible change to *Timedelta* to conform the *.seconds* attribute with *datetime.timedelta*, see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-timedelta - Changes to the *.loc* slicing API to conform with the behavior of *.ix* see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-indexing - Changes to the default for ordering in the *Categorical* constructor, see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-categorical - Enhancement to the *.str* accessor to make string operations easier, see here http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-string - The *pandas.tools.rplot*, *pandas.sandbox.qtpandas* and *pandas.rpy* modules are deprecated. - We refer users to external packages like seaborn http://stanford.edu/~mwaskom/software/seaborn/, pandas-qt https://github.com/datalyze-solutions/pandas-qt and rpy2 http://rpy.sourceforge.net/ for similar or equivalent functionality, see here for more detail http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#deprecations See a full description of the Whatsnew for v0.16.0 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 wheels, macosx wheels are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett and are built on Numpy 1.7.1 Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
Python 2.7.x for Plan 9
The following line is suggested as a addition to the Python Other Platforms page (https://www.python.org/download/other/): Jeff Sickel maintains a Python port for Plan 9 (https://bitbucket.org/jas/cpython). -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
Updated: mergeall - Folder Synchronization for Manual Clouds
A new major release of mergeall has been posted. This version's main upgrade is automatic backup of items replaced or deleted by the merge, so that changes can be backed out from any target device if needed. It also adds a more dynamic GUI, summary reports, a script workaround for FAT DST rollovers, and a new unzipped content copy on the web. Screenshot: http://learning-python.com/mergeall/examples/Screenshots/main-quit-help.png Main doc file: http://learning-python.com/mergeall/docs/Usage-Overview.html Download here: http://learning-python.com/downloads/mergeall.zip Unzipped content: http://learning-python.com/mergeall Latest changes: http://learning-python.com/mergeall/Readme.html#version20 There's also a new package index at http://learning-python.com/downloads. Cheers, --M. Lutz (http://www.rmi.net/~lutz | http://learning-python.com) -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
Wingware Python IDE version 5.1.3 released
Hi, Wingware has released version 5.1.3 of Wing IDE, our cross-platform integrated development environment for the Python programming language. Wing IDE features a professional code editor with vi, emacs, visual studio, and other key bindings, auto-completion, call tips, context-sensitive auto-editing, goto-definition, find uses, refactoring, a powerful debugger, version control, unit testing, search, project management, and many other features. This release includes the following improvements: Support running and debugging pytest unit tests Allow debugging Flask with auto-reload enabled Keep matplotlib plots active in Debug Probe also when using MacOSX backend Ability to send NUL and EOF to the shells and debug I/O Several improvements to snippets, auto-invocation, and recursive data entry Fix several problems in multi-process debugging Improved and optimized auto-conversion of indents on paste Fix scraping Python 3 extension modules Correct vi mode register behavior Fix auto-scrolling and text encoding in Debug I/O Improve debugging recursion limit exceptions About 30 other bug fixes and improvements For details see http://wingware.com/news/2015-03-20 and http://wingware.com/pub/wingide/5.1.3/CHANGELOG.txt What's New in Wing 5.1: Wing IDE 5.1 adds multi-process and child process debugging, syntax highlighting in the shells, support for pytest, persistent time-stamped unit test results, auto-conversion of indents on paste, an XCode keyboard personality, support for Flask, Django 1.7, and recent Google App Engine versions, improved auto-completion for PyQt, recursive snippet invocation, and many other minor features and improvements. Free trial: http://wingware.com/wingide/trial Downloads: http://wingware.com/downloads Feature list: http://wingware.com/wingide/features Sales: http://wingware.com/store/purchase Upgrades: https://wingware.com/store/upgrade Questions? Don't hesitate to email us at supp...@wingware.com. Thanks, -- Stephan Deibel Wingware | Python IDE The Intelligent Development Environment for Python Programmers wingware.com -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
