The summer school "Advanced Scientific Programming in Python" is organized by the G-Node and the School of Psychology, University of St. Andrews, UK.

Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists actually 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 a selection of advanced programming techniques with theoretical lectures and practical exercises tailored to the needs of a programming scientist will be presented. New skills will be tested in a real programming project: an entertaining scientific computer game will be developed in teams .

The Python programming language will be used 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. The schools shows, 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 Post-docs and PhD students from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. A basic knowledge of the Python language is assumed. Participants without prior experience with Python should work through the proposed introductory materials.

Applications:
Applications must be submitted before May 29, 2011.
No fee is charged but participants should take care of travel, living, and accommodation expenses.

For the course program, introductory material, the application procedure and all further details, please visit the course website.

Organization

• Katarina Maria Zeiner, Manuel Spitschan (School of Psychology, University of St. Andrews)
• Zbigniew JędrzejewscySzmek (Molecular Spectroscopy Lab, Faculty of Physics, Warsaw University) and Tiziano Zito (Berlin Institute of Technology and Bernstein Center Berlin) for the German Neuroinformatics Node (G-Node) of the INCF.