Advanced Scientific Programming in Python

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.

The course 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: participants will team up to develop an entertaining scientific computer game.

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.

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.

Website: https://python.g-node.org
Contact: python-info@g-node.org