[SciPy-user] "Advanced Scientific Programming in Python" Summer School in Berlin. Germany
Fri Mar 27 03:22:57 CDT 2009
On Wed, Mar 25, 2009 at 3:55 PM, Tiziano Zito <email@example.com> wrote:
> Hi all,
> the summer school I'm co-organizing may be of interest to some of
> "Advanced Scientific Programming in Python"
> a G-Node Summer School
> Many scientists spend much of their time writing, debugging, and
> maintaining software. But while techniques for doing this efficiently
> have been developed, only few scientists actually use them. As a
> result, they spend far too much time writing deficient code and
> reinventing the wheel instead of doing research. In this course we
> present a selection of advanced programming techniques with
> theoretical lectures and practical exercises tailored to the needs of
> the programming scientist. To spice up theory and foster our new
> skills in a real-world programming project, we will team up to develop
> an entertaining scientific computer game.
> We will use the Python programming language for the entire
> course. With a large collection of open-source scientific modules and
> all features of a full-fledged programming language, Python is rapidly
> gaining popularity in the neuroscience community. It enables the
> scientist to quickly develop powerful, efficient, and structured
> software and is becoming an essential tool for scientific computing.
> The summer school is targeted at Post-docs and PhD students from all
> areas of neuroscience. Substantial proficiency in Python or in
> another language (e.g. Java, C/C++, MATLAB, Mathematica) is absolutely
> required. An optional, one-day pre-course is offered to participants
> without Python experience to familiarize with the language.
> Date and Location
> August 31st, 2009 -- September 4th, 2009. Berlin, Germany.
> Preliminary Program
> Day 0 (Mon Aug 31) -- [Optional] Dive into Python
> Day 1 (Tue Sep 1) -- Software Carpentry
> - Documenting code and using version control
> - Test-driven development & unit testing
> - Debugging, profiling and benchmarking techniques
> - Object-oriented programming, design patterns and Extreme Programming
> Day 2 (Wed Sep 2) -- Scientific Tools for Python
> - NumPy, SciPy, Matplotlib, IPython
> - Neuroscience libraries
> - Programming project in the afternoon
> Day 3 (Thu Sep 3) -- Parallelization
> - Python multiprocessing for SMP machines
> - Distributed parallelization for cluster computing
> - Programming project in the afternoon
> Day 4 (Fri Sep 4) -- Practical Software Development
> - Software design
> - Efficient programming in teams
> - Quality Assurance
> - Finalizing the programming project
> Applications should be sent before May 31st, 2009 to
> firstname.lastname@example.org. No fee is charged but participants
shouldn't it be
> should take care of travel, living, and accommodation expenses.
> Applications should include full contact information (name,
> affiliation, email & phone), a short CV and a short statement
> addressing the following questions (maximum 500 words):
> - What is your educational background?
> - What experience do you have in programming?
> - Why do you think "Advanced Scientific Programming in Python" is an
> appropriate course for your skill profile?
> Candidates will be selected based on their profile. Places are
> limited: early application is recommended.
> Pietro Berkes, Volen Center for Complex Systems, Brandeis University, USA
> Jens Kremkow, Institut de Neurosciences Cognitives de la Méditerranée, CNRS, Marseille, France
> Eilif Muller, Laboratory of Computational Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland
> Michael Schmuker, Neurobiology, Freie Universität Berlin, Germany
> Bartosz Telenczuk, Charité Universitätsmedizin Berlin, Germany
> Niko Wilbert, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany
> Tiziano Zito, Bernstein Center for Computational Neuroscience Berlin, Germany
> Organized by Michael Schmuker and Tiziano Zito for the German
> Neuroinformatics Node of the INCF.
> Website: http://www.g-node.org/Teaching
> Contact: email@example.com
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