[ANN] Curso avanzado de programación científi ca

Hola,

Os envío información sobre un curso de invierno sobre programación científica 
avanzada en el ámbito académico que estamos organizando y que tendrá lugar en 
Varsovia el próximo mes de Febrero.

Aunque la asistencia es totalmente gratuita, el asistente correrá con los 
gastos del viaje, alojamiento y manutención.  Aún así, se trata de una 
oportunidad excelente para post-docs o doctorandos que necesiten conocimientos 
avanzados de computación en sus trabajos de investigación cotidianos.

Por favor, hacedlo correr.  ¡Gracias!


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 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 we will
present a selection of advanced programming techniques with
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'll 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. Clean language design and easy extensibility are
driving Python to become a standard tool for scientific computing.
Some of the most useful open source libraries for scientific
computing and visualization will be presented.

This winter school is targeted at Post-docs and PhD students from
all areas. Substantial proficiency in Python or in another language
(e.g. Java, C/C++, MATLAB, Mathematica) is absolutely required. An
optional, one-day introduction to Python is offered to participants
without prior experience with the language.

Date and Location: February 8th — 12th, 2010. Warsaw, Poland.

Preliminary Program:
- Day 0 (Mon Feb 8) — [Optional] Dive into Python
- Day 1 (Tue Feb 9) — Software Carpentry
   • Documenting code and using version control
   • Test-driven development and unit testing
   • Debugging, profiling and benchmarking techniques
   • Object-oriented programming, design patterns, and agile
     programming
- Day 2 (Wed Feb 10) — Scientific Tools for Python
   • NumPy, SciPy, Matplotlib
   • Data serialization: from pickle to databases
   • Programming project in the afternoon
- Day 3 (Thu Feb 11) — The Quest for Speed
   • Writing parallel applications in Python
   • When parallelization does not help: the starving CPUs 
     problem
   • Programming project in the afternoon
- Day 4 (Fri Feb 12) — Practical Software Development
   • Software design
   • Efficient programming in teams
   • Quality Assurance
   • Programming project final

Applications:
Applications should be sent before December 6th, 2009 to: 
[email protected]
No fee is charged but participants 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:

  • 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 on the basis of their profile. Places
are limited: early application is recommended.  Notifications of
acceptance will be sent by December 14th, 2009.

Faculty
• Francesc Alted, author of PyTables, 
  Castelló de la Plana, Spain [Day 3]
• Pietro Berkes, Volen Center for Complex Systems, 
  Brandeis University, USA [Day 1]
• Zbigniew Jędrzejewski-Szmek, Institute of Experimental Physics,
  University of Warsaw, Poland [Day 0]
• Eilif Muller, Laboratory of Computational Neuroscience,
  Ecole Polytechnique Fédérale de Lausanne, Switzerland [Day 3]
• Bartosz Teleńczuk, Institute for Theoretical Biology,
  Humboldt-Universität zu Berlin, Germany [Day 2]
• Niko Wilbert, Institute for Theoretical Biology,
  Humboldt-Universität zu Berlin, Germany [Day 1]
• Tiziano Zito, Bernstein Center for Computational Neuroscience,
  Berlin, Germany [Day 4]

Organized by Piotr Durka, Joanna and Zbigniew Jędrzejewscy-Szmek 
(Institute of Experimental Physics, University of Warsaw), and
Tiziano Zito (German Neuroinformatics Node of the INCF).

Website: http://www.g-node.org/python-winterschool
Contact: [email protected]


-- 
Francesc Alted

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