[Python-es] [ANN] Escuela de verano de programación científica avanzada en Python

[Inigo Aldazabal Mensa]

¡Hola Francesc!

El Jueves, 3 de Marzo de 2011, Francesc Alted escribió:
>...
> El curso es gratuito, aunque el asistente ha de correr con los gastos
> del viaje y hospedaje.  Y aunque en el anuncio oficial se dice que se
> orienta a estudiantes de doctorado o post-docs, no es condición
> necesaria (como Ricardo Cárdenes puede atestiguar :).
>

mmm... parece mas avanzado que al que acudí. ¿Se puede "repetir"?

Saludos,

Iñigo


> El plazo de presentación de candidaturas acaba el 29 de Mayo de 2011,
> pero ya daré otro 'toque' cuando falte poco tiempo para que concluya el
> plazo, por si hay algún despistado.
>
> Espero ver a algún colistero por allí!
>
> Y ahora el anuncio oficial:
>
>
> Advanced Scientific Programming in Python
> =========================================
> a Summer School by the G-Node and the School of Psychology,
> University of St Andrews
>
> 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,
> 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 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
> =================
> September 11—16, 2011. St Andrews, UK.
>
> Preliminary Program
> ===================
> Day 0 (Sun Sept 11) — Best Programming Practices
>   - Agile development & Extreme Programming
>   - Advanced Python: decorators, generators, context managers
>   - Version control with git
> Day 1 (Mon Sept 12) — Software Carpentry
>   - Object-oriented programming & design patterns
>   - Test-driven development, unit testing & quality assurance
>   - Debugging, profiling and benchmarking techniques
>   - Programming in teams
> Day 2 (Tue Sept 13) — Scientific Tools for Python
>   - Advanced NumPy
>   - The Quest for Speed (intro): Interfacing to C with Cython
>   - Best practices in data visualization
> Day 3 (Wed Sept 14) — The Quest for Speed
>   - Writing parallel applications in Python
>   - Programming project
> Day 4 (Thu Sept 15) — Efficient Memory Management
>   - When parallelization does not help:
>     the starving CPUs problem
>   - Data serialization: from pickle to databases
>   - Programming project
> Day 5 (Fri Sept 16) — Practical Software Development
>   - Programming project
>   - The Pac-Man 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 http://python.g-node.org
>
> Applications must be submitted before May 29, 2011. Notifications of
> acceptance will be sent by June 19, 2011.
>
> 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 in past editions was around 30%.
> Prerequisites: You are supposed to know the basics of Python to
> participate in the lectures. Please consult the website for a list
> of introductory material.
>
> Faculty
> =======
> - Francesc Alted, author of PyTables, Castelló de la Plana, Spain
> - Pietro Berkes, Volen Center for Complex Systems, Brandeis
>   University, USA
> - Valentin Haenel, Berlin Institute of Technology and Bernstein
>   Center for Computational Neuroscience Berlin, Germany
> - Zbigniew Jędrzejewski-Szmek, Faculty of Physics, University of
>   Warsaw, Poland
> - Eilif Muller, The Blue Brain Project, Ecole Polytechnique Fédérale
>   de Lausanne, Switzerland
> - Emanuele Olivetti, NeuroInformatics Laboratory, Fondazione Bruno
>   Kessler and University of Trento, Italy
> - Rike-Benjamin Schuppner, Bernstein Center for Computational
>   Neuroscience Berlin, Germany
> - Bartosz Teleńczuk, Institute for Theoretical Biology,
>   Humboldt-Universität zu Berlin, Germany
> - Bastian Venthur, Berlin Institute of Technology and Bernstein
>   Focus: Neurotechnology, Germany
> - Pauli Virtanen, Institute for Theoretical Physics and
>   Astrophysics, University of Würzburg, Germany
> - Tiziano Zito, Berlin Institute of Technology and Bernstein Center
>   for Computational Neuroscience Berlin, Germany
>
> Organized by Katharina Maria Zeiner and Manuel Spitschan of the
> School of Psychology, University of St Andrews, and by Zbigniew
> Jędrzejewski-Szmek and Tiziano Zito for the German Neuroinformatics
> Node of the INCF.
>
> Website:  http://python.g-node.org
> Contact:  python-info en g-node.org