[Python-es] 10ᵀᴴ Advanced Scientific Programming in Python

[Francesc Alted]

No que yo sepa.  Aunque en nuestro curso no hacemos discriminación de
nacionalidades (de hecho, hemos tenido alumnos de muchas partes de
Latino-América, aunque es verdad que estaban haciendo estancias en Europa,
y por tanto el viaje les salía más barato).

2017-05-05 0:14 GMT+02:00 Gonzalo V <gvm2121 en gmail.com>:

> hay algo así para Latinoamérica?
>
> El 3 may. 2017 08:55, "Francesc Alted" <faltet en gmail.com> escribió:
>
>> Hola,
>>
>> Acaba de salir la convocatoria de nuestro décimo curso de verano sobre
>> Python en entornos científicos que este año tendrá lugar en Grecia.  La
>> fecha límite para las solicitudes es el 31 de Mayo, así que no os podéis
>> despistar mucho.
>>
>> Suerte!
>>
>> 10ᵀᴴ Advanced Scientific Programming in Python
>> ==============================================
>> a Summer School by the G-Node and the Municipality of Sithonia
>>
>> 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. In this course we will present a selection of
>> advanced programming techniques and best practices which are standard in
>> the industry, but especially tailored to the needs of a programming
>> scientist. Lectures are devised to be interactive and to give the students
>> enough time to acquire direct hands-on experience with the materials.
>> Students will work in pairs throughout the school and will team up to
>> practice the newly learned skills in a real programming project — an
>> entertaining 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 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 and of a version control system such as git, subversion, mercurial,
>> or bazaar is assumed. Participants without any prior experience with Python
>> and/or git should work through the proposed introductory material before
>> the course.
>>
>> We are striving hard to get a pool of students which is international and
>> gender-balanced.
>>
>> You can apply online: https://python.g-node.org
>> Application deadline: 23:59 UTC, May 31, 2017. There will be no deadline
>> extension, so be sure to apply on time ;-)
>> Be sure to read the FAQ before applying.
>>
>> Participation is for free, i.e. no fee is charged! Participants however
>> should take care of travel, living, and accommodation expenses by
>> themselves.
>>
>> Date & Location
>> ===============
>> August 28—September 2, 2017. Nikiti, Sithonia, Halkidiki, Greece
>>
>> Program
>> =======
>> → Best Programming Practices
>>   • Best practices for scientific programming
>>   • Version control with git and how to contribute to open source
>> projects with GitHub
>>   • Best practices in data visualization
>> → Software Carpentry
>>   • Test-driven development
>>   • Debugging with a debuggger
>>   • Profiling code
>> → Scientific Tools for Python
>>   • Advanced NumPy
>> → Advanced Python
>>   • Decorators
>>   • Context managers
>>   • Generators
>> → The Quest for Speed
>>   • Writing parallel applications
>>   • Interfacing to C with Cython
>>   • Memory-bound problems and memory profiling
>>   • Data containers: storage and fast access to large data
>> → Practical Software Development
>>   • Group project
>>
>> Preliminary Faculty
>> ===================
>> • Francesc Alted, freelance consultant, author of Blosc, Castelló de la
>> Plana, Spain
>> • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland
>> • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason
>> University, Fairfax, VA USA
>> • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de
>> Lausanne Switzerland
>> • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative,
>> University of Melbourne, Australia
>> • Rike-Benjamin Schuppner, Institute for Theoretical Biology,
>> Humboldt-Universität zu Berlin, Germany
>> • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of
>> Neurodegenerative Disease, University of Bordeaux, France
>> • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience,
>> CNRS, Paris, France
>> • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley,
>> CA USA
>> • Nelle Varoquaux, Berkeley Institute for Data Science, UC Berkeley, CA
>> USA
>> • Tiziano Zito, freelance consultant, Berlin, Germany
>>
>> Organizers
>> ==========
>> For the German Neuroinformatics Node of the INCF (G-Node) Germany:
>> • Tiziano Zito, freelance consultant, Berlin, Germany
>> • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason
>> University, Fairfax, USA
>> • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6),
>> Forschungszentrum Jülich GmbH, Germany
>> • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics,
>> University of Reading, UK
>>
>> Website: https://python.g-node.org
>> Contact: python-info en g-node.org
>>
>> --
>> Francesc Alted
>>
>> _______________________________________________
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>> https://mail.python.org/mailman/listinfo/python-es
>>
>>


-- 
Francesc Alted
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