[Python-es] [ANN] 11ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 3—8 September, 2018

[Felix Perez]

2018-03-23 14:02 GMT-03:00 Mario Alfonso Saucedo Gomez <msagom en gmail.com>:
> Buenos días estimados,
>
> Los links enviados no funcionan, una consulta este curso es de manera
> presencial o virtual, se puede consultar los documentos de manera virtual.
>
> Agradezco su tiempo e interés y quedo atento a sus comentarios.
>
> Un saludo cordial.
>
> Gracias.
>
> Cordialmente,
>
> Mario Saucedo Gómez.
>
>
>
> 2018-03-23 3:37 GMT-05:00 Francesc Alted <faltet en gmail.com>:
>>
>> Hola,
>>
>> Esta es la nueva convocatoria del curso gratuito de programación
>> científica avanzada en Python que este año tendrá lugar en Camerino, Italia.
>> A ver si os animáis y por favor, darle difusión al tema.
>>
>> Suerte!
>> Francesc
>>
>> 11ᵗʰ Advanced Scientific Programming in Python
>> ==============================================
>> a Summer School by the G-Node and the University of Camerino
>>
>> https://python.g-node.org
>>
>> 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: see how far we got in previous years
>> <https://python.g-node.org/wiki/archives#stats>!
>>
>> Date & Location
>> ===============
>> 3–8 September, 2018. Camerino, Italy.
>>
>> Application
>> ===========
>> You can apply online: https://python.g-node.org/wiki/applications
>> Application deadline: 23:59 UTC, 31 May, 2018. There will be no deadline
>> extension, so be sure to apply on time.
>> Be sure to read the FAQ before applying:
>> https://python.g-node.org/wiki/faq
>>
>> Participation is for free, i.e. no fee is charged! Participants however
>> should take care of travel, living, and accommodation expenses by
>> themselves.
>>
>> Program
>> =======
>> • Version control with git and how to contribute to open source projects
>> with GitHub
>> • Best practices in data visualization
>> • Organizing, documenting, and distributing scientific code
>> • Testing scientific code
>> • Profiling scientific code
>> • Advanced NumPy
>> • Advanced scientific Python: decorators, context managers, generators,
>> and elements of object oriented programming
>> • Writing parallel applications in Python
>> • Speeding up scientific code with Cython and numba
>> • Memory-bound computations and the memory hierarchy
>> • Programming in teams
>>
>> Also see the detailed day-by-day schedule:
>> https://python.g-node.org/wiki/schedule
>>
>> Faculty
>> =======
>> • Ashwin Trikuta Srinath, Cyberinfrastructure Technology Integration,
>> Clemson University, SC USA
>> • Jenni Rinker, Department of Wind Energy, Technical University of
>> Denmark, Roskilde Denmark
>> • Juan Nunez-Iglesias, Melbourne Bioinformatics, University of Melbourne
>> Australia
>> • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of
>> Neurodegenerative Disease, University of Bordeaux France
>> • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland
>> • Rike-Benjamin Schuppner, Institute for Theoretical Biology,
>> Humboldt-Universität zu Berlin Germany
>> • Tiziano Zito, freelance consultant, Berlin Germany
>> • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland
>>
>> Organizers
>> ==========
>> For the German Neuroinformatics Node of the INCF (G-Node) Germany:
>>
>> • Tiziano Zito, freelance consultant, Berlin Germany
>> • Caterina Buizza, Personal Robotics Lab, Imperial College London UK
>> • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland
>> • Jakob Jordan, Department of Physiology, University of Bern, Switzerland
>> Switzerland
>>
>>  For the University of Camerino Italy:
>>
>> • Flavio Corradini, Computer Science Division, School of Science and
>> Technology, University of Camerino Italy
>> • Barbara Re, Computer Science Division, School of Science and Technology,
>> University of Camerino Italy
>>
>>
>> Website: https://python.g-node.org
>> Contact: python-info en g-node.org
>>
>> --
>> Francesc Alted
>>
>> _______________________________________________
>> Python-es mailing list
>> Python-es en python.org
>> https://mail.python.org/mailman/listinfo/python-es
>>
>
>
>
> --
>
>
>
> _______________________________________________
> Python-es mailing list
> Python-es en python.org
> https://mail.python.org/mailman/listinfo/python-es
>

Funcionan todos los links


-- 
usuario linux  #274354
normas de la lista:  http://wiki.debian.org/es/NormasLista
como hacer preguntas inteligentes:
http://www.sindominio.net/ayuda/preguntas-inteligentes.html