2018-03-23 14:02 GMT-03:00 Mario Alfonso Saucedo Gomez <msa...@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 <fal...@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-i...@g-node.org >> >> -- >> Francesc Alted >> >> _______________________________________________ >> Python-es mailing list >> Python-es@python.org >> https://mail.python.org/mailman/listinfo/python-es >> > > > > -- > > > > _______________________________________________ > Python-es mailing list > Python-es@python.org > https://mail.python.org/mailman/listinfo/python-es >
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