[SciPy-User] [ANN] 12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019

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[SciPy-User] [ANN] 12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019

Tiziano Zito-2
12ᵗʰ 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 R 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.

Date & Location
===============
2–7 September, 2019. Camerino, Italy.

Application
===========
You can apply online: https://python.g-node.org/wiki/applications

Application deadline: 23:59 UTC, 26 May, 2019.

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
• Tidy data analysis and visualization
• Testing and debugging scientific code
• Advanced NumPy
• Organizing, documenting, and distributing scientific code
• Advanced scientific Python: context managers and generators
• Writing parallel applications in Python
• Profiling and speeding up scientific code with Cython and numba
• Programming in teams

Faculty
=======

• Caterina Buizza, Personal Robotics Lab, Imperial College London, UK
• Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark
• Juan Nunez-Iglesias, Bioimage Analysis Research Fellow, Monash University, Australia
• Nelle Varoquaux, Department of Statistics, UC Berkeley, CA, USA
• Pamela Hathway, Neural Reckoning, Imperial College London, UK
• Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland
• Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany
• Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA
• Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany

Organizers
==========
For the German Neuroinformatics Node of the INCF (G-Node), Germany:

• Tiziano Zito, Department of Psychology, Humboldt-Universität zu 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

For the 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: [hidden email]
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