[Comp-neuro] 12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019

Jakob Jordan jakobjordan at posteo.de
Mon Mar 4 01:34:24 CET 2019


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: python-info at g-node.org


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