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EuroSciPy 2013

Brussels, Belgium - August 21-24 2013

Sixth Annual Conference on Python in Science

The EuroSciPy meeting is a cross-disciplinary gathering focused on the use and development of the Python language in scientific research. This event strives to bring together both users and developers of scientific tools, as well as academic research and state of the art industry.

5 May 2013: Registration is open. Early bird is over

4 June 2013: The full program of the conference is online!

7 June 2013: Travel Support announced

1 July 2013: Early bird is over

20 August 2013: Registration closes

20 August 2013: Registration is closed

21 August 2013: checkout the afpyro social event of thursday evening

Keynote Speakers

General Organization of the Conference


Brussels, Belgium, at the Université libre de Bruxelles

Tutorials: 21 and 22 August 2013

There is a Beginner Track and an Advanced Track. The program is online.


We assume that the audience has some previous experience with a scientific-computing software and is comfortable with very basic numerical computing. For these tutorials, you'll need python, numpy, scipy and matplotlib and you may want to have also IPython (optional).


For the advanced tutorials, pre-requisites are specific to each tutorial and you may want to read the individual description to know what they are exactly. Note that these tutorials address an audience which is already familiar with python and has experience with scientific computing with python.

Make sure to read the tutorial requirements !

Scientific Track: 23 and 24 August 2013

Keynote talks, contributed talks, lightning talks and poster session. See the Call for Abstracts.

Sprints: 25 August 2013

Coding sprints are organized on Python visualization, Sage: Open Source Mathematics Software and NumPy/SciPy.


  • Presentations of scientific tools and libraries using the Python language, including but not limited to:
    • Vector and array manipulation
    • Parallel computing
    • Scientific visualization
    • Scientific data flow and persistence
    • Algorithms implemented or exposed in Python
    • Web applications and portals for science and engineering-
  • Reports on the use of Python in scientific achievements or ongoing projects.
  • General-purpose Python tools that can be of special interest to the scientific community.