4th European meeting on Python in Science

Paris, Ecole Normale Supérieure, August 25-28 2011

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.


Call for contributions | Organizers | Conference poster | Practical information | contact: org-team at lists dot euroscipy dot org

Important dates

Sprints Tues Aug 23 - Wed Aug 24, 2011
Tutorials tracks Thur Aug 25 - Fri Aug 26, 2011
Conference track Sat Aug 27 - Sun Aug 28, 2011
Satellites Mon Aug 29 - Tues Aug 30, 2011


Early bird until Sunday July 24
conference standard fee 100 euros
conference reduced fee 50 euros (speakers, individuals, academia)
tutorials standard fee 100 euros
tutorials reduced fee 50 euros (speakers, individuals, academia)
Late registration fee will double after Sunday July 24

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Main topics

  • 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.

Keynote Speakers

Marian Petre
Fernando Perez

Satellite conferences

Poster instructions

Posters should be printed on a paper of at most A0 size, in portrait mode.

The conference was divided into the following tracks:
Track title (5)DescriptionFirst talkLast talkTotal talks
Sprints 2011

Rooms at the ENS are available on demand on the 23rd and 24th to organize sprints to work on packages belong to the scientific computing stack in Python.

If you want to organize a sprint, please contact org-team@lists.euroscipy.org

2011/08/23 09:002011/08/24 18:001
Advanced tutorial track 2011

Tutorials covering in-depth specific tools and projects, aimed at experienced users and presented by leading experts of the topic.


Scientists and engineers who already have experience in scientific computing with Python.


The tutorials will be as much as possible hands on classes. The attendees should have the required software installed before the tutorial.

Lecture notes: http://scipy-lectures.github.com/index.html

2011/08/25 09:002011/08/26 17:308
Poster and Demo Session 2011

During this session posters will be presented, and you will have time to meet and discuss with the authors.

Libraries and applications presented in the main track will have the chance to showcase themselves presenting demos.

Introductory tutorial track 2011


Scientists and engineers who are familiar with and basic programming and numerical computing.


At the end of the course participants will be:

  1. able to write reasonable quality, procedural Python programs.
  2. broadly exposed to several of the relevant Python packages for numerical computing like ipython (interactive data exploration), numpy (arrays), scipy (numerics), matplotlib (high quality 2D plotting), in order to write code for typical scientific computing tasks involving numerical algorithms, data analysis, data exploration and visualization.
  3. understand the general tools, workflow and best practices involved in writing good quality, Python programs for scientific computing.

Structure of tutorial

The course will be completely hands on. All of the lecture material will expect users to type along and the sessions will be punctuated with exercises. The solutions for these exercises will also be discussed.


Attendees are expected to bring along their laptops fully setup with the necessary software. We suggest installing Python(x,y) or EPD. If you install Python(x,y) be sure to install the Full Edition which includes the Advanced Python Modules. The various software required are:

  • Python, version 2.5 or above,
  • numpy, version 1.2 or above,
  • scipy, version 0.7 or above,
  • IPython, version 0.8 or above,
  • matplotlib, version 0.9 or above,

The tutorials assume the audience has some previous experience with a scientific-computing software (Matlab, Scilab, Octave, etc.) and is comfortable with basic numerical computing in these environments.

No prior programming experience with Python is expected. However, attendees are strongly encouraged to go through the official Python tutorial before attending the Introductory Tutorial. This material will be reviewed during the course, but only briefly.

Lecture notes: http://scipy-lectures.github.com/index.html

2011/08/25 09:002011/08/26 17:304
Scientific track 2011

We welcome contributions on scientific libraries and tools developed with Python and on scientific or engineering achievements using Python.

These talks are 35 minutes in duration (including questions).

2011/08/27 09:002011/08/28 15:3018