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
Call for contributions | Organizers | Conference poster | Practical information | contact: org-team at lists dot euroscipy dot org
||Tues Aug 23 - Wed Aug 24, 2011
||Thur Aug 25 - Fri Aug 26, 2011
||Sat Aug 27 - Sun Aug 28, 2011
||Mon Aug 29 - Tues Aug 30, 2011
|Early bird until
||Sunday July 24
|conference standard fee
|conference reduced fee
||50 euros (speakers, individuals, academia)
|tutorials standard fee
|tutorials reduced fee
||50 euros (speakers, individuals, academia)
||fee will double after Sunday July 24
Spread the word,
Download the poster:
- 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
- General-purpose Python tools that can be of special interest to the
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)||Description||First talk||Last talk||Total talks|
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 email@example.com
|2011/08/23 09:00||2011/08/24 18:00||1|
|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.
|2011/08/25 09:00||2011/08/26 17:30||8|
|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:
- able to write reasonable quality, procedural Python programs.
- 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.
- understand the general tools, workflow and best practices involved in writing good quality, Python programs for scientific computing.
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 09:00||2011/08/26 17:30||4|
|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 09:00||2011/08/28 15:30||18||