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v a

2010-09-07T22:05-01:00

vid@svaksha.com

2010-09-07T22:05-01:00

Riccardo Maria Bianchi

2010-09-05T13:30-01:00

Alexandre Martin

2010-09-03T16:07-01:00

Niko Wilbert

2010-09-02T19:08-01:00

Cenk Yildiz

2010-09-01T13:42-01:00

Cyrille Rossant

2010-08-31T21:55-01:00

Elena Nazarenko

2010-08-30T16:43-01:00

Vincent Férotin

2010-08-30T12:48-01:00

Francisco de la Pena

2010-08-25T10:31-01:00

Admin Istrator

2010-08-24T11:35-01:00

Frederic De Groef

2010-08-11T23:07-01:00

Vincent Michel

2010-08-09T09:56-01:00

Guillaume Baty

2010-08-01T21:14-01:00

Bertrand Fontaine

2010-07-29T15:33-01:00

Daniel Barbeau

2010-07-27T14:24-01:00

EuroSciPy 2010 - Organizers

Admin Istrator — 2010-07-26T13:53-01:00

Emmanuelle Gouillart

2010-07-26T13:51-01:00

Euroscipy 2010 is over: please fill in the feedback form!

Emmanuelle Gouillart — 2010-07-24T12:28-01:00

If you attended Euroscipy 2010 (tutorials and/or conference), we're very interested in getting your feedback on the event. We have set up an anonymous feedback survey on http://spreadsheets.google.com/viewform?formkey=dGpqVGRBN1VHdEMxZVJmTW9paG5ycWc6MQ. It will take you only a couple of minutes to answer a dozen of questions on the tutorials, the talks, the practical organization, your wishlist for Euroscipy 2011, etc.

Up to now, 35 people have filled in the form (many thanks to them!). If you have not yet filled in the feedback survey (there were 170+ participants to Euroscipy 2010!), make your voice heard now!

ReST text

Emmanuelle Gouillart — 2010-07-25T12:15-01:00

Damien Vandembroucq

2010-07-24T22:33-01:00

Thomas Cokelaer

2010-07-22T09:19-01:00

EuroSciPy 2010

Admin Istrator — 2010-07-21T23:43-01:00

3rd European meeting on Python in Science

Paris, Ecole Normale Supérieure, July 8-11 2010

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 papers | Organizers | Conference poster | Practical information | contact: info at euroscipy dot org

Latest News: Selected papers from the conference will appear in as a conference proceeding in the high-profile 'Journal of Computational Science', more info here.

Slides: Slides materials are uploaded on the corresponding talk page, on the bottom right of the page.

Important dates

Registration	Closed since July 4
Paper submission	Closed since May 22nd
Tutorials tracks	Thursday July 8 - Friday July 9
Conference track	Saturday July 10 - Sunday July 11

Main topics

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 projects.
General-purpose Python tools that can be of special interest to the scientific community.

Keynote Speakers

Hans Petter Langtangen

Simula laboratory, Oslo, director of scientific computing and bio-medical research
Author of the famous book Python scripting for computational science

Konrad Hinsen

Synchrotron SOLEIL and Centre de Biophysique Moléculaire (Orléans)
One of the fathers of numeric, and developer of Scientific Python.

Program

banner_euroscipy.jpg

2010-07-21T23:42-01:00

Advanced numpy

Admin Istrator — 2010-07-21T19:36-01:00

Highly efficient computations in Python: well beyond NumPy

2010-07-21T19:35-01:00

NumPy is de-facto standard for performing numerical computations in Python. It provides a compact container for representing data arrays and permits to perform artihmetic operations in an element-by-element fashion, as well as supporting array broadcasting, type casting, and several other outstanding features.

Unfortunately, NumPy cannot efficiently deal with the evaluation of complex expressions in the form "4.4*x**3+3.2*y**2". The reason is that it has to deal with temporaries for the above expression in the order established by the Python interpreter and, as it it turns out, this order is rather pessimal for modern computers.

During my tutorial, I'll briefly explain what is exactly the problem, and will introduce a series of tools for evaluating complex expressions from Python at almost C speeds. Among the tools I'll talk about, there will be:

Numexpr, a memory-efficient computing kernel
Intel's Vector Math Library, for accelerating vector calculations
Blosc, a compressor that can run faster than a pure memcpy()
PyTables, a library that can make use of all the above tools

After this, I'll propose some exercises that will allow the attendees to better grasp how to achieve very high performance in their computations by using the above tools in combination with NumPy.

Attendees should bring their laptops with PyTables 2.2rc2 or higher installed. Matplotlib can also be useful, but not strictly necessary.

Using Fortran and C with Python

Admin Istrator — 2010-07-21T19:33-01:00

Using cython to accelerate Python with compiled code

Gaël Varoquaux — 2010-07-21T19:33-01:00

Cython is a language that makes writing C extensions for the Python language as easy as Python itself. The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. In addition, Cython is tightly integrated with numpy.

This tutorial will teach the attendee:

an introduction to the Cython language
how to converting numerical Python code to Cython code
how to optimize the corresponding Cython

From scripts to libraries: packaging and documentation

Admin Istrator — 2010-07-21T19:32-01:00

Version control, testing, static checking, etc.

Admin Istrator — 2010-07-21T19:32-01:00