Top notch scientific conferences are starting to add Python tracks to their program. This is good news. Indeed, it scientific Python conferences (namely Scipy, EuroSciPy and Scipy India) are doing great to get together people who have already heard about Python for science, but we need to reach out to specific Python communities to maximize [...]
Archive for the 'scientific computing' Category
At the request of a friend, I am putting up some of the posters that I recently presented at conferences.
Large-scale functional-connectivity graphical models for individual subjects using population prior.
This is a poster for our NIPS work
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity.
This is a poster for our IPMI work
Mayavi for 3D [...]
Once again, we are looking for a junior developer to work on the scikit-learn. Below is the official job posting. As a personal remark, I would like to stress that this is a unique opportunity to be payed for two years to work on learning and improving the scientific Python toolstack.
INRIA is looking to [...]
The Scipy 2011 conference in Austin
Last week, I was at the Scipy conference in Austin. It was really great to see old friends, and Austin is such a nice place.
The Scipy conference was held in UT Austin’s conference center, which is a fantastic venue. This is the first geek’s conference I have been at where [...]
Euroscipy 2011: register now for early bird prices
The deadline for early-bird registration at the Euroscipy conference is this Sunday. Beyond this deadline prices will double. Register now to get a great deal.
To register, simply go to www.euroscipy.org, log in using the link on the top right, and follow the ‘Register now for the [...]
The scikits.learn is a Python module for machine learning. The project builds on the scientific and numerical tools of the scipy community to provide state-of-the-art data analysis tools. It is developed by a community of open source developers to which my research team (Parietal, INRIA) contributes a lot and is a striving project. Its mailing [...]
Submission deadline May 8th
The deadline for the call for presentation for the EuroScipy conference is on May 8th. There is only a week and a half left.
EuroScipy will be held in Paris, August 25-28. It is the European meeting for users of Python in scientific and numerical-intensive applications. It strives to bring together both users [...]
The scikit-learn team is organizing a sprint on April 1st (that next Friday). Join us in Paris, Boston, or on IRC!
With the rise of the data sciences, the scikit-learn, a BSD-licensed Python package for machine learning, is becoming an asset for more and more endeavors. Machine learning has traditionally been considered as very technical [...]
I just realized yesterday that Christoph Gohlke has a repository of binary installers (.exe) for Windows 32 and 64bit with almost all the scientific Python packages that you can dream of:
numpy, scipy and matplotlib, of course (compiled with the MKL)
the ETS, including Mayavi
VTK, with the Python bindings
a variety of scikits (including the scikit-learn, hurray!)
My research group is kick starting a new project, called AzureBrain to do computational analysis of large brain imaging and genetics population-wise data. One of the goals of the project is to harness the power of grid computing to do statistical learning on fMRI data, finding features in an individuals brain images that can be [...]