I am super excited to announce a job offer that is dear to my heart: doing quality open-source software, with Python scientific tools and machine learning, for clinical application of brain imaging. This is the most exciting job that I have had the chance to be recruiting for!
We are looking for a programmer to join [...]
John Hunter, the author of matplotlib passed away yesterday after a short battle against cancer. John gave the keynote at the scipy 2012 conference a few weeks ago, and was diagnosed with cancer just on his return from the conference. It is a shock to me that that a friend can disappear so quickly. Please [...]
Open research computation (ORC) was an attempt to create a scientific publication promoting high-quality and open source scientific code. The project went public in falls 2010, but last month, facing the low volume of submission, the editorial board chose to reorient it as a special track of an existing journal.
The challenges that we face [...]
Yesterday, we released version 0.11 of the scikit-learn toolkit for machine learning in Python, and there was much rejoincing.
Major features gained in the last releases
In the last 6 months, there have been many things happening with the scikit-learn. While I do not whish to give an exhaustive summary of features added (it can be found [...]
The scikit-learn got 3 students accepted for the Google summer of code.
Imanuel Bayer will work on making our sparse linear models, for regression and classification, faster. His proposal Optimizing sparse linear models using coordinate descent and strong rules.
David Marek will implement multi-layer perceptrons for the scikit. His proposal: Multilayer Perceptron
Vlad Niculae will work on speeding [...]
Lately, I have been a mood of scientific scepticism: I have the feeling that the worldwide academic system is more and more failing to produce useful research. Christophe Lalanne’s twitter feed lead me to an interesting article in a non-mainstream journal: A farewell to Bonferroni: the problems of low statistical power and publication bias, [...]
Packt publishing sent me a copy of NumPy 1.5 Beginner’s guide by Ivan Idris.
The book actually covers more than only numpy: it is a full introduction to numerical computing with Python. The table of contents is the following:
NumPy Quick Start
Beginning with NumPy Fundamentals
Get into Terms with Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices [...]
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 [...]
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.
Job Description
INRIA is looking to [...]
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