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PRNI 2016: call for organization

The steering committee of PRNI (Pattern Recognition for NeuroImaging) is opening a call for bid to organize the conference in June 2016, in Europe

New website

I am moving my website to a new design, relying on Pelican and more modern CSS.

So far, I had been using rest2web to generate the static part of the website, and a local install of wordpress for the blog. I wasn’t doing good on keeping the wordpress install ...

Improving your programming style in Python

Some references on software development techniques and patterns to help write better code.

Hiring an engineer to mine large functional-connectivity databases

Work with us to leverage leading-edge machine learning for neuroimaging

At Parietal, my research team, we work on improving the way brain images are analyzed, for medical diagnostic purposes, or to understand the brain better. We develop new machine-learning tools and investigate new methodologies for for quantifying brain function from ...

Scikit-learn 2014 sprint: a report

A week ago, the 2014 edition of the scikit-learn sprint was held in Paris. This was the third time that we held an internation sprint and it was hugely productive, and great fun, as always.

Great people and great venues

We had a mix of core contributors and newcomers, which ...

Scikit-learn 0.15 release: highlights

We have just released the 0.15 version of scikit-learn. Hurray!! Thanks to all involved.

A long development stretch

It’s been a while since the last release of scikit-learn. So a lot has happened. Exactly 2611 commits according my count. Quite clearly, we have more and more existing code ...

Google summer of code projects for scikit-learn

I’d like to welcome the four students that were accepted for the GSoC this year:

Welcome to all of you. Your submissions were excellent, and you demonstrated a good will ...

Hiring a programmer for a brain imaging machine-learning library

Work with us on putting machine learning in the hand of cognitive scientists

Parietal is a research team that creates advanced data analysis to mine functional brain images and solve medical and cognitive science problems. Our day to day work is to write machine-learning and statistics code to understand and ...

Publishing scientific software matters

Christophe Pradal, Hans Peter Langtangen, and myself recently edited a version of the Journal of Computational Science on scientific software, in particular those written in Python. We wrote an editorial defending writing and publishing open source scientific software that I wish to summarize here. The full text preprint is openly ...

Scikit-learn 0.14 release: features and benchmarks

I have tagged and released the scikit-learn 0.14 release yesterday evening, after more than 6 months of heavy development from the team. I would like to give a quick overview of the highlights of this release in terms of features but also in term of performance. Indeed, the scikit-learn ...