Gaël Varoquaux

I have tagged and released the scikit-learn 0.14 release yesterday evening, after more than 6 months of heavy development from the team.

John Hunter, the author of matplotlib passed away yesterday after a short battle against cancer.

Open research computation (ORC) was an attempt to create a scientific publication promoting high-quality and open source scientific code.

Yesterday, we released version 0.11 of the scikit-learn toolkit for machine learning in Python, and there was much rejoincing.

The scikit-learn got 3 students accepted for the Google summer of code.

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.

Somebody just sent an email on a user’s mailing list for an open-source scientific package entitled “Feature foo: why is package bar not up to the task?”.

Packt publishing sent me a copy of NumPy 1.5 Beginner’s guide by Ivan Idris.

Joblib 0.6: better I/O and Python 3 support Happy new year, every one.

The NIPS conference: time for a sprint.

Some advice on passing arrays from C to Python avoiding copies.

Top notch scientific conferences are starting to add Python tracks to their program.

At the request of a friend, I am putting up some of the posters that I recently presented at conferences.

Once again, we are looking for a junior developer to work on the scikit-learn.

The Scipy 2011 conference in Austin Last week, I was at the Scipy conference in Austin.

Euroscipy 2011: register now for early bird prices The deadline for early-bird registration at the Euroscipy conference is this Sunday.

The scikit-learn is a Python module for machine learning.

Submission deadline May 8th The deadline for the call for presentation for the EuroScipy conference is on May 8th.

The scikit-learn team is organizing a sprint on April 1st (that next Friday).

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) cyth…

My research group is kick starting a new project, called AzureBrain to do computational analysis of large brain imaging and genetics population-wise data.

We have finally been able to settle on final dates and venue for EuroSciPy 2011, the 4th European meeting on Python in Science.

The French basic research landscape is dominated by a few nationwide institute, similar to the NIST or the NIH in the US.

The academic community seems to judge the validity and significance of any contribution by the number of papers published and the number of citations they get.

When I was trying to get an intuitive feeling of the difference between Independent Component Analysis (ICA) and Principal Component Analysis (PCA), I wrote a few Python scripts producing some visualizations explaining the difference that have had a bit of

If the videos on this post are not showing, click through to see them.

Yes, but they overfit If you are reading this post through a planet, the movie isn’t showing up, just click through to understand what the hell this is about.

We have been really crap at communicating the next scikit-learn coding sprint.

To be able to visualize some quantities attached to countries all over the world, I needed a image with various countries color-coded.

I have just spent the best part of my Sunday fixing a bug that turned out being a seemingly-trivial two-liner.

We are organizing a coding sprint in Paris on scikit learn, machine learning in Python.

A signature pattern There are many libraries around to specify what I call a ‘signature’ for an object, in other words a list of attributes that define its parameter set.

Euroscipy 2010, the third European conference for the use of Python in science, is just over, and I think it was a great success.

This page gives some advices and examples on making posters for scientific conference.

Here is a very simple example of a laTeX document that uses good package to have a simple but nice layout: The LaTeX source The pdf document Some advice Use texniccenter if you don’t have a favorite editor.

My contributions to the scientific computing software ecosystem are motivated by my vision on computational science.

Given that we have been able to turn on registration only very late, the EuroScipy conference committee is extending the deadline for abstract submission for the 2010 EuroScipy conference.

The registration for EuroScipy is finally open.

It is still not possible to register for the Euroscipy conference: we are having difficulties with payment for the registration, and we are still not sure that we will be able to actually charge money!

We have been getting a few questions on the enthought-dev mailing-list on how to represent an additional information on a surface with Mayavi, using color not given eg by the elevation.

Packt publishing sent me a copy of Sandro Tosi’s book Matplotlib for Python Developpers a while ago.

A week ago, the Peter Wang released a new version of the Enthought Tool Suite (ETS).

The Aikon project has just been slashdotted.

EuroScipy 2010, the 3rd European meeting on Python in Science, will be held July 8-11 in the center of Paris, at the Ecole Normale Supérieure.

Dimension reduction and interpretability Suppose you have statistical data that too many dimensions, in other words too many variables of the same random process, that has been observed many times.

We are finally announcing the online edition of SciPy proceedings: http://conference.scipy.org/proceedings/SciPy2009/ This year, we tried to raise the bar in terms of article quality.

The 3rd European meeting on Python in Science Paris, Ecole Normale Supérieure, July 8-11 2010 We are happy to announce the 3rd EuroScipy meeting, in Paris, July 2010.

We’re famous: the work that concluded my PhD is now picked up by the press http://www.physorg.com/news179481148.html I hadn’t realized before reading this journalist’s version of the story, but we have all the proper buzz words: general relativity quantum…

Decoration is a fantastic pattern in Python that allows for very light-weight metaprograming with functions rather than objects (see this article for an in-depth discussion).

Although I often have embarrasingly parallel problems (data parallel), and I have an 8-CPU box at work, I used to frown on writing parallel computing code when doing exploratory coding.