This week we created a sourceforge project to host our development of scikit-learn. Although the project already had a directory in scipy's repo, we needed more flexibility in the user management and in the mailing list creation, so we opted for SourceForge. To be honest, after using git and ...

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New job, new code, new city, new colleagues. Feels something like this:

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This week I arrived to the place where I will be working the following two years: Neurospin.

It's a research center located 20 km from Paris, and so far things are going smoothly: the place is beautiful, work is great and food is excellent. Well OK, I do miss ...

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Nice thing about winter in Granada is, that even in the coldest days, the sky is always blue.

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My new job is about managing an open source package for machine learning in Python. I've had some experience with Python now, but I am a total newbie in the field of machine learning, so my first task will be to find a good reference book in the subject ...

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I'm extremely glad that finally I am moving to Paris to work as part of the INRIA crew. I'll be working with Gael Varoquaux and his team in an extremely cool Python related project (more to come on this in the following weeks). Granada has been a great ...

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Google Summer of Code program is officially over. It has been four months of intense work, exciting benchmarks and patch reviewing. It was a huge pleasure working with you guys! As for the project, I implemented a complete logic module and then an assumption system for sympy (sympy.logic, sympy ...

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I managed to overcome the overhead in ask() that arises when converting between symbol and integer representation of sentences in conjunctive normal. The result went beyond what I expected. The test suite for the query module got 10x times faster in my laptop. From 26 seconds, it descended to an ...

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Today I've been doing some speed improvements for the logic module. More precisely, I implemented an efficient internal representation for clauses in conjunctive normal form. In practice this means a huge performance boost for all problems that make use the function satisfiable() or dpll_satisfiable(). For example, test_dimacs.py has ...

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This commit introduced a new module in sympy: the refine module. The purpose of this module is to simplify expressions when they are bound to assumptions. For example, if you know that x>0, then you can simplify abs(x) to x. This code was traditionally embedded into the core ...

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