python posts – Page 2

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 …

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 …

A journal promoting high-quality research code: dream and reality

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 …

Update on scikit-learn: recent developments for machine learning in Python

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 …

Want features? Just code

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?”. To quote him:

Is there ANY plan for having such a module in package bar?? I think (personally) that this is a …

Book review: NumPy 1.5 Beginner’s guide

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 …

Joblib beta release: fast compressed persistence + Python 3

Joblib 0.6: better I/O and Python 3 support

Happy new year, every one. I have just released Joblib 0.6.0 beta. The highlights of the 0.6 release are a reworked enhanced pickler, and Python 3 support.

Many thanks go to the contributors to the 0.5 …

Scikit-learn NIPS 2011 sprint: international thanks to our sponsors

The NIPS conference: time for a sprint. The NIPS conference, one of the major conferences in machine learning, is hosted in Granada this year. I believe that it is the first time that it is hosted in Europe. As many of the scikit-learn developers are part of the wider NIPS …

Cython example of exposing C-computed arrays in Python without data copies

Some advice on passing arrays from C to Python avoiding copies. I use Cython as I have found the code to be more maintainable than hand-written Python C-API code.

I found out that there was no self-contained example of creating numpy arrays from existing data in Cython. Thus I created …

Python at scientific conferences

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 …