For the past few months, I've been covering different software packages for scientific computations. For my next several articles, I'm going to be focusing on using Python to come up with your own ...

George Washington University is launching a groundbreaking example of inter-institutional collaboration in open education through a Massive Open Online Course (MOOC) entitled “Practical Numerical ...

According to a chapter dedicated to the topic in the publication, one way of achieving Python parallelism is through NumExpr, “in which a symbolic evaluator transforms numerical Python expressions ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

If your data is completely numeric, then the k-means technique is simple and effective. But if your data contains non-numeric data (also called categorical data) then clustering is surprisingly ...

"Numba addresses many numerical use cases very well but cannot optimize entire programs, and it does not address the wider world of Python use cases.