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Python and Scientific Computing

This interesting blog post argues that in recent years Python has gained libraries making it the choice language for scientific computing (over MATLAB and R primarily).

I find the details discussed in the post interesting. Two small points that occur to me are that in several domains Mathematica is still the tool of choice. From what I could see nothing free, let alone open source, is even in the same ballpark in these cases. Second, I find it interesting that several of the people commenting mentioned IPython. It seems to be gaining ground as the primary environment many people use.

MOOC: Paradigms of Computer Programming

The Université catholique de Louvain has joined the edX consortium this year, and as part of edX Peter Van Roy is preparing a MOOC (Massive Open Online Course) called Paradigms of Computer Programming starting next February.

As you'd expect the course uses the CTM book and is based on the course Peter has been teaching, it will thus present a multi-paradigm approach to programming and include non-traditional computational models such as the deterministic dataflow model for concurrent programming.

I wonder who will end up signing up for this course. I think the option of auditing might appeal to folks who found CTM interesting but are way beyond the category of beginning programmers for whom the course is officially designed.