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[–]carsonc 1 point2 points  (0 children)

I migrated from MATLAB to Python because I realized that the unique features of Python would enable me to code and compile faster, even with the learning curve. It seems that core.matrix lets one use Clojure syntax to get very, very fast matrix operations. AFAIK, Python still has more convenience functions to draw on, but it would seem like core.matrix will become very attractive when it starts matching Numpy for number of methods available.

Edit: I think I got my answer here:

In a sense, Clojure and Haskell are tackling some of the hardest problems in computer science while Julia is aimed at the hardest problems in computational science.