Julia is a high-level, high-performance dynamic language for scientific computing. It has been gaining traction as a faster alternative to Matlab, R and NumPy and as a more productive alternative to C, C++ and Fortran. Julia is particularly relevant when both expressiveness and performance are paramount – in areas like machine learning, “big statistics”, linear algebra, bioinformatics, and image analysis.
Showing posts with label performance. Show all posts
Showing posts with label performance. Show all posts
Thursday, February 12, 2015
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