Thursday, February 12, 2015

JULIA – A FAST DYNAMIC LANGUAGE FOR TECHNICAL COMPUTING by Øredev Conference

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.

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