Julia and Python: a dynamic duo for scientific computing; SciPy 2013 Presentation

Authors: Bezanson, Jeff, MIT; Karpinski, Stefan, MIT #Julia is a recent addition to the collection of tools a scientist has available for tackling computational problems. It combines the simple programming model of a dynamic language like Python with the performance of a compiled language, while exposing expressive high-level features such as a sophisticated type system, dynamic multiple dispatch, Lisp-style macros and metaprogramming. Julia can natively make zero-overhead calls to C and Fo
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