Papers › Julia: A Fast Dynamic Language for Technical Computing

Julia: A Fast Dynamic Language for Technical Computing

24 Sep 2012arXiv:1209.5145links table onlyarchive 2025-07-28

Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman

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Dynamic languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This paper presents Julia, a new dynamic language for technical computing, designed for performance from the beginning by adapting and extending modern programming language techniques. A design based on generic functions and a rich type system simultaneously enables an expressive programming model and successful type inference, leading to good performance for a wide range of programs. This makes it possible for much of the Julia library to be written in Julia itself, while also incorporating best-of-breed C and Fortran libraries.

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ZKSI/QuantumInformation.jl mentioned on GitHubGPL-3.0 report
iitis/QuantumInformation.jl mentioned on GitHubGPL-3.0 report

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