Why We Created Julia: A Manifesto for High-Performance Scientific Computing
This article, authored by the creators of the Julia programming language, explains the motivation behind its development. The founders, including Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman, describe themselves as greedy users of various existing languages like MATLAB, Python, R, C, and Lisp. They sought a single, free, and open-source solution that combines the speed of C with the dynamism of Ruby and the ease of use of high-level scripting languages. Julia was designed to address the limitations of current tools in scientific computing, machine learning, and large-scale linear algebra. Key features include optional type declarations, multiple dispatch, real macros, and the ability to compile simple loops into efficient machine code while supporting distributed computing without the complexity of Java-based frameworks like Hadoop. Although initially conceived as a project to satisfy their specific technical demands, the authors present Julia as a versatile language ready for broader adoption, inviting other demanding developers to contribute to its evolution.
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Why We Created Julia: A Manifesto for High-Performance Scientific Computing
This article, authored by the creators of the Julia programming language, explains the motivation behind its development. The founders, including Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman, describe themselves as greedy users of various existing languages like MATLAB, Python, R, C, and Lisp. They sought a single, free, and open-source solution that combines the speed of C with the dynamism of Ruby and the ease of use of high-level scripting languages. Julia was designed to address the limitations of current tools in scientific computing, machine learning, and large-scale linear algebra. Key features include optional type declarations, multiple dispatch, real macros, and the ability to compile simple loops into efficient machine code while supporting distributed computing without the complexity of Java-based frameworks like Hadoop. Although initially conceived as a project to satisfy their specific technical demands, the authors present Julia as a versatile language ready for broader adoption, inviting other demanding developers to contribute to its evolution.
JuliaLang - The Julia programming language