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Julia is a fast, dynamic, and general-purpose language that supports multiple platforms and paradigms. Learn about its visualization, data science, machine learning, and scientific domains, as well as its open source ecosystem and events.
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It is multi-paradigm, combining features of imperative,...
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The official website for the Julia Language. Julia is a...
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Pluto.jl is a Julia programming environment designed for...
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The Julia blog discusses issues of numerical, technical,...
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Community - The Julia Programming Language
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The Julia language organization puts out a call for...
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Try Julia in Your Browser - The Julia Programming Language
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Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science.
The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line:
The official website for the Julia Language. Julia is a language that is fast, dynamic, easy to use, and open source. Click here to learn more.
Julia est un langage de programmation de haut niveau, performant et dynamique pour le calcul scientifique, avec une syntaxe familière aux utilisateurs d'autres environnements de développement similaires (Matlab, R, Scilab, Python, etc.).
It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming.
Julia Academy offers instructor led videos, exercises, and certificates for learning Julia, a fast, dynamic, and open source language. Explore other resources such as books, tutorials, YouTube, and Pluto.jl notebooks.
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