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  1. 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.

  2. Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science.

  3. 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:

  4. 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.

  5. Dec 27, 2021 · Julia is a fast and easy programming language for computational complex problems. This guide covers the basics of Julia, such as variables, types, conditionals, loops, functions, and packages.

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  6. julialang.org › downloadsDownload Julia

    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.

  7. julialang.org › learning › getting-startedGetting Started with Julia

    Learn how to install, run, and use Julia, a new programming language for technical and scientific users. Find out how to get packages, develop your own code, and get help from the Julia community.