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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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The official website for the Julia Language. Julia is a...
- Documentation
It is multi-paradigm, combining features of imperative,...
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The Julia Language's YouTube is the one stop shop for all...
- Blog
The Julia blog discusses issues of numerical, technical,...
- Community
Please take a moment to read the Julia Community Standards....
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If you are a complete beginner to the Julia language or...
- JSoC
The Julia organization generally fields a large number of...
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Shop Merchandise - The Julia Programming Language
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Julia is a high-level, general-purpose [23] 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:
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.
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.
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 is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below.