- The Julia Programming Language
Julia was designed for high performance Julia programs automatically compile to efficient native code via LLVM, and support multiple platforms Julia is dynamically typed, feels like a scripting language, and has good support for interactive use, but can also optionally be separately compiled
- Julia Programming Language Documentation
Julia is a high-performance open source programming language designed for scientific and numerical computing Created to solve the "two-language problem," Julia combines the ease and expressiveness of languages like Python and R with performance comparable to C C++
- GitHub - JuliaLang julia: The Julia Programming Language
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
- Installing 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
- Manual Downloads
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 Documentation · The Julia Language
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
- Getting Started · The Julia Language
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:
- Tutorials - Julia
From zero to Julia! by Aurelio Amerio An expanding series of short tutorials about Julia, starting from the beginner level and going up to deal with the more advanced topics
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