- 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
- Download 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
- 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
- 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
- Julie Julia - Wikipedia
Julie Julia is a 2009 American biographical comedy drama film written and directed by Nora Ephron starring Meryl Streep and Amy Adams in the title roles with Stanley Tucci, Chris Messina, and Linda Emond in supporting roles
- 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
- Download Julia Language (free) for Windows, macOS and Linux | Gizmodo
Julia is an open-source programming language designed to make technical and scientific computing easier and faster It was created to bring together the speed of low-level languages and the
- Julia (programming language) - Wikipedia
Julia has interoperability with C, C++, Fortran, Rust, Python, and R Some Julia packages have bindings for Python and R libraries Julia is supported by programmer tools like IDEs (see below) and by notebooks like Pluto jl, Jupyter, and since 2025, Google Colab officially supports Julia natively
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