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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.
- Download
Download - The Julia Programming Language
- Documentation
It is multi-paradigm, combining features of imperative,...
- Learn
Pluto.jl is a Julia programming environment designed for...
- Blog
The Julia blog discusses issues of numerical, technical,...
- Community
Community - The Julia Programming Language
- Contribute
If you are a complete beginner to the Julia language or...
- JSoC
The Julia language organization puts out a call for...
- Try Julia In Your Browser
This site is powered by Netlify, Franklin.jl, and the Julia...
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Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science.
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.
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.
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.
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.
