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Julia is a fast, dynamic, and general-purpose language that supports multiple platforms and paradigms. Learn about its features, ecosystem, packages, and community resources.
- Download
Download - The Julia Programming Language
- Documentation
Julia provides ease and expressiveness for high-level...
- Learn
Learn - The Julia Programming Language
- Blog
The Julia blog discusses issues of numerical, technical,...
- Community
Please take a moment to read the Julia Community Standards....
- Contribute
Welcome to the Julia Ecosystem Contributor’s Guide and to...
- JSoC
The Julia organization generally fields a large number of...
- Discourse
The Julia programming language forum: discuss usage,...
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Julia is a high-performance, open source programming language for data science, machine learning, and computation. Learn how to download and install the latest stable or upcoming release of Julia for various platforms and architectures.
Julia Academy is a platform for learning Julia, a fast, dynamic, and open source language. It offers videos, exercises, tutorials, books, and more resources to get started with Julia.
Learn how to install, run and use Julia, a high-performance dynamic programming language. Find out the differences from other languages, the interactive session features, and the learning resources.
Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science.
Julia provides a complete collection of basic arithmetic and bitwise operators across all of its numeric primitive types, as well as providing portable, efficient implementations of a comprehensive collection of standard mathematical functions. Arithmetic Operators. The following arithmetic operators are supported on all primitive numeric types:
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. To achieve this, Julia builds upon the lineage of mathematical programming languages, but also borrows much from popular dynamic languages, including Lisp , Perl , Python ...
