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, …

Julia is a high-performance programming language designed from the ground up for numerical computing, data science, and scientific machine learning.

As a high-level language, distinctive aspects of Julia's design include a type system with parametric polymorphism, the use of multiple dispatch as a core programming paradigm, just-in-time compilation …

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 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 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 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.

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.

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 …

The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages.