julia

Summary

Julia is a high-level, high-performance dynamic programming language for technical computing. It combines the ease of use of Python and R with the speed of C, featuring a JIT compiler, multiple dispatch, and support for a range of programming paradigms.

Paradigms

imperative, functional, object-oriented

Domains

scientific computing, data science, numerical analysis, statistics, machine learning frameworks

Key Features

first-class functions, type inference, meta-programming, macros, operator overloading, modules, interactive development, REPL, native FFI, string interpolation, coroutines, variadic functions, named arguments

Typing

dynamic system, non-structural typing, strong typing, partial inference, runtime checking, conservative type coercion, optional type annotations

Compilation

compiled, interpreted with JIT compilation

Influenced By

Python, R, MATLAB, Lisp, Ruby, C, Lua, Mathematica

Ratings

File extensions

jl

External Links

• julia official site
• @JuliaLanguage on X
• julia jobs at Devjobsscanner
• r/Julia subreddit
• Trending GitHub repositories