The Julia Programming Language
-
Updated
May 11, 2024 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
The Julia Programming Language
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Powerful convenience for Julia visualizations and data analysis
Learn the language basics in this 10-part course.
Interactive data visualizations and plotting in Julia
Bayesian inference with probabilistic programming.
Curated decibans of Julia programming language.
Julia extension for Visual Studio Code
A general-purpose probabilistic programming system with programmable inference
Learn Julia the hard way!
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Save and load data in the HDF5 file format from Julia
MPI wrappers for Julia
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
A benchmarking framework for the Julia language
Book on Julia for Data Science
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012