The Julia Programming Language
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Updated
Jul 16, 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
Interactive data visualizations and plotting in Julia
Bayesian inference with probabilistic programming.
Powerful convenience for Julia visualizations and data analysis
A general-purpose probabilistic programming system with programmable inference
Curated decibans of Julia programming language.
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
⚡ Single-pass algorithms for statistics
A benchmarking framework for the Julia language
HDF5-compatible file format in pure Julia
Book on Julia for Data Science
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
Probabilistic programming via source rewriting
Finally, a GUI Engine made for Julia
Save and load data in the HDF5 file format from Julia
MPI wrappers for Julia
A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
An implementation of the Microsoft Language Server Protocol for the Julia language.
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012