JULIA

Technical Computing, Done Right

Created: 2012 Creators: Jeff Bezanson et al. Typing: Dynamic

// OVERVIEW

Julia is a high-level, high-performance, dynamic programming language. While it is a general-purpose language and can be used to write any application, many of its features are well suited for numerical analysis and computational science.

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Speed

C-like performance

📐

Mathematical

Built for technical computing

🔬

Scientific

Differential equations, ML

examples.jl

                        

// USE CASES

Data Science

DataFrames, ML, Stats

Physics

Quantum, fluid dynamics

Finance

Quantitative analysis

Bioinformatics

Genomics, simulations

// RESOURCES