Industry
Business & Industry Applications
Language
Python
R
Julia
Multiple
C
C++
Java
Matlab
Rust
and many others
Features
Data Wrangling
Modeling
Visualization
High Performance Computing
Big Data
Statistical Computing
Numerical Computing
Data Mining
Text Processing
Machine Learning
Computing Language
Subject Area Libraries
Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing.
Julia is used in a wide variety of contexts. Julia has been used by researchers with the FAA as a specification language for the next-generation Airborne Collision Avoidance System, and to examine the effect of the No Child Left Behind act in Wisconsin. Dozens of universities offer courses using Julia for teaching, including MIT, Sciences Po Paris, and Stanford. Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, National Energy Research Scientific Computing Center, National Renewable Energy Laboratory, and Oak Ridge National Laboratory all have a DOE lab using Julia. Numerous companies make use of Julia in industry, including AOT Energy, Augmedics, Aviva, Berkery Noyes, BestX, Gambit Research, Lincoln Labs, Path BioAnalytics, Tangent Works, Voxel8, Amazon, Apple, BlackRock, BNDES, Capital One, Comcast, Disney, Facebook, Federal Reserve Bank of New York, Ford, IBM, KPMG, Microsoft, NASA, Oracle, and PWC.
