The Julia Programming Language
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Updated
Aug 28, 2022 - Julia
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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
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
App to easily query, script, and visualize data from every database, file, and API.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
High level plotting on the GPU.
Powerful convenience for Julia visualizations and data analysis
A Julia machine learning framework
In-memory tabular data in Julia
Koç University deep learning framework.
Curated decibans of Julia programming language.
21st century AD
Package to call Python functions from the Julia language
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012