Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background.
Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. Libraries from Python, R, C/Fortran, C++, and Java can also be used.
Features
- Multiple dispatch paradigm for easy expression of many object-oriented and functional programming patterns
- Dynamically-typed, with good support for interactive use
- A rich language of descriptive datatypes
- Over 2,800 community packages
Project Samples
Categories
Software Development, Data Visualization, Machine Learning, Deep Learning Frameworks, Programming LanguagesLicense
MIT License
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