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Julia is a fast, dynamic, and general-purpose language that supports multiple platforms and paradigms. Learn about its visualization, data science, machine learning, and scientific domains, as well as its open source ecosystem and events.
- Documentation
Julia provides ease and expressiveness for high-level...
- Downloads
The official website for the Julia Language. Julia is a...
- Learn
We have created a non-exhaustive list of community provided...
- Community
All the JuliaCon videos and other videos of general interest...
- The Julia Language Blog
The Julia blog discusses issues of numerical, technical,...
- Contribute
If you are a complete beginner to the Julia language or...
- JSoC
The Julia language organization puts out a call for...
- Getting Started
Julia is a new programming language. It is also a general...
- Documentation
Julia ist eine höhere Programmiersprache, die vor allem für numerisches und wissenschaftliches Rechnen entwickelt wurde und auch als Allzweck-Programmiersprache verwendet werden kann, bei gleichzeitiger Wahrung einer hohen Ausführungsgeschwindigkeit.
Julia is a high-level, general-purpose [23] dynamic programming language, most commonly used for numerical analysis and computational science.
Julia is a high-performance, open source programming language for data science, machine learning, and computation. Learn how to install the latest stable release of Julia (v1.10.4) or the long-term support release (v1.6.7) on Windows, macOS, Linux, and other systems.
Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming.
Learn what Julia is, how to install it, and how to use it for technical and scientific computing. Find out how to get packages, develop your own code, and get help from the Julia community.
The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line:
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