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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
It is multi-paradigm, combining features of imperative,...
- Downloads
Downloads - The Julia Programming Language
- Learn
Learn - The Julia Programming Language
- Community
Community - The Julia Programming Language
- The Julia Language Blog
The Julia blog discusses issues of numerical, technical,...
- Contribute
If you are a complete beginner to the Julia language or...
- Getting Started
Getting Started - The Julia Programming Language
- Tutorials
Julia language: a concise tutorial by Antonello Lobianco. A...
- Documentation
Lizenz: MIT-Lizenz, GPL, LGPL, BSD. The Julia Language. 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. [4] [5] [6] [7] [8] Die Syntax ...
Julia (programming language) Julia is a high-level, general-purpose [21] 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 (v1.10.3) or the long-term support release (v1.6.7) on Windows, macOS, Linux, and other systems.
It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. 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 Julia, a fast, dynamic, and open source language, with various online and offline resources. Explore videos, exercises, books, notebooks, and more from the Julia community.
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.