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General. Julia provides asynchronous I/O, metaprogramming, debugging, logging, profiling, a package manager, and more. One can build entire Applications and Microservices in Julia. Open source. Julia is an open source project with over 1,000 contributors. It is made available under the MIT license. The source code is available on GitHub.
Install the latest Julia version ( v1.10.4 June 4, 2024) by running this in your terminal: curl -fsSL https://install.julialang.org | sh. It looks like you're using a Unix-type system. For Windows instructions click here. Once installed julia will be available via the command line interface.
Julia is a language that is fast, dynamic, easy to use, and open source. Click here to learn more.
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:
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.
Julia is a high-performance, dynamic programming language for modern technical computing. It solves the two language problem by being simultaneously as fast as C and as easy as Python.
There are many ways to install Julia. The following sections highlight the recommended method for each of the main supported platforms, and then present alternative ways that might be useful in specialized situations. The current installation recommendation is a solution based on Juliaup.
Julia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below.
Julia is an open-source, multi-platform, high-level, high-performance programming language for technical computing. Julia has an LLVM -based JIT compiler that allows it to match the performance of languages such as C and FORTRAN without the hassle of low-level code.
Current Release (v0.6.1) We provide several ways for you to run Julia: In the terminal using the built-in Julia command line. In the browser on JuliaBox.com with Jupyter notebooks. No installation is required – just point your browser there, login and start computing. JuliaPro by Julia Computing is a batteries included distribution of Julia.
