- The Julia Programming Language
Julia was designed for high performance Julia programs automatically compile to efficient native code via LLVM, and support multiple platforms Julia is dynamically typed, feels like a scripting language, and has good support for interactive use, but can also optionally be separately compiled
- Julia - Wikipedia
Julia (given name), including a list of people with the name Julia (surname), including a list of people with the name Julia gens, a patrician family of Ancient Rome Julia (clairvoyant) (fl 1689), lady's maid of Queen Christina of Sweden in Rome, alleged clairvoyant and predictor
- GitHub - JuliaLang julia: The Julia Programming Language
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
- Homepage | JuliaAcademy
Install Julia and get started learning! We're excited to be your gateway into machine learning ML is a rapidly growing field that's buzzing with opportunity The definitive source for learning all things Julia, for free!
- The Julia Programming Language: Uses, Benefits, and Careers
Julia is an open-source project known for its high performance and ability to generate highly efficient code at speeds approaching those of languages like C and Fortran A dynamic language, Julia is relatively easy for programmers to learn and adapt
- Installing Julia
juliaup is the recommended way to install Julia It automatically installs the latest stable julia binary and helps keep it up to date It also supports installing and using different versions of Julia simultaneously To install different Julia versions, see juliaup --help
- Julia Documentation · The Julia Language
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 (programming language) - Wikipedia
As a high-level language, distinctive aspects of Julia's design include a type system with parametric polymorphism, the use of multiple dispatch as a core programming paradigm, just-in-time compilation and a parallel garbage collection implementation
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