copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
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 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 Language Introduction - GeeksforGeeks Julia is a dynamic, high-performance programming language that is used to perform operations in scientific computing Similar to R Programming Language, Julia is used for statistical computations and data analysis
Download Julia The official website for the Julia Language Julia is a language that is fast, dynamic, easy to use, and open source Click here to learn more
Getting Started · The Julia Language 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:
Tutorials - Julia From zero to Julia! by Aurelio Amerio An expanding series of short tutorials about Julia, starting from the beginner level and going up to deal with the more advanced topics
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
Julia (programming language) - Wikipedia Julia is a dynamic general-purpose programming language 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 (JIT) compilation and a parallel garbage collection implementation