Julia

Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science. Distinctive aspects of Julia's design include a type system with parametric polymorphism and the use of multiple dispatch as a core programming paradigm, efficient garbage collection, and a just-in-time (JIT) compiler (with support for ahead-of-time compilation). Julia can be run similar to (interpreted) scripting languages, and does by default with its runtime preinstalled, but source code can also be (separately) compiled optionally for standalone binary executables. Doing such can support all features bundling the runtime (or allows for limited tiny executables or libraries made including for use by other languages such as Python). Such compilation is not needed for speed, but can help with hiding source code. Julia's Visual Studio Code extension provides a fully-featured integrated development environment with support for debugging, linting, and profiling. History Work on Julia began in 2009, when Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman set out to create a free language that was both high-level and fast. On 14 February 2012, the team launched a website with a blog post explaining the language's mission. In an interview with InfoWorld in April 2012, Karpinski said of the name "Julia": "There's no good reason, really. It just seemed like a pretty name." Bezanson said he chose the name on the recommendation of a friend, then years later wrote: