Julia programming language

[Julia](https://julialang.org/) is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. The library, largely written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.

## Features

- Multiple dispatch: providing ability to define function behavior across many combinations of argument types

- Dynamic type system: types for documentation, optimization, and dispatch

- Good performance, approaching that of statically-typed languages like C

- A built-in package manager

- Lisp-like macros and other metaprogramming facilities

- Call Python functions: use the PyCall package[a]

- Call C functions directly: no wrappers or special APIs

- Powerful shell-like abilities to manage other processes

- Designed for parallel and distributed computing

- Coroutines: lightweight green threading

- User-defined types are as fast and compact as built-ins

- Automatic generation of efficient, specialized code for different argument types

- Elegant and extensible conversions and promotions for numeric and other types

- Efficient support for Unicode, including but not limited to UTF-8.