Small Discussion About Julia Language?

Question

What is Julia Language?
Julia is a high-level, high-performance dynamic programming language for numerical computing. 

It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. 
Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source 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 Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.

Julia programs are organized around multiple dispatch; by defining functions and overloading them for different combinations of argument types, which can also be user-defined.

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-compiled languages like C
• Built-in package manager
• Lisp-like macros and other metaprogramming facilities
• Call Python functions: use the PyCall package
• Call C functions directly: no wrappers or special APIs
• Powerful shell-like capabilities for managing other processes
• Designed for parallelism and distributed computation
• 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
• MIT licensed: free and open source

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