Last Updated on July 11, 2021
Julia is a high-level, high-performance, open source, flexible, dynamic programming language for technical computing. It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. Julia’s hash syntax is familiar to users of other technical computing environments especially MATLAB.
Julia offers 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.
Additionally, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager. Julia programs are organized around defining functions, and overloading them for different combinations of argument types (which can also be user-defined).
- Syntax layer.
- Symbolic language and corresponding data structures for representing certain kinds of types.
- Implementation of generic functions and dynamic multiple dispatch.
- Compiler intrinsic functions for accessing the object model.
- Compiler intrinsic functions for native arithmetic, bit string operations, and calling native (C or Fortran) functions.
- mechanism for binding top-level names.
- High-level, Python-like syntax.
- Dynamic types (with type hinting).
- Expressive – a rich language of types for constructing and describing objects.
- Fast – approaches the speed of statically-compiled languages like C.
- Optional typing.
- User-defined types are as fast and compact as built-ins.
- Define function behavior across many combinations of argument types via multiple dispatch.
- Lightweight “green” threading (coroutines).
- Efficient support for Unicode, including but not limited to UTF-8.
- Call C functions directly (no wrappers or special APIs needed).
- Powerful shell-like capabilities for managing other processes.
- Lisp-like macros and other metaprogramming facilities.
- Good range of libraries for common scientific and engineering computing tasks.
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