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what is julia

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Dec 29, 2018 am 09:18 AM

julia

##1: What is julia?

Julia is a high-performance dynamic high-level programming language for scientific computing. Its syntax is similar to other scientific computing languages. In many cases it has performance comparable to compiled languages. Julia is a flexible, dynamic language suitable for scientific and numerical computing, with performance comparable to traditional statically typed languages.

Two: julia version

A group of Matlab advanced users with rich programming experience in various languages are dissatisfied with the existing scientific computing programming tools - these software Be great in your area of expertise, but terrible in other areas. What they want is an open source software that is as fast as C and as dynamic as Ruby; has true homoiconicity like Lisp and familiar mathematical notation like Matlab; It is as versatile as Python, as handy in statistical analysis as R, as natural as Perl in processing strings, as powerful in linear algebra as Matlab, and as glue-like as a shell. It is easy to learn without being a real hacker. Feeling bored; also, it should be interactive and compiled at the same time...

The project started around mid-2009 and is currently (February 2012) progressing from the release of version 1.0 to 90%. You can download and try it out on the source code homepage.

v0.1.0 14 Feb 2012

v0.2.0 19 Nov 2013

v0.3.0 21 Aug 2014

v0.4.0 8 Oct 2015

v0.5.0 20 Sep 2016

v0.6.0 19 Jun 2017

v1.0.0 8 Aug 2018

Three: julia’s functions

Mainly used for numerical calculations

Four: Features of julia

Free and open source

The core language is very small. The standard library is written in the Julia language itself and calls many other mature high-performance basic codes. Such as linear algebra, random number generation, fast Fourier transform, string processing. (Still adding...)

Rich type syntax for creating or describing objects

High performance, close to static compiled language. Including user-defined types, etc.

Designed for parallel computing and distributed computing

Lightweight "green" coroutine

Elegant scalable type conversion/promotion

Supports Unicode, including but not limited to UTF-8

Can directly call C functions (no need for packaging or special API)

Has shell-like process management Capabilities

Have Lisp-like macros and other metaprogramming tools

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