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Today I am going to explain You What is Julia Programming Language.What are its features.What are editors in which You implement Julia Programming Language.
Today I am going to explain You What is Julia Programming Language.What are its features.What are editors in which You implement Julia Programming Language.
So lets start.......
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Introduction:-
- Julia is a Dynamic and High level Programming Language.
- Julia was designed for Numerical Analysis , Data Science and Computational Science.
- Julia was designed by Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B.Shah.
- Julia was appeared in 2012 .
- Julia released his first and latest version(1.0.0 and 0.7.0) on 8 August 2018 .
- Julia supports Dynamic ,Nominative, Parametric Typing Discipline.
Download:-
- If You Want to download Julia Programming Language,then you can download by click here.
- Then You will see page like this.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixWlegsGjvI3kLbQM1GNN1SH3355ArfIOUmyQgJOf4mLr3Y8qDRDbk4-LmywGRGaND-np7NDT7OXOyZm4M7gjiAOjl5Mqv211v5EtmWBQ8vWbhGPhFfDt8p321t1bxYpinXFXRwqKfVQs/s640/as.png)
Julia Editors and IDEs:-
1. Juno
2. Julia-VScode
3. Jupyter Kernel
4. Vim
5. Emacs
6. SublimeText
Julia Features:-
- Julia is only Compiled not Interpreted.
- Julia is faster than Interpreted Languages.
- Julia supports Dynamic Typing.
- Dynamic Typing allow the user to declare a variable without defining its type.
- Julia has simple and efficient Syntax.
- Julia supports Meta-programming. User can generate other Julia programs from one Julia program.
- User can easily access external Libraries,which are written in C Programming Language.
- In Julia Programming ,The first element of the array is denoted by index[1] instead of index[0].
- Julia is faster than both Python and R.
- Julia has a math-friendly Syntax.
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