# In as few lines as possible describe why you love julia

**URL:** <https://discourse.julialang.org/t/in-as-few-lines-as-possible-describe-why-you-love-julia/33179>\
**Category:** New to Julia\
**Created:** [January 10, 2020, 2:07am UTC](https://discourse.julialang.org/t/in-as-few-lines-as-possible-describe-why-you-love-julia/33179 "2020-01-10T02:07:29Z")\
**Posts on this page:** 1\
**Showing post:** 24

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**Author:** ![bashonubuntu](https://avatars.discourse-cdn.com/v4/letter/b/f19dbf/32.png) [@bashonubuntu](https://discourse.julialang.org/u/bashonubuntu)\
**Post date:** [January 10, 2020, 4:25pm UTC](https://discourse.julialang.org/t/in-as-few-lines-as-possible-describe-why-you-love-julia/33179/24 "2020-01-10T16:25:12Z")

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Personally, I had little experience in serious programming prior to Julia. I had used R/MATLAB/Python heavily but I never really felt I had a deeper understanding of what’s under the hood and thought all this is too hard for the uninitiated. 9 months into Julia, I can talk about and answer questions on parametric types, multiple dispatch, inplace operations and how to debug inefficiently written code (and, even have little intuitive understanding of what native code _might_ look like for something I am coding). I think the ability for a newbie to pickup and become decent at Julia in a short span of time is an underrated aspect of the programming language. The other great aspect is that there are only a few tricks you need to master to go from beginner to being good at Julia: avoid non-constant globals, focus on inplace operations, write for-loops and try best to minimize type-instabilities. Just these few things will make your code speed up relative to most languages and you’ll begin to appreciate how good of a language Julia really is!

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