# 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:** 83

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**Author:** ![GregVernon](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gregvernon/32/5611_2.png) [@GregVernon](https://discourse.julialang.org/u/GregVernon)\
**Post date:** [January 28, 2020, 4:44am UTC](https://discourse.julialang.org/t/in-as-few-lines-as-possible-describe-why-you-love-julia/33179/83 "2020-01-28T04:44:11Z")

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I was a convert when I rewrote a code that I had originally developed in Matlab. The code I’d written was intended to improve a commercial software I use at work that was painfully slow and completely manual. Thanks to writing the algorithm myself in Matlab I was able to improve the performance significantly and was automated. I rewrote the code in Julia and due to a number of things I was able to cut my LOC by ~20x, reduce required memory by orders of magnitude, and get a sizeable speedup.

[I posed the basics of the problem](https://discourse.julialang.org/t/multiply-many-matrices-by-many-vectors/18542) to the Julia discourse and received great feedback from the community.

Here’s a graphic I made for management shortly after my Julia rewrite. All told ~20,000 faster than the commercial code for a big-small (10k cells) problem and it made large problems (1M cells) tractable.

![image](https://global.discourse-cdn.com/julialang/original/3X/2/3/233c772817e8be1f507e00078c014471649a5f41.png)

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