# CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R

**URL:** <https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974>\
**Category:** General Usage\
**Tags:** announcement\
**Created:** [June 24, 2020, 12:12pm UTC](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974 "2020-06-24T12:12:07Z")\
**Posts on this page:** 1\
**Showing post:** 61

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**Author:** ![oxinabox](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/oxinabox/32/206603_2.png) [@oxinabox](https://discourse.julialang.org/u/oxinabox)\
**Post date:** [June 26, 2020, 8:40pm UTC](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974/61 "2020-06-26T20:40:05Z")

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> [@jonniedie](#):
>
> Other than a few missing features, there are projects in both languages that are already there: [python](https://github.com/SciML/diffeqpy), [R](https://github.com/SciML/diffeqr).

> [@Balinus](#):
>
> Probably, I had a good laugh when I saw @ChrisRackauckas in both repos!

My recollection of history there was Chris was trying to publish a paper about DifferentialEquations.jl.  
And it got rejected because _“it is in an obsure language noone will use it”_, and in a weekend of pique, Chris coded up the python and R wrappers.  
So that one reviewer probably did more to advance the cause of DE solving in R and Python than many R or Python programmer working in the area ever have.

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