# Why is Python, not Julia, still used for most state-of-the-art AI research?

**URL:** <https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896>\
**Category:** Offtopic\
**Tags:** knet, flux, machine-learning, mlj, sciml\
**Created:** [September 1, 2020, 1:49pm UTC](https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896 "2020-09-01T13:49:21Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![anon37204545](https://avatars.discourse-cdn.com/v4/letter/a/439d5e/32.png) [@anon37204545](https://discourse.julialang.org/u/anon37204545)\
**Post date:** [September 1, 2020, 1:59pm UTC](https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896/3 "2020-09-01T13:59:08Z")

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From a thread about CSV:

> [@CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974/54):
>
> 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).

> [@CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R](https://discourse.julialang.org/t/csv-reader-benchmarks-julia-reads-csvs-10-20x-faster-than-python-and-r/41974/61):
>
> 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.

It seems it’s common that in order to get a paper more valued, you have to use the current standard language of the field (i.e. Python).

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