# A nifty trick to run Julia in Kaggle

**URL:** <https://discourse.julialang.org/t/a-nifty-trick-to-run-julia-in-kaggle/43664>\
**Category:** Tooling\
**Tags:** kaggle\
**Created:** [July 25, 2020, 12:44pm UTC](https://discourse.julialang.org/t/a-nifty-trick-to-run-julia-in-kaggle/43664 "2020-07-25T12:44:16Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![themadprogramer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/themadprogramer/32/14086_2.png) [@themadprogramer](https://discourse.julialang.org/u/themadprogramer)\
**Post date:** [July 25, 2020, 12:44pm UTC](https://discourse.julialang.org/t/a-nifty-trick-to-run-julia-in-kaggle/43664/1 "2020-07-25T12:44:16Z")

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So I have been waiting for native support on Kaggle for Julia, as of many of you here for a few months now.

Although there actually is, a _hacky_ way to use Julia on Kaggle. With some python magic and environment shenanigans, someone recently made a working notebook:

[https://www.kaggle.com/marketneutral/julia-live-on-kaggle](https://www.kaggle.com/marketneutral/julia-live-on-kaggle)

 ![image](https://global.discourse-cdn.com/julialang/original/3X/a/8/a80a8836722cc0127274db5024919de49fe9b6fe.png)
