# \[201908\] Compiling a Data Science Image for Julia on Windows to combat compilation latency

**URL:** <https://discourse.julialang.org/t/201908-compiling-a-data-science-image-for-julia-on-windows-to-combat-compilation-latency/27640>\
**Category:** General Usage\
**Created:** [August 17, 2019, 1:09am UTC](https://discourse.julialang.org/t/201908-compiling-a-data-science-image-for-julia-on-windows-to-combat-compilation-latency/27640 "2019-08-17T01:09:00Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![fabgrei](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/fabgrei/32/4214_2.png) [@fabgrei](https://discourse.julialang.org/u/fabgrei)\
**Post date:** [August 24, 2019, 11:39am UTC](https://discourse.julialang.org/t/201908-compiling-a-data-science-image-for-julia-on-windows-to-combat-compilation-latency/27640/7 "2019-08-24T11:39:20Z")

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you linked to old images (for julia 1.0). The newer images (julia 1.2) use #notomls. See a recent nextjournal post here. Sorry for the missing link. I am on my phone.

EDIT:  
recent discourse post: [Julia 1.2 in Nextjournal](https://discourse.julialang.org/t/julia-1-2-in-nextjournal/27801)  
current images: [https://nextjournal.com/julia](https://nextjournal.com/julia)

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