# Docker image with compiled packages for instant loading!

**URL:** <https://discourse.julialang.org/t/docker-image-with-compiled-packages-for-instant-loading/32871>\
**Category:** General Usage\
**Created:** [January 2, 2020, 12:36pm UTC](https://discourse.julialang.org/t/docker-image-with-compiled-packages-for-instant-loading/32871 "2020-01-02T12:36:47Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![xiaodai](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/xiaodai/32/15937_2.png) [@xiaodai](https://discourse.julialang.org/u/xiaodai)\
**Post date:** [January 2, 2020, 12:36pm UTC](https://discourse.julialang.org/t/docker-image-with-compiled-packages-for-instant-loading/32871/1 "2020-01-02T12:36:47Z")

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I have been learning docker and made this docker image with Julia installed and many data science packages that I use precompiled for instant loading! Check it out here:

[https://hub.docker.com/r/xiaodaidocker2019/julia-data-science-base](https://hub.docker.com/r/xiaodaidocker2019/julia-data-science-base)

XGBoost.jl doesn’t work and plotting doesn’t work with PackageCompilerX.jl yet.

It would be cool to figure out how to do those and then build another image with Junom Jupyter and Revise.jl for development.