This image contains Jupyter and Julia language kernel based on a fork of IJulia. It uses phusion/baseimage as a base image.
Currently two Julia packages are customized:
- ivant/IJulia.jl, which fixes package build to make it put the kernel
spec to
.local/share/jupyter/kernels
. - ivant/Bokeh.jl, which fixes some compilation issue (probably due to changes in type inference engine).
Run the container:
docker run -d -p 8888:8888 b.gcr.io/ivant-docker-images/juputer-ijulia
and open localhost:8888 in your browser.
Note: Jupyter in this image is not password protected, nor does it use https, and anyone can access the notebook UI.
-
Due to ongoing changes in package precompilation, many packages fail to load, see issue 12508 of JuliaLang/julia repo. A workaround is to add
VERSION >= v"0.4.0-dev+6641" && __precompile__(true)
statement at the beginning of a
Foo.jl
file for each packageFoo
that does not already forbid precompilation using__precompile__(false)
.This workaround is automatically applied during Docker build as a short-term solution for the preinstalled packages.
Should you need to fix the packages you have installed, run the following in your IJulia session:
run(`/root/fix_package_precompilation.sh`)