jupyter/README.md

@@ -13,22 +13,6 @@ The images these files produce contain everything you could possibly want in a j
 
 To build this image, run `build/build.fish.` Edit the script to customize the image.
 
-## Configuration
-
-Change the permissions on the configuration volume (see `docker-compose.yml`) if you get errors.
-
-You may want to add the following lines to `jupyter_notebook_config.py`:
-
-```
-c.ServerApp.local_hostnames = ["localhost", "0.0.0.0"]
-c.ServerApp.token = "a_long_random_string"
-```
-
-The first sets `0.0.0.0` to the allowed local hostname list. This prevents a possible "connection reset" when connecting to the docker container. Opens jupyter up to the outside internet, but you should have your inbound ports firewalled off anyway.
-
-The second line sets a persistent token. If this config value is unset, jupyter will generate a new one on each run, making it hard to make a one-click bookmark.
-
-
 
 ## Image contents
  - jupyterlab, jupyterhub, notebook
@@ -44,7 +28,6 @@ The second line sets a persistent token. If this config value is unset, jupyter
    - pandas
  - Octave
  - R
- - Julia
 
 
 ## TODO
@@ -55,5 +38,6 @@ The second line sets a persistent token. If this config value is unset, jupyter
  - Haskell ([source](https://github.com/IHaskell/ihaskell-notebook))
  - Rust Kernel
  - C++ Kernel
+ - Julia Kernel
  - Perl Kernel
  - Maxima Kernel

jupyter/build/build.fish

@@ -52,8 +52,6 @@ printf "Done. \n\n"
 
 build_image false octave
 build_image false r
-build_image false julia
-#build_image false haskell (BROKEN)
 #build_image false sage (BROKEN)
 #build_image false selenium (BROKEN)
 

jupyter/build/julia.Dockerfile

@@ -1,46 +0,0 @@
-ARG BASE_CONTAINER=betalupi/jupyter-base
-FROM $BASE_CONTAINER
-LABEL maintainer="Mark <mark@betalupi.com>"
-
-# install Julia packages in /opt/julia instead of $HOME
-ENV JULIA_DEPOT_PATH=/opt/julia
-ENV JULIA_PKGDIR=/opt/julia
-ENV JULIA_VERSION=1.4.1
-
-USER root
-
-WORKDIR /tmp
-RUN mkdir "/opt/julia-${JULIA_VERSION}" && \
-	wget -q https://julialang-s3.julialang.org/bin/linux/x64/$(echo "${JULIA_VERSION}" | cut -d. -f 1,2)"/julia-${JULIA_VERSION}-linux-x86_64.tar.gz" && \
-	echo "fd6d8cadaed678174c3caefb92207a3b0e8da9f926af6703fb4d1e4e4f50610a *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
-	tar xzf "julia-${JULIA_VERSION}-linux-x86_64.tar.gz" -C "/opt/julia-${JULIA_VERSION}" --strip-components=1 && \
-	rm "/tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz"
-RUN ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
-
-# Show Julia where conda libraries are \
-RUN mkdir /etc/julia && \
-	echo "push!(Libdl.DL_LOAD_PATH, \"$CONDA_DIR/lib\")" >> /etc/julia/juliarc.jl && \
-	# Create JULIA_PKGDIR \
-	mkdir "${JULIA_PKGDIR}" && \
-	chown "${NB_USER}" "${JULIA_PKGDIR}" && \
-	fix-permissions "${JULIA_PKGDIR}"
-
-USER $NB_UID
-
-# Add Julia packages. Only add HDF5 if this is not a test-only build since
-# it takes roughly half the entire build time of all of the images on Travis
-# to add this one package and often causes Travis to timeout.
-#
-# Install IJulia as jovyan and then move the kernelspec out
-# to the system share location. Avoids problems with runtime UID change not
-# taking effect properly on the .local folder in the jovyan home dir.
-RUN julia -e 'import Pkg; Pkg.update()' && \
-	(test $TEST_ONLY_BUILD || julia -e 'import Pkg; Pkg.add("HDF5")') && \
-	julia -e "using Pkg; pkg\"add IJulia\"; pkg\"precompile\"" && \
-	# move kernelspec out of home \
-	mv "${HOME}/.local/share/jupyter/kernels/julia"* "${CONDA_DIR}/share/jupyter/kernels/" && \
-	chmod -R go+rx "${CONDA_DIR}/share/jupyter" && \
-	rm -rf "${HOME}/.local" && \
-	fix-permissions "${JULIA_PKGDIR}" "${CONDA_DIR}/share/jupyter"
-
-WORKDIR $HOME