Julia 1.0.0 => 1.1.0

This is the latest stable release of Julia.

I also cleaned up the package operations and added `QuantEcon/InstantiateFromURL.jl`, which is a small utility for binding Julia dependency information to a Jupyter notebook.

Builds fine on my local machine.

datascience-notebook/Dockerfile

@@ -24,12 +24,12 @@ RUN apt-get update && \
 # install Julia packages in /opt/julia instead of $HOME
 ENV JULIA_DEPOT_PATH=/opt/julia
 ENV JULIA_PKGDIR=/opt/julia
-ENV JULIA_VERSION=1.0.0
+ENV JULIA_VERSION=1.1.0
 
 RUN mkdir /opt/julia-${JULIA_VERSION} && \
     cd /tmp && \
     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 "bea4570d7358016d8ed29d2c15787dbefaea3e746c570763e7ad6040f17831f3 *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
+    echo "80cfd013e526b5145ec3254920afd89bb459f1db7a2a3f21849125af20c05471 *julia-${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
@@ -79,11 +79,7 @@ RUN conda install --quiet --yes \
 # 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 'import Pkg; Pkg.add("Gadfly")' && \
-    julia -e 'import Pkg; Pkg.add("RDatasets")' && \
-    julia -e 'import Pkg; Pkg.add("IJulia")' && \
-    # Precompile Julia packages \
-    julia -e 'using IJulia' && \
+    julia -e "using Pkg; pkg\"add Gadfly RDatasets IJulia InstantiateFromURL\"; 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 && \