anchor.diff:  RUN gem update --system --no-document && \
       gem install --no-document sciruby-full
   
  -# Spark dependencies
  -ENV APACHE_SPARK_VERSION 1.4.1
  -RUN apt-get update && \
  -    apt-get install -y --no-install-recommends openjdk-7-jre-headless && \
  -    apt-get clean
  -RUN wget -qO - http://d3kbcqa49mib13.cloudfront.net/spark-${APACHE_SPARK_VERSION}-bin-hadoop2.6.tgz | tar -xz -C /usr/local/ && \
  -    cd /usr/local && \
  -    ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop2.6 spark
  -
  -# Scala Spark kernel (build and cleanup)
  -RUN cd /tmp && \
  -    echo deb http://dl.bintray.com/sbt/debian / > /etc/apt/sources.list.d/sbt.list && \
  -    apt-get update && \
  -    git clone https://github.com/ibm-et/spark-kernel.git && \
  -    apt-get install -yq --force-yes --no-install-recommends sbt && \
  -    cd spark-kernel && \
  -    git checkout 9db161f8667a3f148cd5d811be044db137db13c9 && \
  -    sbt compile -Xms1024M \
  -        -Xmx2048M \
  -        -Xss1M \
  -        -XX:+CMSClassUnloadingEnabled \
  -        -XX:MaxPermSize=1024M && \
  -    sbt pack && \
  -    mv kernel/target/pack /opt/sparkkernel && \
  -    chmod +x /opt/sparkkernel && \
  -    rm -rf ~/.ivy2 && \
  -    rm -rf ~/.sbt && \
  -    rm -rf /tmp/spark-kernel && \
  -    apt-get remove -y sbt && \
  -    apt-get clean
  -
   # Now switch to jovyan for all conda and other package manager installs
   USER jovyan
   
   ENV PATH /home/jovyan/.cabal/bin:/opt/cabal/1.22/bin:/opt/ghc/7.8.4/bin:/opt/happy/1.19.4/bin:/opt/alex/3.1.3/bin:$PATH
  -ENV SPARK_HOME /usr/local/spark
  -ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.8.2.1-src.zip
  -
  -# Python packages
  -RUN conda install --yes numpy pandas scikit-learn scikit-image matplotlib scipy seaborn sympy cython patsy statsmodels cloudpickle dill numba bokeh beautifulsoup4 && conda clean -yt
  -
  -# Now for a python2 environment
  -RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 ipykernel numpy pandas scikit-learn scikit-image matplotlib scipy seaborn sympy cython patsy statsmodels cloudpickle dill numba bokeh && conda clean -yt
  -RUN $CONDA_DIR/envs/python2/bin/python \
  -    $CONDA_DIR/envs/python2/bin/ipython \
  -    kernel install --user
   
   # IRuby
   RUN iruby register
  -
  -# R packages
  -RUN conda config --add channels r
  -RUN conda install --yes r-irkernel r-plyr r-devtools r-rcurl r-dplyr r-ggplot2 r-caret rpy2 r-tidyr r-shiny r-rmarkdown r-forecast r-stringr r-rsqlite r-reshape2 r-nycflights13 r-randomforest && conda clean -yt
  -
  -# IJulia and Julia packages
  -RUN julia -e 'Pkg.add("IJulia")'
  -RUN julia -e 'Pkg.add("Gadfly")' && julia -e 'Pkg.add("RDatasets")'
   
   # IHaskell + IHaskell-Widgets + Dependencies for examples
   RUN cabal update && \
  
positive.code: COPY notebooks/ /home/jovyan/work/
  COPY datasets/ /home/jovyan/work/datasets/
  
  # Add Scala kernel spec
  RUN mkdir -p /opt/conda/share/jupyter/kernels/scala
  COPY resources/kernel.json /opt/conda/share/jupyter/kernels/scala/
  
  # Switch back to root for permission fixes, conversions, and trust. Make sure
  # trust is done as jovyan so that the signing secret winds up in the jovyan
  # profile, not root's
  
negative.code: # Docker demo image, as used on try.jupyter.org and tmpnb.org
  
  FROM jupyter/all-spark-notebook:a249876881d3
  
  MAINTAINER Jupyter Project <jupyter@googlegroups.com>
  
  # Install system libraries first as root
  USER root
  
  # The Glorious Glasgow Haskell Compiler
  RUN apt-get update && \
  