anchor.diff:  COPY jupyter_notebook_config.py /home/$NB_USER/.jupyter/
   RUN chown -R $NB_USER:users /home/$NB_USER/.jupyter
   
  +# Add any extra requirements. Done at end to avoid cache busting.
   ADD requirements.txt requirements.txt
   RUN pip install -r requirements.txt
   RUN wget https://github.com/matplotlib/basemap/archive/v1.0.7rel.tar.gz
   RUN pip install v1.0.7rel.tar.gz
   RUN rm v1.0.7rel.tar.gz
   
  +ADD ../rstudio/install_packages.R install_packages.R
  +RUN /usr/bin/Rscript install_packages.R; rm install_packages.R
  +
   EXPOSE 8888
   USER $NB_USER
  
positive.code: RUN pip --no-cache-dir install 'jupyterhub==0.5'
  
  USER root
  
  # Configure container startup as root
  EXPOSE 8888
  
negative.code: # Stick with jpeg 8 to avoid problems with R packages
  RUN echo "jpeg 8*" >> /opt/conda/conda-meta/pinned
  
  # Install Python 3 packages
  # Remove pyqt and qt pulled in for matplotlib since we're only ever going to
  # use notebook-friendly backends in these images
  RUN conda install --quiet --yes \
      'ipywidgets=5.1*' \
      'pandas=0.18*' \
      'numexpr=2.5*' \
      'matplotlib=1.5*' \
      'scipy=0.17*' \
      'seaborn=0.7*' \
      'scikit-learn=0.17*' \
      'scikit-image=0.11*' \
      'sympy=1.0*' \
      'cython=0.23*' \
      'patsy=0.4*' \
      'statsmodels=0.6*' \
      'cloudpickle=0.1*' \
      'dill=0.2*' \
      'numba=0.23*' \
      'bokeh=0.11*' \
      'h5py=2.5*' && \
      conda remove --quiet --yes --force qt pyqt && \
      conda clean -tipsy
  # Activate ipywidgets extension in the environment that runs the notebook server
  RUN jupyter nbextension enable --py widgetsnbextension --sys-prefix
  
  # Install Python 2 packages
  # Remove pyqt and qt pulled in for matplotlib since we're only ever going to
  # use notebook-friendly backends in these images
  RUN conda create --quiet --yes -p $CONDA_DIR/envs/python2 python=2.7 \
      'ipython=4.2*' \
      'ipywidgets=5.1*' \
      'pandas=0.18*' \
      'numexpr=2.5*' \
      'matplotlib=1.5*' \
      'scipy=0.17*' \
      'seaborn=0.7*' \
      'scikit-learn=0.17*' \
      'scikit-image=0.11*' \
      'sympy=1.0*' \
      'cython=0.23*' \
      'patsy=0.4*' \
      'statsmodels=0.6*' \
      'cloudpickle=0.1*' \
      'dill=0.2*' \
      'numba=0.23*' \
      'bokeh=0.11*' \
      'h5py=2.5*' \
      'pyzmq' && \
      conda remove -n python2 --quiet --yes --force qt pyqt && \
      conda clean -tipsy
  # Add shortcuts to distinguish pip for python2 and python3 envs
  RUN ln -s $CONDA_DIR/envs/python2/bin/pip $CONDA_DIR/bin/pip2 && \
      ln -s $CONDA_DIR/bin/pip $CONDA_DIR/bin/pip3
  
  # Configure ipython kernel to use matplotlib inline backend by default
  RUN mkdir -p $HOME/.ipython/profile_default/startup
  COPY mplimporthook.py $HOME/.ipython/profile_default/startup/
  
  # Install Jupyter notebook as NB_USER
  RUN conda install --quiet --yes \
      'notebook=4.2*' \
  