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# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
FROM base-notebook
MAINTAINER Jupyter Project <[email protected]>
USER root
# libav-tools for matplotlib anim
RUN apt-get update && \
apt-get install -y --no-install-recommends libav-tools && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
USER $NB_USER
# 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 \
'nomkl' \
'ipywidgets=6.0*' \
'pandas=0.19*' \
'numexpr=2.6*' \
'matplotlib=2.0*' \
'scipy=0.19*' \
'seaborn=0.7*' \
'scikit-learn=0.18*' \
'scikit-image=0.12*' \
'sympy=1.0*' \
'cython=0.25*' \
'patsy=0.4*' \
'statsmodels=0.8*' \
'cloudpickle=0.2*' \
'dill=0.2*' \
'numba=0.31*' \
'bokeh=0.12*' \
'sqlalchemy=1.1*' \
'hdf5=1.8.17' \
'h5py=2.6*' \
'vincent=0.4.*' \
'beautifulsoup4=4.5.*' \
'xlrd' && \
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 \
'nomkl' \
'ipython=5.3*' \
'ipywidgets=6.0*' \
'pandas=0.19*' \
'numexpr=2.6*' \
'matplotlib=2.0*' \
'scipy=0.19*' \
'seaborn=0.7*' \
'scikit-learn=0.18*' \
'scikit-image=0.12*' \
'sympy=1.0*' \
'cython=0.25*' \
'patsy=0.4*' \
'statsmodels=0.8*' \
'cloudpickle=0.2*' \
'dill=0.2*' \
'numba=0.31*' \
'bokeh=0.12*' \
'hdf5=1.8.17' \
'h5py=2.6*' \
'sqlalchemy=1.1*' \
'pyzmq' \
'vincent=0.4.*' \
'beautifulsoup4=4.5.*' \
'xlrd' && \
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 $CONDA_DIR/bin/pip3
# Import matplotlib the first time to build the font cache.
ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
RUN MPLBACKEND=Agg $CONDA_DIR/envs/python2/bin/python -c "import matplotlib.pyplot"
# 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/
COPY Notebooks $HOME/work
RUN mkdir $HOME/.jupyter
RUN mkdir $HOME/.jupyter/custom
COPY custom.js $HOME/.jupyter/custom
USER root
RUN /bin/chown -R $NB_USER:users $HOME/.jupyter
RUN /bin/chown -R $NB_USER:users $HOME/work
# Install Python 2 kernel spec globally to avoid permission problems when NB_UID
# switching at runtime and to allow the notebook server running out of the root
# environment to find it. Also, activate the python2 environment upon kernel
# launch.
RUN pip install kernda --no-cache && \
$CONDA_DIR/envs/python2/bin/python -m ipykernel install && \
kernda -o -y /usr/local/share/jupyter/kernels/python2/kernel.json && \
pip uninstall kernda -y
USER $NB_USER