mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-12 20:42:57 +00:00
105 lines
3.1 KiB
Docker
105 lines
3.1 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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FROM jupyter/minimal-notebook
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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USER root
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# libav-tools for matplotlib anim
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RUN apt-get update && \
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apt-get install -y --no-install-recommends libav-tools && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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USER $NB_USER
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# Install Python 3 packages
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# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
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# use notebook-friendly backends in these images
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RUN conda install --quiet --yes \
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'nomkl' \
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'ipywidgets=6.0*' \
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'pandas=0.19*' \
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'numexpr=2.6*' \
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'matplotlib=2.0*' \
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'scipy=0.19*' \
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'seaborn=0.7*' \
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'scikit-learn=0.18*' \
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'scikit-image=0.12*' \
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'sympy=1.0*' \
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'cython=0.25*' \
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'patsy=0.4*' \
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'statsmodels=0.8*' \
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'cloudpickle=0.2*' \
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'dill=0.2*' \
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'numba=0.31*' \
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'bokeh=0.12*' \
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'sqlalchemy=1.1*' \
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'hdf5=1.8.17' \
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'h5py=2.6*' \
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'vincent=0.4.*' \
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'beautifulsoup4=4.5.*' \
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'xlrd' && \
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conda remove --quiet --yes --force qt pyqt && \
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conda clean -tipsy
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# Activate ipywidgets extension in the environment that runs the notebook server
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RUN jupyter nbextension enable --py widgetsnbextension --sys-prefix
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# Install Python 2 packages
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# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
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# use notebook-friendly backends in these images
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RUN conda create --quiet --yes -p $CONDA_DIR/envs/python2 python=2.7 \
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'nomkl' \
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'ipython=5.3*' \
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'ipywidgets=6.0*' \
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'pandas=0.19*' \
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'numexpr=2.6*' \
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'matplotlib=2.0*' \
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'scipy=0.19*' \
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'seaborn=0.7*' \
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'scikit-learn=0.18*' \
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'scikit-image=0.12*' \
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'sympy=1.0*' \
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'cython=0.25*' \
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'patsy=0.4*' \
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'statsmodels=0.8*' \
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'cloudpickle=0.2*' \
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'dill=0.2*' \
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'numba=0.31*' \
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'bokeh=0.12*' \
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'hdf5=1.8.17' \
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'h5py=2.6*' \
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'sqlalchemy=1.1*' \
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'pyzmq' \
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'vincent=0.4.*' \
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'beautifulsoup4=4.5.*' \
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'xlrd' && \
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conda remove -n python2 --quiet --yes --force qt pyqt && \
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conda clean -tipsy
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# Add shortcuts to distinguish pip for python2 and python3 envs
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RUN ln -s $CONDA_DIR/envs/python2/bin/pip $CONDA_DIR/bin/pip2 && \
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ln -s $CONDA_DIR/bin/pip $CONDA_DIR/bin/pip3
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# Import matplotlib the first time to build the font cache.
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ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
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RUN MPLBACKEND=Agg $CONDA_DIR/envs/python2/bin/python -c "import matplotlib.pyplot"
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# Configure ipython kernel to use matplotlib inline backend by default
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RUN mkdir -p $HOME/.ipython/profile_default/startup
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COPY mplimporthook.py $HOME/.ipython/profile_default/startup/
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USER root
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# Install Python 2 kernel spec globally to avoid permission problems when NB_UID
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# switching at runtime and to allow the notebook server running out of the root
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# environment to find it. Also, activate the python2 environment upon kernel
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# launch.
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RUN pip install kernda --no-cache && \
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$CONDA_DIR/envs/python2/bin/python -m ipykernel install && \
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kernda -o -y /usr/local/share/jupyter/kernels/python2/kernel.json && \
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pip uninstall kernda -y
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USER $NB_USER
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