mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-12 20:42:57 +00:00
83 lines
2.4 KiB
Docker
83 lines
2.4 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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'ipywidgets=5.1*' \
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'pandas=0.18*' \
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'numexpr=2.5*' \
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'matplotlib=1.5*' \
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'scipy=0.17*' \
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'seaborn=0.7*' \
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'scikit-learn=0.17*' \
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'scikit-image=0.11*' \
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'sympy=1.0*' \
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'cython=0.23*' \
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'patsy=0.4*' \
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'statsmodels=0.6*' \
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'cloudpickle=0.1*' \
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'dill=0.2*' \
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'numba=0.23*' \
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'bokeh=0.11*' \
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'h5py=2.5*' && \
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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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'ipython=4.2*' \
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'ipywidgets=5.1*' \
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'pandas=0.18*' \
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'numexpr=2.5*' \
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'matplotlib=1.5*' \
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'scipy=0.17*' \
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'seaborn=0.7*' \
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'scikit-learn=0.17*' \
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'scikit-image=0.11*' \
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'sympy=1.0*' \
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'cython=0.23*' \
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'patsy=0.4*' \
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'statsmodels=0.6*' \
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'cloudpickle=0.1*' \
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'dill=0.2*' \
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'numba=0.23*' \
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'bokeh=0.11*' \
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'h5py=2.5*' \
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'pyzmq' && \
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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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# 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.
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RUN $CONDA_DIR/envs/python2/bin/python -m ipykernel install
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USER $NB_USER
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