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* Always remain as root during install * Put kernel specs in system path, not user home * Create user work directory at startup * Note this is in 4.0 and up images, not 3.2 Contribution (c) Copyright IBM Corp. 2015
48 lines
1.1 KiB
Docker
48 lines
1.1 KiB
Docker
# Copyright (c) Jupyter Development Team.
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FROM jupyter/minimal-notebook
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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# Install Python 3 packages
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RUN conda install --yes \
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'ipywidgets=4.0*' \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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'scikit-image=0.11*' \
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'sympy=0.7*' \
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'cython=0.22*' \
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'patsy=0.3*' \
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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=0.20*' \
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'bokeh=0.9*' \
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&& conda clean -yt
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# Install Python 2 packages and kernel spec
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RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 \
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'ipython=4.0*' \
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'ipywidgets=4.0*' \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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'scikit-image=0.11*' \
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'sympy=0.7*' \
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'cython=0.22*' \
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'patsy=0.3*' \
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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=0.20*' \
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'bokeh=0.9*' \
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pyzmq \
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&& conda clean -yt
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RUN $CONDA_DIR/envs/python2/bin/python \
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$CONDA_DIR/envs/python2/bin/ipython \
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kernelspec install-self
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