Files
docker-stacks/datascience-notebook/Dockerfile
Peter Parente e66ffa3141 Add libav-tools for matplotlib animation
(c) Copyright IBM Corp. 2016
2016-02-26 08:43:01 -05:00

113 lines
2.9 KiB
Docker

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
FROM jupyter/minimal-notebook
MAINTAINER Jupyter Project <jupyter@googlegroups.com>
USER root
# R pre-requisites
RUN apt-get update && \
apt-get install -y --no-install-recommends \
fonts-dejavu \
gfortran \
gcc && apt-get clean
# Julia dependencies
RUN apt-get update && \
apt-get install -y --no-install-recommends \
julia \
libnettle4 && apt-get clean
# libav-tools for matplotlib anim
RUN apt-get update && \
apt-get install -y --no-install-recommends libav-tools && \
apt-get clean
USER jovyan
# Install Python 3 packages
RUN conda install --yes \
'ipywidgets=4.1*' \
'pandas=0.17*' \
'matplotlib=1.5*' \
'scipy=0.17*' \
'seaborn=0.7*' \
'scikit-learn=0.17*' \
'scikit-image=0.11*' \
'sympy=0.7*' \
'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 clean -yt
# Install Python 2 packages
RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 \
'ipython=4.1*' \
'ipywidgets=4.1*' \
'pandas=0.17*' \
'matplotlib=1.5*' \
'scipy=0.17*' \
'seaborn=0.7*' \
'scikit-learn=0.17*' \
'scikit-image=0.11*' \
'sympy=0.7*' \
'cython=0.23*' \
'patsy=0.4*' \
'statsmodels=0.6*' \
'cloudpickle=0.1*' \
'dill=0.2*' \
'numba=0.23*' \
'bokeh=0.11*' \
'h5py=2.5*' \
'pyzmq' \
&& conda clean -yt
# R packages including IRKernel which gets installed globally.
RUN conda config --add channels r
RUN conda install --yes \
'rpy2=2.7*' \
'r-base=3.2*' \
'r-irkernel=0.5*' \
'r-plyr=1.8*' \
'r-devtools=1.9*' \
'r-dplyr=0.4*' \
'r-ggplot2=1.0*' \
'r-tidyr=0.3*' \
'r-shiny=0.12*' \
'r-rmarkdown=0.8*' \
'r-forecast=5.8*' \
'r-stringr=0.6*' \
'r-rsqlite=1.0*' \
'r-reshape2=1.4*' \
'r-nycflights13=0.1*' \
'r-caret=6.0*' \
'r-rcurl=1.95*' \
'r-randomforest=4.6*' && conda clean -yt
# Install IJulia packages as jovyan and then move the kernelspec out
# to the system share location. Avoids problems with runtime UID change not
# taking effect properly on the .local folder in the jovyan home dir.
RUN julia -e 'Pkg.add("IJulia")' && \
mv /home/$NB_USER/.local/share/jupyter/kernels/* $CONDA_DIR/share/jupyter/kernels/ && \
chmod -R go+rx $CONDA_DIR/share/jupyter && \
rm -rf /home/$NB_USER/.local/share
RUN julia -e 'Pkg.add("Gadfly")' && julia -e 'Pkg.add("RDatasets")'
USER root
# Install Python 2 kernel spec globally to avoid permission problems when NB_UID
# switching at runtime.
RUN $CONDA_DIR/envs/python2/bin/python \
$CONDA_DIR/envs/python2/bin/ipython \
kernelspec install-self
# Switch back to jovyan to avoid accidental container runs as root
USER jovyan