Dockerfile

FROM rapidsai/rapidsai:cuda9.2-runtime-ubuntu16.04

SHELL ["/bin/bash", "-c"]
RUN source activate rapids && conda install -y \
        matplotlib \
        scikit-learn \
        seaborn \
        python-louvain \
        jinja2 \
        && pip install graphistry mockito

RUN source activate rapids && conda install -c \
        nvidia/label/cuda10.0 -c rapidsai/label/cuda10.0 -c numba -c conda-forge -c defaults cugraph

RUN apt update &&\
    apt install -y graphviz &&\
    source activate rapids && pip install graphviz

# ToDo: let user supply kaggle creds
RUN source activate rapids && pip install kaggle

WORKDIR /rapids/notebooks/extended

# Add everthing from the local build context (incuding the data folder)
ADD . .

# move /rapids/notebooks/extended/data to /data, then symlink
# so users can browse the data directory inside JupyterLab
RUN mv data /data && ln -s /data /rapids/notebooks/extended/data

CMD source activate rapids && sh /rapids/notebooks/utils/start-jupyter.sh