Dockerfile builds image from tensorflow official image to use with Jupyter notebook, adding packages to use in #MIT6.S191 and in #AI4EM_MOOC

Dockerfile

FROM tensorflow/tensorflow:latest-jupyter
RUN echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selections
RUN apt-get -y update
RUN apt-get install dialog apt-utils -y && apt-get install libgl1-mesa-glx -y && apt-get install libproj-dev -y && apt-get install libgdal-dev -y && apt-get install abcmidi timidity -y && apt-get install graphviz -y && apt-get install python3-gdal -y
RUN useradd -m -u 1000 diago
USER diago
ENV PATH="/home/diago/.local/bin:${PATH}"
RUN pip install --upgrade pip
RUN pip install --upgrade tensorflow-cpu tensorflow-estimator tensorflow_probability
RUN pip install --upgrade nbformat && pip install opencv-python && pip install mitdeeplearning
RUN pip install easydict && pip install ipyplot && pip install scikit-image && pip install pandas && pip install seaborn && pip install scikit-learn && pip install pydot && pip install xmltodict && pip install lightgbm
RUN pip install cartopy==0.18.0 && pip install xarray && pip install netCDF4 && pip install rasterio
RUN pip install gcsfs pyhdf satpy torch visdom
RUN pip install git+https://github.com/spaceml-org/ml4floods/#egg=ml4floods
CMD ["bash", "-c", "source /etc/bash.bashrc && jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser"]