MyBaseDockerFile

FROM python:3.7

USER root

RUN pip3 install jupyter
RUN pip3 install jupyterlab
RUN pip3 install pandas
RUN pip3 install matplotlib
RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
RUN pip3 install opencv-python

# Instructions:
# $ docker build --file MyBaseDockerFile .
# $ docker image ls
# --tty:
#         This option allocates a pseudo-TTY (terminal) for
#         the container. This allows you to interact with the
#         container in a terminal-like interface. Run a container
#         with no options and by default you have a stdout stream
#         (so docker run | <cmd> works); run with -i, and you get
#         stdin stream added (so <cmd> | docker run -i works);
#         use -t, usually in the combination -it and you have a
#         terminal driver added, which if you are interacting with
#         the process is likely what you want. It basically makes
#         the container start look like a terminal connection session.
# --detach:
#         This option runs the container in the background and
#         detaches it from the terminal. This allows you to run
#         the container without having to keep the terminal window
#         open.
# --interactive:
#         This option keeps the container's stdin open, which allows
#         you to attach to the container and interact with it.
# --publish=8888:8888:
#         This option exposes a port on the host machine and maps it
#         to a port on the container. In this case, it exposes port
#         8888 on the host machine and maps it to port 8888 on the
#         container. This allows you to access the container's services
#         through the host machine's port 8888.
# $ docker container run --publish=8888:8888 --publish=8080:8080 --tty --detach --interactive --volume ${PWD}/volume:/test {IMAGE}
# $ docker container ls
# $ docker exec -it {CONTAINER} /bin/bash

# Then inside the docker container run:
# $ jupyter notebook --allow-root --ip=0.0.0.0
# $ jupyter lab --allow-root --ip=0.0.0.0

# Few more checks:
# !jupyter --version