Build jupyter lab image
At first we create a custom jupyter lab docker image. Create a file called Dockerfile and add the following content:
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FROM python:3.8
EXPOSE 8888
RUN pip install --no-cache-dir jupyterlab \
&& useradd -ms /bin/bash lab
USER lab
WORKDIR /home/lab
CMD jupyter lab --ip=0.0.0.0
Now using this Dockerfile we build an image with sudo docker build -t jupyter-lab .
Run Image
You can start a jupyter lab instance with sudo docker run -it --name lab -p 8888:8888 -v "/change/local/path:/home/lab" jupyter-lab to which you can normally connect. This will start a container named lab, exposes jupyter lab to your host and mounts /change/local/path. If you want to automatically remove the container after stopping you can additionally add --rm to the command.
When you stopped the container and did not removed it you can restart it with sudo docker start lab -i.
Run /bin/bash
In a second terminal you can connect to the running container with sudo docker exec -it lab /bin/bash. This allows you to run aditional commands like pip install tensorflow.