Light JupyterLab with Python3 example

1. Build image docker build --tag=jupyter_light_workshop .

2. Run image docker run -ti -p 8888:8888 -v "`pwd`":/data jupyter_light_workshop.

   Note: you need to run the image in the directory you want JupyterLab to access.

   Running the image will open a terminal window in the container, where you will be acting as root.

3. Access /data directory cd data. This directory has mounted the wanted directory from the host.

4. Run JupyterLab within the container /usr/local/bin/jupyter lab --port=8888 --ip=0.0.0.0 --no-browser --allow-root --LabApp.token=''

5. From host computer, via a browser window access JupyterLab on address localhost:8888. There you can test the kernel, for example, by running test.ipynb

6. You can also access the container on a different terminal with docker exec -it <CONTAINER_ID> bash and see processes running docker ps -A to identify the different processes.