Providing the Dockerfiles so it is possible to run Jupyter Notebooks in a container environment on your RPi3/ARM32. The style of the Dockerfile is the same as Jupyter provide the original ones. They do not support ARM32 architecture with their images, so I decided to create my own.
Contains just basic depedencies for running jupyter notebooks without the data science stack. Based on python:slim-buster@sha256:f2615c63a0aa41d635f69fedec0152ae76ba7b254b005c159245293eb707ad0c and prepared environment to install the data science stack manually.
- default notbooksdir
/root/notebooks - default port
8888 - listen to ip addresses
* - running as user
root
lweiss89/jupyter-base-notebook
Status: released
https://hub.docker.com/repository/docker/lweiss89/jupyter-base-notebook
Contains the most relevant dependencies of the data science stack for running Jupyter Notebooks and is based on base notebook
- scipy
- numpy
- pandas
- matplotlib
- scikit-learn
lweiss89/jupyter-scipy-notebook
Status: not released
- Build images on RPi3 and release them to
Docker Hub - Support Jupyter Lab (argument based)
- Edit user handling so that Jupyter is not running as root
- Specify dependency versions so it will be stable