If your users need some packages or notebooks that are not bundled in the Teradata Jupyter Docker image, we recommend that you use Teradata image as a base image and build a new one on top of it.
Here is an example Dockerfile that builds on top of Teradata image and adds additional packages and notebooks. Use the Dockerfile to build a new Docker image, push the image to a designated registry, modify override file as shown above to use the new image as singleuser image, apply the changes to the cluster as described above. Replace REGISTRY_URL and VERSION with appropriate values:
FROM REGISTRY_URL/teradatajupyterlabext_VERSION:latest
# install additional packages
RUN pip install --no-cache-dir astropy
# copy notebooks
COPY notebooks/. /tmp/JupyterLabRoot/DemoNotebooks/