teradata/regulus-jupyter repository overview

⁠Teradata AI Unlimited workspaces (technical preview)

Teradata AI Unlimited (technical preview) extensions for Jupyter builds on top of the jupyter/datascience-notebook Docker image. It bundles the Teradata SQL kernel, Teradata Python and R libraries and drivers and Teradata extensions for Jupyter to make you productive while interacting with a Teradata AI Unlimited database. The image also contains sample notebooks that demonstrate how to use Teradata AI Unlimited commands, the Teradata SQL kernel, extensions and Teradata libraries.

For detailed documentation, please see here: PENDING⁠

⁠How to use this image

⁠Start a container and persist user data on a docker-managed volume

docker volume create workspaces
docker run \
  -e "accept_license=Y" \
  -p 127.0.0.1:8888:8888 \
  -v /path/to/my/directory:/home/jovyan/JupyterLabRoot \
  teradata/ai-unlimited-workspaces:latest

⁠Start a container and bind to an existing directory:

docker run \
  -e "accept_license=Y" \
  -p 127.0.0.1:8888:8888 \
  -v /path/to/my/directory:/home/jovyan/JupyterLabRoot \
  teradata/ai-unlimited-jupyter:latest

⁠This container can be run with teradata/regulus-workspaces via docker compose, see PENDING⁠ for details.

⁠Support

PENDING⁠

⁠License

By passing the value Y to the environment variable accept_license, you are expressing that you have a valid and existing license for the edition and version of Teradata Jupyter extensions that you intend to use. You also agree that your use of Teradata Jupyter extensions running in a Docker container image will be governed by the terms of the license. Teradata Jupyter extensions License Agreement is located here: https://github.com/Teradata/jupyterextensions/blob/master/licensefiles/license.txt⁠.