teradata/jupyterlab-extensions repository overview

⁠Overview

Teradata Jupyter extensions image 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 Teradata database. The image also contains sample notebooks that demonstrate how to use the SQL kernel, extensions and Teradata libraries.

Note: This Docker image is not FIPS compliant. Running on a FIPS-enabled host is not supported, errors may occur.

For detailed documentation, please see here: https://teradata.github.io/jupyterextensions/⁠

⁠How to use this image

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

docker volume create notebooks
docker run -e "accept_license=Y" \
  -p 127.0.0.1:8888:8888 \
  -v notebooks:/home/jovyan/JupyterLabRoot teradata/jupyterlab-extensions

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/jupyterlab-extensions

IMPORTANT: You must set the environment variable accept_license to Y to accept the license terms.

⁠Support

https://support.teradata.com⁠

⁠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.