Start Docker Container for JupyterLab to Bind to an Existing Directory - Starting the Docker Container for JupyterLab to Bind to an Existing Directory - Teradata Vantage Modules for Jupyter

Teradata Vantageā„¢ Modules for Jupyter Installation Guide

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Lake
Product
Teradata Vantage Modules for Jupyter
Release Number
4.0
Published
March 2025
ft:locale
en-US
ft:lastEdition
2025-04-09
dita:mapPath
nuw1535116212598.ditamap
dita:ditavalPath
ft:empty
dita:id
nuw1535116212598
Product Category
Teradata Vantage
This task describes how to start the Docker image to bind to an existing directory on your machine where you may have stored notebooks or files you want to access from the JupyterLab instance running inside the Docker container.
The GettingStarted notebooks and other files provided with this Docker image are hidden by your existing directory.
  1. Start the Docker container:

    docker run -e "accept_license=Y" -p 127.0.0.1:8888:8888 -v /path/to/my/directory:/home/jovyan/JupyterLabRoot <image name>

    To accept the license terms, set the environment variable accept_license to Y.
    You must map your directory to the /home/jovyan/JupyterLabRoot directory that resides inside the Docker image.
    If you are using Windows consult the Docker documentation for directory path limitations or guidance.
    The command window displays the URL and token needed to access JupyterLab from your browser.