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

Product
Teradata Vantage Modules for Jupyter
Release Number
3.4
Published
October 2022
Language
English (United States)
Last Update
2022-10-27
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nuw1535116212598.ditamap
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dita:id
B700-4010
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 teradatajupyterlabext

    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.