Transferring data files using JupyterLab

Transferring data files using JupyterLab


This tutorial will demonstrate use of Jupyter Lab for file transfer.  Files can be read/write to the operating system disks or the Denvr Storage platforms using the /data/ filesystem.

Launch Jupyter application

For additional documentation on how to launch an Application please refer to Running your first application.  Select Jupyter Lab, or another of the ML SDKs that includes Jupyter pre-installed:

Open the JupyterLab webpage

Click the 'Application Access' button from the application summary page.  Select the URL to open a new browser window:

The initial login page requires you to enter your JupyterLab secret token:

JupyterLab provides a web drag-and-drop interface to upload files, or use the buttons to upload files from your desktop.

Accessing storage volumes

Storage volumes are automatically available in JupyterLab.
  1. $HOME/personal (archive storage, restricted access to your user only)
  2. $HOME/shared (archive storage, shared for all users in your tenant only
  3. $HOME/scratch (local attached storage)
  4. $HOME/PDV-NAME (high performance persistent volumes)

These volumes are also available if you change to the /data/ directory.

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