Importing a Notebook

Bring your PySpark script to the Notebook framework to carry forward your Data Science experiment.

Please Note: The downloaded Notebooks in the .ipynb file format only are supported by the Upload Notebook option.

Check out the given walk-through on how to import a Notebook.

Importing a Notebook to DS Lab Project

The users can seamlessly import Notebooks created using other tools and saved in their systems.

• Select an activated Project.

• The user gets into the selected Project.

• Click the Import option.

The Import option provided for Notebook

• The Import Notebook page opens.

• Select Import Notebook option by using the given checkbox.

• Provide the following information:

  • Notebook Name

  • Description

• Click the Choose File option.

• Select and upload an ipynb file from the system.

• Once the file gets uploaded, click the Save option.

• A a new notebook gets started with the given name.

• The same gets confirmed by a notification message.

• Another notification message appears to ensure that the Notebook has been imported.

• The imported Notebook gets saved by default, and it is suggested by a notification message.

• The imported Notebook gets listed in the left side panel.

Please Note:

• Edit the Notebook name by using the Edit icon.

• While clicking the Back icon, the Exit Page dialog box appears to ensure that the Notebook is saved. Select the Yes option to go back to the Project List page.

• The added description appears below the created Notebook in the left side panel.

• If the users try to import a notebook file with some other extension (other than .ipynb), then an error message appears to inform them about the supported format.

• Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell.