Importing a Notebook

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

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

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

Check out the given illustration on how to import a Notebook.

Importing a Notebook

• Navigate to the Project list page.

• Select an activated project.

• Click the project.

Selecting an activated Project

• The user gets redirected to the next page displaying all the related tabs.

• The Notebook tab opens by default.

• Click the Import option from the Notebook tab.

Import option to Import a Notebook

• The Import Notebook page opens.

• Provide the following information.

  • Notebook Name

  • Description (optional)

• Click the Choose File option.

Import Notebook Page

• Select the IPYNB file from the system and upload it.

Uploading an IPYNB file from the system

• The selected file appears next to the Choose File option.

• Click the Save option.

• The Notebook infrastructure opens with the given name for the recently uploaded Notebook file. It may take a few seconds to save the uploaded Notebook and start Kernel for the same.

Notebook Page for the recently uploaded Notebook

• The following consecutive notification messages will appear to ensure the user that the Notebook is saved, uploaded, and started.

• The same is mentioned by the status updates on the Notebook header (as highlighted in the given image).

• The uploaded Notebook gets listed on the left side of the page.

Notebook gets imported under the selected DSL Project

Please Note:

• If the user tries to Upload File with some other extension (other than .ipynb), then the below-given error message appears.

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