Create

Harness the full power of popular Data Science libraries

The Notebook tab lets the user write and execute code. The user can harness the full power of popular python libraries to analyze and visualize data.

The users get two options to start with their data science exploration:

1. By Creating a new Notebook ​

2. By Importing a Notebook​

Check out a look at the walk-through to create a new Notebook.

Creating a new Notebook

Create a New Notebook

• Select an activated Project from the Project list.

Selecting an Activated Project from the Project List

• The user gets into the selected Project.

• Click the Create option.

The Create option for Notebook creation

• A new Notebook gets created under the selected Project.

• The same gets informed to the users by a notification message.

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

• The newly created Notebook gets saved in the left side panel.

Notification messages after a Notebook gets created

Add a New Notebook

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.

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