Creating a Notebook

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 Uploading a Notebook​

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

Creating a new Notebook

• Click the Create Notebook option from the Notebook tab.

The Create Notebook option

• A new Notebook gets created; the user gets a notification message informing the same.

The Notebook landing page

• The user can add or modify the Notebook as displayed below.

• Click the Save option.

• The notification message appears.

• Click the Back icon.

• The Notebook gets saved under the Notebook list.

The List of created Notebooks

Please Note:

• Edit the Notebook name by using the Edit Notebook Name icon.

• The accessible datasets, models, and artifacts will list down under the Datasets, Models, and Artifacts menus (In this case, there are no datasets added to the concerned Notebook.).

• Find/Replace menu facilitates the user to find and replace a specific text in the notebook code.

• Add a description for the created Notebook by using the same page.

Please Note: Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. Click here to get redirected to the quick start flow page.