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Harness the full power of popular Data Science libraries

The Notebook infrastructure 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 the given illustration on how to cerate a new Notebook inside a DSL Project.

Creating a Notebook

Creating a New Notebook​

  • Navigate to the Project list page.

  • Select an activated project.

  • Click the project.

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

  • The Notebook tab opens by default.

  • Click the Create option from the Notebook tab.

Please Note: The Create option gets enabled only if the Project status is Active as mentioned in the above given image.

  • The Create Notebook page opens.

  • Provide the following information to create a new Notebook:

    • Notebook Name

    • Description

  • Click the Save option.

  • The Notebook gets created with the given name and the Notebook page opens. The Notebook may take a few seconds to save and start the Kernel.

  • The user will get notification messages to ensure that the new Notebook has been saved and it has been started.

  • The same gets notified on the Notebook header (as highlighted in the given image).

  • Now, the newly created Notebook is ready for the user to commence Data Science experiments. The newly created Notebook gets listed on the left side of the Notebook page.

Adding a New Notebook

The users also get an Add option to create a new Notebook. This option gets available to the users only after they have created at least one Notebook using the Create option and opened it.

  • Open an existing Notebook from a Project.

  • The Add icon appears on the header next to the opened Notebook name. Click the Add icon.

  • The Create Notebook window opens.

  • Provide the Notebook Name and Description.

  • Click the Save option.

  • A new Notebook gets created and the user will be redirected to the interphase of the newly created Notebook.

  • Soon the notification messages assuring the user that the newly created Notebook has been saved and stared appear on the screen.

  • The Notebook gets listed under the Notebook list provided on the left side of the screen.

  • A code cell gets added by default to the newly created Notebook for the user to begin the data science experiment.

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.

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

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

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