Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Data Science Lab Quick Start Flow
  • Project
    • Environments
    • Creating a Project
    • Project List
      • View
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
              • Pull from Git
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Utility
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Artifacts
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
          • Pull from Git (Utility)
        • Model
          • Model Explainer
          • Import Model
          • Export to GIT
          • Register a Model
          • Unregister A Model
          • Register a Model as an API Service
            • Register a Model as an API
            • Register an API Client
            • Pass Model Values in Postman
          • AutoML Models
        • Auto ML
          • Creating AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                    • Forecasting Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Utility
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT (on hold)
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
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On this page
  • Creating a New Notebook​
  • Adding a New Notebook
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Notebook
  5. Ways to Access Notebook

Create

Harness the full power of popular Data Science libraries

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Last updated 1 year ago

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 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 page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow
Creating a Notebook
Accessing an Active Project
Create Option for the new Notebook Creation
The Create Notebook page
Notebook Page for the new Notebook that is getting created.
Notification messages for a new Notebook
Add icon provided for a Notebook
Create Notebook Drawer