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
      • 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
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Applying Filter
              • Predict
              • Artifacts
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing 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
        • 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 Experiments
            • Accessing the Create Experiment Option
              • Configure
              • Select Experiment Type
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
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On this page
  • Inserting a Markdown Cell
  • Editing a Markdown Cell
  • Deleting a Markdown Cell
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for PySpark Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Cells

Using a Markdown Cell

This page describes steps to use the text cells of the Notebook.

PreviousUsing a Code CellNextModifying a Notebook

Last updated 2 years ago

The Markdown cells are used to enter a description for the Notebook. They are formatted using a simple markup language called Markdown. The Markdown cell contains a toolbar to assist with editing.

Inserting a Markdown Cell

  • Click the +Markdown option.

  • The Markdown cell appears below to insert Markdown to the Notebook.

  • Choose an action from the toolbar.

  • It gets added to the left side of the Markdown cell.

  • The right-side Markdown space displays the text with the applied effect.

Markdown text when an action is applied
  • The below-given image displays some actions from the toolbar (such as Bold, Italic, Heading, Reference) applied to the Markdown text.

  • Click the Save option.

  • The Markdown cell with inserted effect gets saved and the Markdown display gets changed displaying the text with saved effects on the left side (as shown in the given image).

  • The user can click the Save option provided for the Notebook to save the update in the Notebook (after the Markdown cell has been added to it).

  • The Notebook gets updated and the same gets communicated through a notification message.

Editing a Markdown Cell

  • Use the double clicks on a saved Markdown cell.

  • The Markdown cell opens in the editable format to edit it.

  • Click the Save option to update the edited Markdown in the Notebook.

Deleting a Markdown Cell

  • Click the Delete Cell icon for a saved Markdown cell.

  • The Delete Cell dialog box opens.

  • Click the Yes option.

  • The selected Markdown gets removed and the same gets communicated by a notification message.

Saved Markdown cell
Saving the Notebook
Notification message after the Notebook gets saved
Double Clicks on the Markdown cell
Save the Markdown updates
The Delete Cell icon for the Markdown cell

​

The Markdown cell gets deleted

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

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