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
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Cells

Using a Code Cell

Write & Run Code in a Notebook.

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Last updated 2 years ago

Check out the given walk-through on how to use a Code Cell under a Notebook.

You can write and execute code using the Notebook interface. This section covers the steps to write and run a sample code in the Code cell of the BDB DSL Notebook.

Please Note: A Code cell gets added by default while creating a new Notebook.

  • Create a new Notebook and open it.

  • A cell to write and execute code opens under the selected Notebook by default.

  • Write code inside the cell.

  • Click the Run cell icon to run the code.

Please Note: The Code cells also get code from the selected Notebook operations by using the right-side panel and selecting a specific option. E.g., the following image displays how the code for an available Dataset gets inserted while selecting the dataset.

  • The Run cell button gets changed into the Interrupt cell icon while running the code.

  • Another code cell gets added below (as shown in the following image).

  • Once the code has run successfully a checkmark appears below the Run cell icon.

  • Click the Save icon provided for the Notebook.

  • A notification message appears to indicate the completion of the action.

  • The Notebook status gets changed as saved and the new updates get saved in it.

Please Note:

  • The +Code and +Markdown options provided at the bottom of a cell inserts a new cell after the given code/ Markdown cell.

  • While the Code and Markdown options provided under the Code section of the Task Bar adds a new cell before the given code/Markdown cell.

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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.

Click here
Using a code cell under a Notebook
By default a Code gets added to a new Notebook
Use the Code cell to write a code
While running the first cell one more cell gets added
When code gets run successfully
Saving a Notebook
For a saved Notebook Status gets changed as Saved