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
Powered by GitBook
On this page
  • Running Code inside a Code Cell
  • ​Various Options provided to a Code 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 Code Cell

Write & Run Code in a Notebook.

PreviousNotebook CellsNextUsing a Markdown Cell

Last updated 1 year ago

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 Data Science Notebook.

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

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

Running Code inside a Code Cell

  • Create a new Notebook and open it.

  • A cell to write and execute code gets added 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 user can use the Datasets tab to get an added data set to the code cell.

  • 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.

  • The code result gets displayed below it.

  • 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.

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

​Various Options provided to a Code Cell

By clicking on an inserted Code cell, some code related options get displayed as shown in the below-given image:

Sl. No.
Icon
Name
Action

1

Move the cell up

Moves the cell upwards

2

Move the cell down

Moves the cell downwards

3

Delete Cell

Deletes the code cell.

Please Note: Refer the page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow
Running a Code cell with a code
Accessing a Code cell within the Notebook interface
Using Run cell icon after inserting relevant code in the Code cell