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Enhance your Jupyter Notebook with interactive widgets and layouts using Panel. Panel makes it easy to build dynamic interfaces directly in your notebook, turning static analyses into interactive explorations.

Table of Contents

Prerequisites

  • Jupyter Notebook (or JupyterLab)
  • Python 3.7+
  • Panel library
If you haven’t installed Panel yet, run:

Step 1: Install and Enable Panel

Start your notebook and enable Panel’s extension:

Step 2: Import Panel and Define Widgets

Create a text input and a button. The text input will display the click count.

Step 3: Create an Event Handler

Define a callback function to update the text input whenever the button is clicked:

Step 4: Display Widgets in a Layout

Arrange the button and text input side by side using pn.Row:
After running the cell above, you’ll see:
  • A Click me button
  • A text box initially showing Ready
Each click updates the text box to reflect the total number of clicks, demonstrating a simple interactive interface.

Widget Reference Table

Additional Resources

Build on this pattern to create dashboards, data explorers, and more within your Jupyter environment!

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