Python Day 193: Running Dash in a Jupyter Notebook
25 September 2026·9 min
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Welcome to Day 193 of The Complete Python Bootcamp.
In this session, you will explore how to set up and run Dash within a Jupyter Notebook. This allows you to build, test and experiment with interactive dashboards directly alongside your Python code and data analysis.
Jupyter Notebook is widely used for exploring datasets, testing Python code and developing analytical workflows. Integrating Dash into this environment gives you a convenient way to move from analysing data to creating interactive visualisations without constantly switching between different development tools.
Today, you will learn how to prepare your notebook environment for Dash, configure a basic application and run your dashboard directly as part of your Jupyter workflow.
By the end of this lesson, you will understand how to use Dash within Jupyter Notebook and have a convenient environment for developing, testing and refining interactive data applications.
✅ What You Will Learn
• How Dash can be used within Jupyter Notebook
• How to prepare your notebook environment for Dash development
• How to create a Dash application from a notebook
• How to run and test interactive dashboards
• How Dash integrates with your existing data analysis workflow
• How notebooks can simplify dashboard experimentation and development
🌍 Why This Topic Matters
Running Dash in Jupyter Notebook helps you:
• Analyse data and build dashboards in one environment
• Test dashboard ideas more quickly
• Experiment with interactive visualisations efficiently
• Create a smoother data analysis and development workflow
• Move more easily from exploration to interactive presentation
For data analysts and Python developers, Jupyter Notebook provides an ideal environment for experimentation. Combining it with Dash allows you to explore your data, develop visualisations and test interactive dashboard functionality within the same workflow.
🎯 Who This Lesson Is For
• Beginners learning Dash and Jupyter Notebook
• Python learners interested in interactive dashboard development
• Data analysts working primarily within notebooks
• Anyone wanting a convenient environment for testing Dash applications
• Viewers progressing through the Plotly and Dash section of the Python Bootcamp
🔥 Bring Interactive Dashboards into Your Notebook Workflow
Jupyter Notebook is already a powerful environment for exploring and understanding data. Adding Dash gives you the ability to take that analysis further by turning your results into interactive applications.
By combining these tools, you'll create a more integrated workflow where data analysis, visualisation and dashboard development can happen together in one convenient environment.
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👉 Comment whether you prefer building Dash applications in Jupyter Notebook or a traditional code editor
👉 Share this video with someone learning Python
🔎 Keywords
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