How to Create Interactive Dashboards in Python

Build Beautiful Data Viz and Reports with Dash and Plotly

Photo by Stephen Dawson on Unsplash

Sharing insights from data analysis usually means cluttered Jupyter notebooks or stale grid-style reports. What if you could create elegant, interactive dashboards straight from Python instead?

The Dash framework makes it delightfully simple to build web-based analytic apps and dashboards with pure Python. No front-end experience needed!

In this hands-on tutorial, you’ll learn:

• Dash fundamentals and basic components
• Binding interactive components to Python
• Visualizing data with Plotly graphs
• Styling dashboards with custom CSS
• Deploying finished apps to production

Let’s dive in to transform your notebooks into production-ready dashboards!

Introducing Dash — A Framework for Python Analytics Apps

Dash abstracts away all HTML, CSS, and JavaScript required for building web interfaces and handles it dynamically from Python instead.

This lets data scientists and analysts focus exclusively on Python-based visualization and design.