On April 14, I’ll be teaching a new 4‑hour live workshop for O’Reilly: Building Data Apps with Streamlit and Copilot.
If you work in Python and want to turn your analyses into interactive, shareable tools, this workshop is designed for you. We’ll start from a Jupyter notebook and build a complete Streamlit app that lets users explore a dataset through interactive controls, charts, and maps. Along the way, we’ll use Copilot to speed up development and discover Streamlit features more efficiently.
What we’ll cover
- Structuring a Streamlit app
- Working with user input (select boxes, filters, etc.)
- Creating interactive graphics with Plotly
- Organizing the UI with columns and tabs
- Deploying your app to Streamlit Cloud
The workshop is hands‑on: you’ll build the app step‑by‑step, and by the end you’ll have a working project you can adapt to your own data.
What You’ll Build
Here’s a screenshot from the app we’ll build together:
The app lets users choose a state and demographic statistic, explore how it changes over time, and view the data as a chart, map, or table.
And while the example uses demographic data, the skills you’ll learn—structuring an app, building interactive controls, and creating dynamic visualizations—apply to any Streamlit project you want to build.
Who is this for?
- Data scientists and analysts who want to make their work more interactive
- Python users who want to build dashboards without learning web development
- Anyone curious about Streamlit or Copilot
If you’re interested, I’d love to have you join. Registration is open now.
