Build Python Web Apps with Streamlit

Build web apps in Python, fast

Build Python Web Apps with Streamlit is a practical Manning title for Python developers who want to turn ideas into browser-based applications without getting bogged down in the usual frontend stack. The book’s focus is clear from the start: Streamlit for data apps, AI-assisted tools, dashboards, and lightweight internal products that can be built and iterated quickly.

Learn the Streamlit workflow

The opening chapters walk through Streamlit’s core model and the development rhythm that makes it so approachable. You’ll see how to get started, build a first app, and think through the difference between a concept and something ready to share. That makes the book especially useful for readers who already know Python and want a direct path into web app creation.

From simple apps to richer interfaces

As the contents progress, the book moves from introductory material into more substantial projects: dashboards, CRUD applications, and app structure that scales beyond a quick prototype. It then extends into AI-powered applications, RAG, and agentic workflows with LangGraph, showing how Streamlit can serve as a front end for modern data and AI projects.

Testing and deployment matter too

The later sections cover testing, packaging, and deployment, which gives the book a welcome practical edge. Rather than stopping at a demo, it helps readers think about what it takes to share an app with others and keep it working reliably.

Who will get the most from it?

• Python developers exploring web app development
• Data professionals building dashboards and internal tools
• Readers interested in AI and LLM-powered interfaces
• Anyone who wants to build useful apps quickly with Streamlit

This is a hands-on guide with a strong builder’s mindset: concise, applied, and focused on getting real projects into the browser.