Build Python Web Apps with Streamlit

Get the eBook free when you register your print book at Manning.You just built something amazing in Python and youre ready to share it with the world! But does shipping it to the web meanlearning JavaScript? With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. Youll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. Youll also learn from intentional mistakes and real-world debugging challenges that teach you how Streamlit actually works. As you go, each project helps you master software engineering skills you might not have learned as a Python programmergathering requirements, persistence and database integration, user authentication, deployment, and troubleshooting. Build interactive web apps without HTML/CSS/JavaScript Understand Streamlits execution model Work with databases and persistent data Create and deploy production-grade architectures Implement user authentication and authorization Build AI-powered applications with LLMs Develop dashboards, and visualizations Implement security best practices About the technology With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. About the book Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. Youll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. As you go, youll practice debugging, deployment, database integration and other software engineering skills. What's inside Understand Streamlits execution model Work with databases and persistent data Implement user authentication and authorization Build AI-powered applications About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer at OpenAI, with prior experience at Stripe and Google. He has designed and built systems ranging from online transactional services to data pipelines and business intelligence tools. Table of Contents Part 1 1 Introduction to Streamlit 2 Getting started with Streamlit 3 Taking an app from concept to code 4 Streamlits execution model 5 Sharing your apps with the world Part 2 6 A dashboard fit for a CEO 7 The CEO strikes back: Supercharging the dashboard 8 Building a CRUD app with Streamlit Part 3 9 Creating an AI-powered application 10 RAG and agentic apps with LangGraph and Streamlit Part 4 11 Testing Streamlit apps 12 Packaging and deploying Streamlit apps Appendixes A Installing Python and Streamlit