Build amazing web apps with Streamlit and Python!
The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. Build Python Web Apps with Streamlit lays out everything you need to quickly transform your app ideas into fully-fledged web applications using nothing but Python and your imagination.
In Build Python Web Apps with Streamlit you'll learn how to:
• Write web apps in pure Python
• Prototype ideas into proof-of-concept in minutes
• Build awesome front ends for AI apps and data visualizations
• Deploy Streamlit apps in a variety of environments
There’s no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard.
About the book
Build Python Web Apps with Streamlit teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you’ll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You’ll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step.
About the reader
For Python programmers. No web app or AI skills required.
About the author
Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
PART 1: HITTING THE GROUND RUNNING
1 INTRODUCTION TO STREAMLIT
2 GETTING STARTED WITH STREAMLIT
3 TAKING AN APP FROM CONCEPT TO CODE
4 STREAMLIT'S EXECUTION MODEL
5 SHARING YOUR APPS WITH THE WORLD
PART 2: DIVING INTO REAL STREAMLIT DATA APPS
6 A DASHBOARD FIT FOR A CEO
7 THE CEO STRIKES BACK: SUPERCHARGING OUR DASHBOARD
8 BUILDING A CRUD APP WITH STREAMLIT
PART 3: STREAMLIT AND LLMS
9 CREATING AN AI-POWERED APPLICATION
10 RAG AND AGENTIC APPS WITH LANGGRAPH AND STREAMLIT
PART 4: TESTING AND DEPLOYING STREAMLIT APPS
11 TESTING STREAMLIT APPS
12 PACKAGING AND DEPLOYING STREAMLIT APPS
APPENDIX
APPENDIX A: INSTALLING PYTHON AND STREAMLIT
Aneev Kochakadan is a seasoned software engineer known for turning complex data systems into elegant user experiences. With years at Google, Stripe, and multiple startup prototypes, Aneev brings approachable rigor to every page. He distills real-world engineering lessons into clear guidance that lets readers ship apps that matter.
