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Home > Computing and Information Technology Books > Computer programming / software engineering > Web programming > Build Python Web Apps with Streamlit: AI and Data Applications in Minutes
Build Python Web Apps with Streamlit: AI and Data Applications in Minutes

Build Python Web Apps with Streamlit: AI and Data Applications in Minutes


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About the Book

Turn scripts into shareable apps—no HTML, no waiting. If you have ever wished your Python experiments could instantly become interactive tools, this book shows you how. Build, demo, and deploy before the coffee cools, using a workflow designed for speed and simplicity. 

  • Pure-Python workflow: stay productive in the language you already love. 
  • Ready-made widgets: add forms, charts, and media with one-line commands, saving hours. 
  • Hands-on progression: nine projects grow from password checker to LLM-powered knowledge base. 
  • Deployment playbook: push to Streamlit Cloud, containers, or on-prem servers with confidence. 
  • AI integration patterns: wrap models and chatbots in friendly UIs users actually enjoy. 

Streamlit in Action by software engineer Aneev Kochakadan delivers a practical, code-first path to modern web interfaces. The book makes Streamlit’s power accessible without front-end complexity. Starting with a simple to-do list, each chapter layers new Streamlit skills, culminating in an executive dashboard and an AI chatbot. 

Clear explanations, bite-size examples, and test-as-you-read checkpoints make learning feel effortless. By the final project you will ship polished apps, impress stakeholders, and iterate ideas in hours—not weeks. Your Python skills now reach real users through the browser. 

Ideal for Python developers, data scientists, and tinkerers who need results fast without front-end pain.



Table of Contents:

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 



About the Author :

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.


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Product Details
  • ISBN-13: 9781633436015
  • Publisher: Manning Publications
  • Publisher Imprint: Manning Publications
  • Language: English
  • Returnable: Y
  • Weight: 662 gr
  • ISBN-10: 1633436012
  • Publisher Date: 22 Jun 2026
  • Binding: Hardback
  • No of Pages: 480
  • Sub Title: AI and Data Applications in Minutes


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