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Build Python Web Apps with Streamlit
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Build Python Web Apps with Streamlit

Book Details

Format Hardback or Cased Book
ISBN-10 1633436012
ISBN-13 9781633436015
Publisher Manning Publications
Imprint Manning Publications
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 29th, 2026
Print length 480 Pages
Weight 864 grams
Dimensions 18.80 x 23.40 x 3.00 cms
Ksh 7,350.00
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The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. 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.

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.


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