Build Python Web Apps with Streamlit

Build Python Web Apps with Streamlit

by Aneev Kochakadan
Publication Date: 23/02/2026

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  $37.99

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

ISBN:
9781638357865
9781638357865
Category:
Web programming
Publication Date:
23-02-2026
Language:
English
Publisher:
Manning

This item is delivered digitally

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