Building Data Apps with Streamlit

Key Features
● Build complete Streamlit apps from data exploration to deployment
● Integrate ML models and AI chatbots into interactive Python apps
● Master caching, state management, cloud deployment, and multipage architecture
Book Description
Streamlit has transformed how developers present data science and machine-learning work by making it effortless to turn Python scripts into interactive web applications. Building Data Apps with Streamlit provides a complete, hands-on roadmap to creating professional, production-ready apps using Streamlit's fast, intuitive, and Pythonic framework.
You begin with Streamlit's architecture, layout system, and component ecosystem, learning how to build clean, scalable apps with widgets, callbacks, caching, and session state. The book then guides you through handling secrets, managing configurations, working with APIs and databases, and building multipage workflows that feel polished and responsive.
By the end, you will build a full Streamlit solution that analyzes datasets, trains machine-learning models, and powers an AI chatbot using Google Gemini. With dedicated chapters on testing, optimization, and cloud deployment, this book equips you with the confidence and skills to create, iterate, and share high-quality Streamlit applications that bring your data and ideas to life.
What you will learn
● Build interactive data apps using Streamlit's core components
● Manage session state, caching, themes, and configurations effectively
● Connect apps to APIs, databases, and cloud services
● Integrate machine-learning workflows into Streamlit interfaces
● Create and deploy an AI chatbot using Google Gemini
● Test, deploy, and maintain Streamlit apps on the cloud
Who is this book for?
This book is exclusively designed for data scientists, analysts, and Python developers who want to transform their work into interactive applications without learning traditional web frameworks. A basic understanding of Python and data manipulation with Pandas is recommended, but no prior web development experience is required.This book is exclusively designed for data scientists, analysts, and Python developers who want to transform their work into interactive applications without learning traditional web frameworks. A basic understanding of Python and data manipulation with Pandas is recommended, but no prior web development experience is required.

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