Building Data Apps with Streamlit - Create Dynamic Dashboards Machine Learning Workflows and AI Chatbots with Streamlit and Python
Siddhant Sadangi
Maison d'édition: Orange Education Pvt Ltd
Synopsis
Turn Python Scripts into Interactive AI-Powered Apps with StreamlitBook DescriptionStreamlit 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 cloudTable of Contents1. Introduction to Streamlit2. Setting Up the Development Environment3. Creating and Deploying Your First Streamlit App4. Exploring Streamlit’s Flow and Architecture5. Persisting Data and State Across App Reruns6. Exploring Streamlit’s Page Elements7. Widget Keys and Callbacks8. Introduction to Streamlit Caching and Connections9. Managing Secrets in Streamlit10. Advanced App Management Concepts11. App Configuration Options12. Building Multipage Streamlit Apps13. Testing Streamlit Apps14. Building a Data Analysis Streamlit App15. Building a Machine Learning Streamlit App16. Building a Chatbot on Streamlit Index
Disponible depuis: 13/01/2026.
Longueur d'impression: 334 pages.
