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Build Python Web Apps with Streamlit: AI and data applications in minutes
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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
Artikal br.: 221509036

Build Python Web Apps with Streamlit: AI and data applications in minutes

Artikal br.: 221509036

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  • Get the eBook free when you register your print book at Manning.You just built something amazing in Python and you’re ready to share it with the world! But does shipping it to the web mean…learning JavaScript? With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript.Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. You’ll also learn from intentional mistakes and real-world debugging challenges that teach you how Streamlit actually works. As you go, each project helps you master software engineering skills you might not have learned as a Python programmer—gathering requirements, persistence and database integration, user authentication, deployment, and troubleshooting.• Build interactive web apps without HTML/CSS/JavaScript• Understand Streamlit’s execution model• Work with databases and persistent data• Create and deploy production-grade architectures• Implement user authentication and authorization• Build AI-powered applications with LLMs• Develop dashboards, and visualizations• Implement security best practicesAbout the technologyWith the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript.About the bookBuild Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. As you go, you’ll practice debugging, deployment, database integration and other software engineering skills.What's inside• Understand Streamlit’s execution model• Work with databases and persistent data• Implement user authentication and authorization• Build AI-powered applicationsAbout the readerFor Python programmers. No web app or AI skills required.About the authorAneev Kochakadan is a software engineer at OpenAI, with prior experience at Stripe and Google. He has designed and built systems ranging from online transactional services to data pipelines and business intelligence tools.Table of ContentsPart 11 Introduction to Streamlit2 Getting started with Streamlit3 Taking an app from concept to code4 Streamlit’s execution model5 Sharing your apps with the worldPart 26 A dashboard fit for a CEO7 The CEO strikes back: Supercharging the dashboard8 Building a CRUD app with StreamlitPart 39 Creating an AI-powered application10 RAG and agentic apps with LangGraph and StreamlitPart 411 Testing Streamlit apps12 Packaging and deploying Streamlit appsAppendixesA Installing Python and Streamlit
Publisher Manning Publications
Publication date June 9, 2026
Language English
Print length 480 pages
ISBN-10 1633436012
ISBN-13 978-1633436015
Item Weight 1.06 pounds (480 grams)
Dimensions 7.38 x 1.09 x 9.25 inches (18.7 x 2.8 x 23.5 cm)

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