{"product_id":"build-python-web-apps-with-streamlit","title":"Build Python Web Apps with Streamlit","description":"\u003cp\u003e\u003cb\u003eGet the eBook free when you register your print book at Manning.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eYou 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.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBuild Python Web Apps with Streamlit\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e• Build interactive web apps without HTML\/CSS\/JavaScript\u003cbr\u003e• Understand Streamlit’s execution model\u003cbr\u003e• Work with databases and persistent data\u003cbr\u003e• Create and deploy production-grade architectures\u003cbr\u003e• Implement user authentication and authorization\u003cbr\u003e• Build AI-powered applications with LLMs\u003cbr\u003e• Develop dashboards, and visualizations\u003cbr\u003e• Implement security best practices\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWith 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBuild Python Web Apps with Streamlit\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e• Understand Streamlit’s execution model\u003cbr\u003e• Work with databases and persistent data\u003cbr\u003e• Implement user authentication and authorization\u003cbr\u003e• Build AI-powered applications\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFor Python programmers. No web app or AI skills required.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAneev Kochakadan\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePart 1\u003cbr\u003e1 Introduction to Streamlit\u003cbr\u003e2 Getting started with Streamlit\u003cbr\u003e3 Taking an app from concept to code\u003cbr\u003e4 Streamlit’s execution model\u003cbr\u003e5 Sharing your apps with the world\u003cbr\u003ePart 2\u003cbr\u003e6 A dashboard fit for a CEO\u003cbr\u003e7 The CEO strikes back: Supercharging the dashboard\u003cbr\u003e8 Building a CRUD app with Streamlit\u003cbr\u003ePart 3\u003cbr\u003e9 Creating an AI-powered application\u003cbr\u003e10 RAG and agentic apps with LangGraph and Streamlit\u003cbr\u003ePart 4\u003cbr\u003e11 Testing Streamlit apps\u003cbr\u003e12 Packaging and deploying Streamlit apps\u003cbr\u003eAppendixes\u003cbr\u003eA Installing Python and Streamlit\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEbook License\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant Of License\u003c\/p\u003e\u003cp\u003eManning Has Authorized The Download By You Of An Unrestricted Number Of Copies Of The Electronic Book (Ebook) In Any Of The Available Formats. Manning Grants You A Nonexclusive, Nontransferable License To Use The Ebook According To The Terms And Conditions Herein. This License Agreement Permits You To Install The Ebook On Any And All Your Devices For Your Personal Use Only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou Shall Not: (1) Share, Resell, Rent, Assign, Timeshare, Distribute, Or Transfer All Or Part Of The Ebook Or Any Rights Granted Hereunder To Any Other Person; (2) Duplicate The Ebook, Except For A Single Backup Or Archival Copy; (3) Remove Any Proprietary Notices, Labels, Or Marks From The Ebook; (4) Transfer Or Sublicense Title To The Ebook To Any Other Party.\u003c\/p\u003e\u003cp\u003e3. 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