This third edition of .NET MAUI Projects explores the features of .NET MAUI, a lightweight multi-platform development toolkit for building apps with a rich user interface. Updated to cover the latest features of .NET MAUI, including CollectionView and Shell, this book delves into concepts such as machine learning and cloud services.
Starting with an overview of .NET Core and how it works, this book shares tips for choosing the right development environment for planning multi-platform apps. You'll then build your first .NET MAUI app and advance to learning how to use Shell to implement app architecture. Progressing in complexity, the projects guide you through creating apps, ranging from a location tracker and weather map to machine learning and multiplayer games. Further, the book will take you through modern mobile development frameworks such as SQLite, .NET Core, and ML.NET, empowering you to customize your apps for Windows, macOS, Android, and iOS platforms for native-like performance. Engaging examples are woven throughout the book so you can grasp essential concepts by writing code rather than extensive theory.
By the end of this book, you'll be ready to develop your own native apps using .NET MAUI and associated technologies such as .NET Core, Visual Studio 2022, and C#.

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Spis treści

.NET MAUI Projects. Build multi-platform desktop and mobile apps from scratch using C# and Visual Studio 2022 - Third Edition eBook -- spis treści

• 1. Introduction to .NET MAUI
• 2. Building Our First .NET MAUI App
• 3. Converting a Xamarin.Forms App to .NET MAUI
• 4. Building a News App Using .NET MAUI Shell
• 5. Building a Matchmaking App with a Rich UX Using Animations
• 6. Building a Photo Gallery App Using CollectionView and CarouselView
• 7. Building a Location Tracking App Using GPS and Maps
• 8. Building a Weather App for Multiple Form Factors
• 9. Setting Up a Backend for Sticks and Squares Using Azure Services
• 10. Building a Real-Time Game
• 11. Building a Calculator Using .NET MAUI Blazor
• 12. Hot Dog or Not Hot Dog Using Machine Learning