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.NET MAUI Projects - Third Edition - 3rd Edition by Michael Cummings & Daniel Hindrikes & Johan Karlsson (Paperback)

.NET MAUI Projects - Third Edition - 3rd Edition by  Michael Cummings & Daniel Hindrikes & Johan Karlsson (Paperback) - 1 of 1
$51.99 when purchased online
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About this item

Highlights

  • Harness the powerful features of .
  • Author(s): Michael Cummings & Daniel Hindrikes & Johan Karlsson
  • 630 Pages
  • Computers + Internet, Programming Languages

Description



About the Book



Improved and updated to cover the latest features of .NET MAUI, this third edition covers CollectionView and Shell, along concepts like augmented reality, machine learning, and cloud services to help build multi-platform desktop and mobile app



Book Synopsis



Harness the powerful features of .NET MAUI, the evolution of Xamarin.Forms, to create multi-platform app projects using location services, the weather API, machine learning, and much more


Key Features

- Leverage .NET MAUI through real-world projects, from weather apps to real-time multiplayer games with SignalR and Azure Functions

- Explore the essential features of .NET MAUI such as Shell, CollectionView, and CarouselView

- Go beyond the basics with advanced topics like machine learning using TensorFlow and ML.NET

- Purchase of the print or Kindle book includes a free PDF eBook


Book Description

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#.


What you will learn

- Set up .NET MAUI to build native apps for multiple platforms using its single project capabilities

- Understand the core aspects of developing a mobile app, such as layout, UX, and rendering

- Use custom handlers for platform-specific access

- Discover how to create custom layouts for your apps with .NET MAUI Shell

- Implement serverless services in your .NET MAUI apps using Azure SignalR

- Create a .NET MAUI Blazor application leveraging the power of web technologies

- Build and train machine learning models using ML.NET and Azure Cognitive Services


Who this book is for

This book is for C# and .NET developers who want to learn .NET MAUI and get started with native .NET Core mobile application development from the ground up. Working knowledge of Visual Studio and C# will help you to get the most out of this book.


Table of Contents

- Introduction to .NET MAUI

- Building Our First .NET MAUI App

- Converting a Xamarin.Forms App to .NET MAUI

- Building a News App Using .NET MAUI Shell

- Building a Matchmaking App with a Rich UX Using Animations

- Building a Photo Gallery App Using CollectionView and CarouselView

- Building a Location Tracking App Using GPS and Maps

- Building a Weather App for Multiple Form Factors

- Setting Up a Backend for Sticks and Squares Using Azure Services

- Building a Real-Time Game

- Building a Calculator Using .NET MAUI Blazor

- Hot Dog or Not Hot Dog Using Machine Learning

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x 1.27 Inches (D)
Weight: 2.35 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 630
Genre: Computers + Internet
Sub-Genre: Programming Languages
Publisher: Packt Publishing
Theme: ASP.NET
Format: Paperback
Author: Michael Cummings & Daniel Hindrikes & Johan Karlsson
Language: English
Street Date: February 9, 2024
TCIN: 91655607
UPC: 9781837634910
Item Number (DPCI): 247-42-1199
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.27 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 2.35 pounds
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