Book Image

Xamarin.Forms Projects - Second Edition

By : Daniel Hindrikes, Johan Karlsson
Book Image

Xamarin.Forms Projects - Second Edition

By: Daniel Hindrikes, Johan Karlsson

Overview of this book

Xamarin.Forms is a lightweight cross-platform development toolkit for building apps with a rich user interface. Improved and updated to cover the latest features of Xamarin.Forms, this second edition covers CollectionView and Shell, along with interesting concepts such as augmented reality (AR) and machine learning. Starting with an introduction to Xamarin and how it works, this book shares tips for choosing the type of development environment you should strive for when planning cross-platform mobile apps. You’ll build your first Xamarin.Forms app and learn how to use Shell to implement the app architecture. The book gradually increases the level of complexity of the projects, guiding you through creating apps ranging from a location tracker and weather map to an AR game and face recognition. As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. You’ll be able to customize your apps for both Android and iOS platforms to achieve native-like performance and speed. The book is filled with engaging examples, so you can grasp essential concepts by writing code instead of reading through endless theory. By the end of this book, you’ll be ready to develop your own native apps with Xamarin.Forms and its associated technologies, such as .NET Core, Visual Studio 2019, and C#.
Table of Contents (13 chapters)

Project overview

The main aim of this project will be to set up the backend for a chat application. The biggest part of the project will be the configuration that we will carry out in the Azure portal. We will also write some code for the Azure Functions that will handle the SignalR connections. There will be one function to return information about the SignalR connection and one that posts messages to the SignalR service. The function that we will post messages to will also determine whether the message contains an image. If it does, it will be sent to the Vision API in Azure Cognitive Services to analyze whether it contains adult content. If it does, it won't be posted to the SignalR service and the other users will not get it. Because the SignalR Service has a limitation about how big messages can be, we need to store images in Blob storage and just post the Uniform Resource Locator (URL) of the image to the users. Because we don't save any chat history in this app, we also...