Book Image

How to Build Android Apps with Kotlin - Second Edition

By : Alex Forrester, Eran Boudjnah, Alexandru Dumbravan, Jomar Tigcal
Book Image

How to Build Android Apps with Kotlin - Second Edition

By: Alex Forrester, Eran Boudjnah, Alexandru Dumbravan, Jomar Tigcal

Overview of this book

Looking to kick-start your app development journey with Android 13, but don’t know where to start? How to Build Android Apps with Kotlin is a comprehensive guide that will help jump-start your Android development practice. This book starts with the fundamentals of app development, enabling you to utilize Android Studio and Kotlin to get started with building Android projects. You'll learn how to create apps and run them on virtual devices through guided exercises. Progressing through the chapters, you'll delve into Android's RecyclerView to make the most of lists, images, and maps, and see how to fetch data from a web service. You'll also get to grips with testing, learning how to keep your architecture clean, understanding how to persist data, and gaining basic knowledge of the dependency injection pattern. Finally, you'll see how to publish your apps on the Google Play store. You'll work on realistic projects that are split up into bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. You'll build apps to create quizzes, read news articles, check weather reports, store recipes, retrieve movie information, and remind you where you parked your car. By the end of this book, you'll have the skills and confidence to build your own creative Android applications using Kotlin.
Table of Contents (24 chapters)
1
Part 1: Android Foundation
6
Part 2: Displaying Network Calls
12
Part 3: Testing and Code Structure
17
Part 4: Polishing and Publishing an App

Introducing REST, API, JSON, and XML

Data presented to users can come from different sources. It can be hardcoded into an app, but that comes with limitations. To change hardcoded data, we have to publish an update to our app. Some data, such as currency exchange rates, the real-time availability of assets, and the current weather, cannot be hardcoded by its nature. Other data may become outdated, such as the terms of use of an app.

In such cases, you usually fetch the relevant data from a server. One of the most common architectures for serving such data is representational state transfer (REST) architecture. REST architecture is defined by a set of six constraints: client-server architecture, statelessness, cacheability, a layered system, code on demand (optional), and a uniform interface.

Note

To read more about REST, visit https://packt.link/YsSRV.

When applied to a web service application programming interface (API), we get a Hypertext Transfer Protocol (HTTP)-based...