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How to Build Android Apps with Kotlin

You're reading from   How to Build Android Apps with Kotlin A practical guide to developing, testing, and publishing your first Android apps

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837634934
Length 704 pages
Edition 2nd Edition
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Authors (4):
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Alex Forrester Alex Forrester
Author Profile Icon Alex Forrester
Alex Forrester
Jomar Tigcal Jomar Tigcal
Author Profile Icon Jomar Tigcal
Jomar Tigcal
Eran Boudjnah Eran Boudjnah
Author Profile Icon Eran Boudjnah
Eran Boudjnah
Alexandru Dumbravan Alexandru Dumbravan
Author Profile Icon Alexandru Dumbravan
Alexandru Dumbravan
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Android Foundation
2. Chapter 1: Creating Your First App FREE CHAPTER 3. Chapter 2: Building User Screen Flows 4. Chapter 3: Developing the UI with Fragments 5. Chapter 4: Building App Navigation 6. Part 2: Displaying Network Calls
7. Chapter 5: Essential Libraries: Retrofit, Moshi, and Glide 8. Chapter 6: Adding and Interacting with RecyclerView 9. Chapter 7: Android Permissions and Google Maps 10. Chapter 8: Services, WorkManager, and Notifications 11. Chapter 9: Building User Interfaces Using Jetpack Compose 12. Part 3: Testing and Code Structure
13. Chapter 10: Unit Tests and Integration Tests with JUnit, Mockito, and Espresso 14. Chapter 11: Android Architecture Components 15. Chapter 12: Persisting Data 16. Chapter 13: Dependency Injection with Dagger, Hilt, and Koin 17. Part 4: Polishing and Publishing an App
18. Chapter 14: Coroutines and Flow 19. Chapter 15: Architecture Patterns 20. Chapter 16: Animations and Transitions with CoordinatorLayout and MotionLayout 21. Chapter 17: Launching Your App on Google Play 22. Index 23. Other Books You May Enjoy

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 Other data may become outdated, such as the terms of use of an app.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...

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