Book Image

Mastering iOS 14 Programming - Fourth Edition

By : Mario Eguiluz Alebicto, Chris Barker, Donny Wals
Book Image

Mastering iOS 14 Programming - Fourth Edition

By: Mario Eguiluz Alebicto, Chris Barker, Donny Wals

Overview of this book

Mastering iOS 14 development isn’t a straightforward task, but this book can help you do just that. With the help of Swift 5.3, you’ll not only learn how to program for iOS 14 but also be able to write efficient, readable, and maintainable Swift code that reflects industry best practices. This updated fourth edition of the iOS 14 book will help you to build apps and get to grips with real-world app development flow. You’ll find detailed background information and practical examples that will help you get hands-on with using iOS 14's new features. The book also contains examples that highlight the language changes in Swift 5.3. As you advance through the chapters, you'll see how to apply Dark Mode to your app, understand lists and tables, and use animations effectively. You’ll then create your code using generics, protocols, and extensions and focus on using Core Data, before progressing to perform network calls and update your storage and UI with the help of sample projects. Toward the end, you'll make your apps smarter using machine learning, streamline the flow of your code with the Combine framework, and amaze users by using Vision framework and ARKit 4.0 features. By the end of this iOS development book, you’ll be able to build apps that harness advanced techniques and make the best use of iOS 14’s features.
Table of Contents (22 chapters)

Improvements in machine learning

Improvements to Core ML presented during WWDC2020 will help developers with the development of their machine learning apps, with improvements that upgrade your app models, secure them, and group them in targeted collections. We are going to cover in this section the new Core ML Model Deployment, the new model collections with targeted deployments, and the new model encryption.

Core ML Model Deployment, collections, and targeted deployments

One of the most significant features introduced in WWDC 2020 for Core ML is Core ML Model Deployment. To describe it in simple words, it lets developers update their models on the fly. Developers are no longer required to update the whole app in the AppStore to make changes to their machine learning models. Apps can just download a new mlmodel file from the cloud.

Developers will be able to create machine learning model collections on the cloud and update them on CloudKit. Apps will download those collections...