Core Data Books

Core Data
Core Data

Core Data Objc Book Details

Title: Core Data Books
Author: Florian Kugler and Daniel Eggert
Language: English
Subject: Swift / Computers & Technology / Programming / Apple Programming
No. of pages: 271
Format: PDF, EPUB, Mobile, Source code

Recently I bought a set of all IOS books from As you can see in the image above, which include Core Data By Florian Kugler and Daniel Eggert. And now I want to transfer it to you for $ 50 (6 books and Video App Architecture, Advance swift  and Thinking in SwiftUI) Payment Via Paypal or Bitcoin, All books are the latest version and have full source code, I will share it for you for $ 50 Includes PDF, EPUB file and full source code, Video App Architecture, Advance Swift  and Thinking in SwiftUI , you can download on Google Drive. When any book have new version i will get it free for you.

List bundle 6 books From Objc.IO

1, App Architecture + Video
2, Thinking in swiftui + Video
3, Advanced Swift + Video
4, Functional Swift
5, Core Data
6, Optimizing Collections

Please contact me by Email:

Thank you

Introduction Core Data Books

Core Data is Apple’s object graph management and persistency framework for iOS, macOS, watchOS, and tvOS. If your app needs to persist structured data, Core Data is the obvious solution to look into: it’s already there, it’s actively maintained by Apple, and it has been around for more than 10 years. It’s a mature, battle-tested code base.

Nevertheless, Core Data can also be somewhat confusing at first; it’s flexible, but it’s not obvious how to best use its API. That said, the goal of this Core Data book is to help you get off to a flying start. We want to provide you with a set of best practices — ranging from simple to advanced use cases — so that you can take advantage of Core Data’s capabilities without getting lost in unnecessary complexities.

For example, Core Data is often blamed for being difficult to use in a multithreaded environment. But Core Data has a very clear and consistent concurrency model. Used correctly, it helps you avoid many of the pitfalls inherent to concurrent programming. The remaining complexities aren’t specific to Core Data but rather to concurrency itself. We go into those issues in the chapter about problems that can occur with multiple contexts, and in another chapter, we show a practical example of a background syncing solution.

Similarly, Core Data often has the reputation of being slow. If you try to use it like a relational database, you’ll find that it has a high performance overhead compared to, for example, using SQLite directly. However, when using Core Data correctly – treating it as an object graph management system – there are actually quite a few places where it ends up being faster due to its built-in caches and object management. Furthermore, the higher-level API lets you focus on optimizing the performance-critical parts of your application instead of reimplementing persistency from scratch. Throughout this book, we’ll also describe best practices to keep Core Data performant. We’ll take a look at how to approach performance issues in the dedicated chapter about performance, as well as in the profiling chapter.

How This Core Data Book Approaches Core Data

This book shows how to use Core Data with working examples — it’s not an extended API manual. We deliberately focus on best practices within the context of complete examples. We do so because, in our experience, stringing all the parts of Core Data together correctly is where most challenges occur.

In addition, this Core Data book provides an in-depth explanation of Core Data’s inner workings. Understanding this flexible framework helps you make the right decisions and, at the

same time, keep your code simple and approachable. This is particularly true when it comes to concurrency and performance.