Book Image

Swift High Performance

By : Kostiantyn Koval
Book Image

Swift High Performance

By: Kostiantyn Koval

Overview of this book

Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun. Develop Swift and discover best practices that allow you to build solid applications and optimize their performance. First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code.
Table of Contents (15 chapters)
Swift High Performance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we covered many tools that would boost your productivity. REPL and Playgrounds are perfect for trying out new code and quick code prototyping. Playgrounds can also be used to create interactive documentation and tutorials. Then we covered debugging tools (such as LLDB and REPL) in Xcode, which are very useful for checking the results of operations performed at runtime. The performance of an application can be measured in Instruments or using the console log. To make sure that the performance doesn't decrease, you should use unit testing.

Basically, in this chapter, you learned many tools for discovering slow and problematic code, and in the next chapter, you will learn how to improve and optimize it.