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Learn gesture recognizer in SwiftUI by building practical examples
Updated on Sep, 2026
Programming, Mobile Development, IOS Development
Duration - 1.5 hours
Training 5 or more people ?
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SwiftUI provides many gestures to create interactions for taps, clicks or swipes. Adding a gesture recognizer in SwiftUI is as simple as adding any other view modifier. Gestures allow the development of engaging and fun features in modern apps. Apple uses gestures heavily throughout their systems, and users of the Apple Echo system have developed a habit for a few gestures that are commonly and widely used by Apple and other apps.
In this video course, you will learn about the drag gesture recogniser. The SwiftUI drag gesture recogniser is very powerful, as it can do a lot of things to make the user interface pleasant. The drag gesture comes with many capabilities that can be used to build custom components from scratch.
You will start by adding a basic drag gesture recogniser to your view. From there, we will explore the various options drag gesture provides. You will learn about the gesture state property wrapper, using translation values provided by the drag gesture to make custom computations. You will also learn about restricting gesture directions and collision detection.
You will build a slider out menu using a purely drag gesture recogniser. We will also build a custom range slider to select a range on a scale. We will also build a clone of iOS control centre's volume and brightness slider control using a drag gesture recogniser.
So join us in this fun, practical course to learn all about the drag gesture recogniser.
Check out the detailed breakdown of what’s inside the course
Hello World from DevTechie. We have several years of experience working for big tech companies to small startups with 40+ years of combined experience in developing apps and softwares. We believe in sharing the knowledge gained over the years and would like to invite you to join us in this journey. We cover end to end development for mobile, web, backend as well as data science and machine learning.
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