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In this article I’m going to walk you through building a
WaveView with SwiftUI, allowing us to create beautiful waveform-like effects to bring your user interface to life.
While I’m sure you’re keen to get started programming immediately, please give me a few minutes to outline the goals of this course and explain why it’s different from other courses I’ve written.
Before you dive in to the first article in this course, I want to give you a brief overview of our goals, how the content is structured, as well as a rough idea of what you can expect to find.
Generics are one of the most powerful features of Swift, allowing us to write code once and reuse it in many ways. In this article we’ll explore how they work, why adding constraints actually helps us write more code, and how generics help solve one of the biggest problems in Swift.
It is my firm belief that every iOS app should be usable to everyone, and putting in the work to make your app function well no matter who is using it says a lot about the kind of developer you are.
In this article you’ll learn how memoization can dramatically boost the performance of slow functions, and how easy Swift makes it thanks to its generics and closures.
Anyone can write Swift code to fetch network data, but much harder is knowing how to write code to do it respectfully. In this article we’ll look at building a considerate network stack, taking into account the user’s connection, preferences, and more.
SwiftUI gives us a modifier to make simple shadows, but if you want something more advanced such as inner shadows or glows, you need to do extra work. In this article I’ll show you how to get both those effects and more in a customizable, flexible way.
Phantom types are a powerful way to give the Swift compiler extra information about our code so that it can stop us from making mistakes. In this article I’m going to explain how they work and why you’d want them, as well as providing lots of hands-on examples you can try.
Trees are an extraordinarily simple, extraordinarily useful data type, and in this article we’ll make a complete tree data type using Swift in just a few minutes. But rather than just stop there, we’re going to do something quite beautiful that I hope will blow your mind while teaching you something useful.
It’s not hard to make a basic property wrapper, but if you want one that automatically updates the
body property like
@State you need to do some extra work. In this article I’ll show you exactly how it’s done, as we build a property wrapper capable of reading and writing documents from our app’s container.
Swift’s optionals are implemented as simple enums, with just a little compiler magic sprinkled around as syntactic sugar. However, they do much more than people realize, and in this article I’m going to demonstrate some of their power features that can really help you write better code – and blow your mind along the way.
In this part we’re going to look at an example solution to implement matched geometry animations in our Journeys app.
Checkpoint 2 of Swift for Complete Beginners asks you to print the number of items in a string array, then print the number of unique items. Let’s solve that now…
If you watch a flock of birds you’ll see it exhibits all sorts of complex behaviors as they swarm around in the air – they often stay together but not too close, they move in the same direction but also seem to change direction at the same time. In this article we will create flocking behavior in SwiftUI, using Craig Reynolds’ classic boids algorithm.
Checkpoint 8 of Swift for Complete Beginners asks you to design a protocol to represent a building, then create two structs conforming to it. Let’s solve that now…
At this point our main list view is almost done, but before we’re finished we’re going to add some icons, make landscape mode work better, and even fix a rather nasty deletion bug.
Instruments is a powerful tool for identifying performance problems, but in this article I’ll show you how to find code that slows down rendering in your app, causing slow scrolling, wasted CPU time, and more – all through the simulator.
Many coding problems are designed to perform the same operation on lots of data, and in fact they are so common Apple has a whole framework to make it better: Accelerate. In this video I’ll give you an introduction to Accelerate using practical examples so you can see just how easy it is.
In this part we’ll work through another task to help you try out labels in Journeys, then move on to explore scaled metrics and the beginnings of matched geometry effects.
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