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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.
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.
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 article we’re going to look at the
map() function, which transforms one thing into another thing. Along the way we’ll also be exploring some core concepts of functional programming, so if you read no other articles in this course at least read this one!
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.
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.
This early challenge day asks you to build a converter app that’s able to move between any two similar units, such as kilometers and miles. Let’s solve it now, then we’ll take it further, and then we’ll take it even further…
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.
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.
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.
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.
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.
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.
Assertions allow us to have Swift silently check the state of our program at runtime, but if you want to get them right you need to understand some intricacies. In this article I’ll walk you through the five ways we can make assertions in Swift, and provide clear advice on which to use and when.
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.
To kick off the process of cleaning up our code to work well on macOS, we’re going to tackle the easiest one of our views: Awards. This means fixing up its navigation and button styles so it looks and feels great on Mac.
At this point you can get a basic idea for the UI of our app, but it has a fatal flaw: although we can add test data, we can’t do the same for user data. Let’s fix that now – there’s more to it than you might think!
The flood fill approach to path finding is one of the easiest to learn, works great in games with small maps, and is also commonly used in software – filling a picture with color, for example. In this article I’ll walk you through how the algorithm works, and help you build a visual representation of it in action.
Although many apps work great when paid for up front, many more work better when using a freemium model – you get lots of downloads of a free app, then charge for some kind of premium service. In this article we’re going to prepare to limit our app unless the user has paid for an unlock, but we’ll be using a flexible approach you can adapt easily.
The final major change we’re going to make to our project is to look at how it fits in with the MVVM design pattern. I left this one to last because it’s quite a jump from our previous work and in some respects SwiftUI even fights against it, but I do think it’s worth exploring so you can be sure your code is sound.
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