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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.
Getting ready for a job interview is tough work, so I’ve prepared a whole bunch of common questions and answers to help give you a jump start. But before you get into them, let me explain the plan in more detail…
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.
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.
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.
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.
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.
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.
UPDATED: 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.
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.
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.
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.
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!
This challenge asks you to upgrade our simple Friendface app to make it store a Core Data cache of data, so it works just as well offline as online. Let’s tackle it now…
From iOS 17 onwards, we can dynamically adjust any SwiftUI views using Metal shaders. I’m going to show you how to do it, but not just how to apply them – I’m going to show you how to write your own shaders using Metal shading language! In this first article I’ll introduce how shaders work, along with some fundamental data types and a handful of Metal functions.
Particle systems let us create special effects such as confetti, fire, smoke, rain, and snow, all by adjusting a range of inputs. In this article we’re going to build our own particle system entirely driven by SwiftUI, so you can easily add some sparkle to your apps.
Now that we have covered all the changes in Swift concurrency, we can start to look at the changes in SwiftUI, starting with
UPDATED: Although our project doesn’t do anything particularly performance intensive, having a great portfolio app means you should at least attempt to demonstrate you understand how performance tests work. In this chapter we’ll add just such a test to our project, to make sure our award counting work is fast.
Although Apple has done a great deal of work to bring these two powerhouse frameworks closer together, they still fundamentally work in entirely different ways, and providing a good comparison might take more thought than you expect.
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