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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.
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.
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.
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…
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.
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.
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.
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!
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.
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.
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.
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…
UPDATED: Parsing data into your app is probably the single most common task any iOS developer needs to do, so in this article we’ll start to build out an Awards screen using JSON.
Instruments gives us a range of tools for finding performance problems, and in this article we’ll be looking at how the Time Profiler instrument can point out problems in seconds.
In this part we’re going to build an app to explore SF Symbols, all built using the massive new updates to
UICollectionView that let it act like a table view.
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.
UPDATED: Right now we trigger a save when our user takes a dramatic action such as adding a tag or deleting an issue, but we don’t want to trigger a save for every letter they press while editing an issue title. So, how can we make sure data is safe while also avoiding too much work?
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