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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.
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 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…
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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!
In this article we’re going to look at the
compactMap() function, which is a more advanced form of
map() that adds an important second step to handle optional results. Please make sure you’ve already gone through my tutorial on
map() before continuing here!
Quick Actions let users long-press on our app’s icon on the Home Screen to show a list of actions they can perform immediately. In this article we’re going to add a quick action to create a new project in one step – it’s more work than you might think!
We already looked at how to fetch decodable data using Combine, and also how to fetch and merge multiple sources of data. In this article we’ll tackle something even more complex: creating chained network requests, where the information retrieved from one request must be used to create multiple other requests.
At last it’s time to start writing tests for our project, which means a little bit of setup work backed by writing our first couple of tests – we’ll take this slow initially, but lay down a good foundation for future tests.
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.
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