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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.
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.
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.
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.
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.
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.
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…
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.
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 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.
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.
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.
Just like UIKit before it, SwiftUI doesn’t come with built-in support for loading remote images, which makes it hard to get data from the internet. In this article I’ll show you how you can build a custom view that can fetch image from the internet, while also showing other images for different states.
In this article we’re going to build an app to track how much water the user has consumed today, then tie it into a widget so they place a gentle reminder right on their Home Screen.
As with so many good interview answers, you should aim to provide a succinct summary first, then expand on your answer with some specifics and examples, and finally get into more nuanced territory based on your real-world experiences.
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.
In this article we’re going to look at the reduce()
function, which allows us to boil down multiple values to a single value as a way of summing up or summarizing a sequence.
In this part we’re going to look at an example solution to implement matched geometry animations in our Journeys app.
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