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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.
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!
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.
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.
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.
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.
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.
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.
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 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.
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.
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 stream we’re going to build a remarkably simply app that still solves a real-world problem: a sentence builder for non-verbal people.
UPDATED: Now that we have our basic data model configured and coded, we can put it to use by building a simple user interface to help make sure our data is in place and working correctly.
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.
One of the big advantages to tasks is that we can pause them, or cancel them outright if their work is longer needed. Even better, for bigger problems we can create whole groups of tasks to accomplish work together.
How we write tests continues to evolve just as quickly as how we write production code, and that’s important – you should, after all, treat your tests with the same level as care as code you ship. In this article we’ll look at a handful of useful techniques to help write better tests with modern Swift.
In this stream we’re going to build a SwiftUI app that lets the user experiment with regular expressions: searching for patterns, matching groups, and even generating Swift code.
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