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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 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.
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 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.
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…
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.
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.
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.
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.
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.
JSON is one of the most common file formats we deal with, so we can write a little macOS utility to make it nicer to work with – compressing the data, formatting the data, and even sorting the key names.
In this stream we're going to build a trivial game with SwiftUI, but then look at ways we can make it more interesting through difficulty variations – there's so much room to experiment!
In this article we’re going to build part of a SwiftUI app that helps users find designers for work. The goal here isn’t to build a full app, but instead to explore lesser-known SwiftUI features in a practical way.
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.
At this point we’ve looked at writing code using async
/await
, using continuations to bridge old code, then optionally using async let
as well. Here we’re going to expand our concurrency knowledge to include tasks and task groups, which provide much more control over our work.
UPDATED: At this point you can get a basic idea for the UI of our app, but it has a fatal flaw: although we can add test data, we can’t do the same for user data. Let’s fix that now – there’s more to it than you might think!
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