Hacking with Swift+ delivers high-quality tutorials for subscribers, with each tutorial coming as a 4K Ultra HD video and in text form so you can read or watch – whatever works best for you.
So, you can get this full video and article as well as all other subscriber-only tutorials and all future tutorials – all by subscribing to Hacking with Swift+ today.
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.
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.
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.
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.
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.
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…
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.
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.
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!
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 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.
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.
Now that we’ve covered stacks and linked lists, queues and deques ought to be easier. In this article we’ll build both data structures in just a few lines of Swift, then explore interesting additions such as
In this article we’re going to build a tool aids in the decryption of popular ciphers, including Caesar shift, columnar transposition, and Vigenère – all while leaning heavily on Apple’s Swift Algorithms package.
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 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.
We already looked at trees, where each node can have zero or more children, and now I want to look at a specialized version called binary trees, where each node has zero, one, or two children. In particular we’re looking to look at how these lead to binary search trees and the remarkable performance advantages they can bring.
If you have nice, clean JSON then using Swift and
Codable is like a dream come true. But what if you have messy JSON, or JSON where you really don’t know what you’ll receive ahead of time? In this article I’ll show you how to handle any kind of JSON in an elegant way, without relying on third-party libraries.
Link copied to your pasteboard.