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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.
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.
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.
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.
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.
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.
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.
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!
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…
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.
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.
UPDATED: Everything we’ve done so far has produced a serviceable app, although in the future we’ll add a lot more functionality and cross-platform support. But before we get near to those, I want to change gear and focus on making our existing code better. This is where the real work begins!
UPDATED: Shortcuts let users access quick commands from our app elsewhere in the system, as well as chaining them to build complex commands, or even asking Siri to trigger one directly. In this article we’re going to add one to our app, and I think you’ll be amazed how little work it takes!
Although we mostly prefer JSON for data transfer, many major languages make it easy to parse and traverse XML documents. Swift does not, but that’s something we can fix in under a 100 lines of code by writing our own implementation of MiniDOM – Python’s lightweight implementation of the document object model.
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.
There’s a quote from James Shore that I absolutely love, and I always start with it when introducing this concept to folks: “Dependency injection is a 25-dollar term for a 5-cent concept.”
This challenge asks you to go back and adjust both project 1 and project 2 based on what you learned, then try your hand at creating a custom view modifier. Let’s tackle it now…
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