Bite-sized videos on iOS development.
The iOS landscape is large and changes often. With short, bite-sized videos released on a steady schedule, NSScreencast helps keep you continually up to date.
Up to date with Xcode 15 and iOS 17
UIKit, SwiftUI, SwiftData, and macOS
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Have I mentioned lately how awesome NSScreencast is? No? Worth the subscription. Check it out if you’re an iOS developer. Or even if you’re not and you want an example of how to do coding screencasts well.
Got tired of dead-end googling so I checked to see if @NSScreencast had covered what I was looking for. Of course he had, 4 years ago. Should have checked there first.
One 13-minute episode of @NSScreencast just paid for the yearly subscription fee in amount of time saved. Do it.
Seriously great stuff even for seasoned developers. I’ve learned a good amount from Ben’s videos.
You can really expand your development horizons in just a few minutes a week with NSScreencast.
Random PSA for iOS developers: @NSScreencast is a great resource, and worth every penny. It’s high quality, practical, and honest.
Can’t say enough good things about @NSScreencast There is gold in the Road Trip DJ Series.
I just reuppped my subscription to @NSScreencast. [An] indespensible resource if you’re into iOS or Mac Development.
Just finished @NSScreencast series on Modern CollectionViews. Strongly recommended. Programmatic UI, nicely structured code, easily approachable explanation style. 👌
#490
In this episode we introduce a new open source library called Swift Coding that takes all of these concepts and wraps it up into a Swift Package you can use in your own projects. We give a tour of what the library can do and how you can use it.
#488
Last time we talked about the Encodable protocol. This time let's look at the Decodable protocol. We explore the general concept, then introduce zip and map as utilities to compose smaller decodings into larger ones.
#487
We start exploring the concept of converting Encodable into an Encoding protocol witness. We discover how to clean up our code and make it fit in with `JSONEncoder`’s existing API. We then break down our example into smaller pieces and discuss how we can leverage pullback and functional composition to build bigger pieces out of smaller ones.
#426
Last time we saw the manual approach to parsing XML. While ultra flexible, parsing XML that is extremely tedious. In this episode we will examine a different approach using Codable and a 3rd party library that adds support for XML. We'll see how XML's flexibility adds some increased complexity with how to parse documents, how to control whether properties are encoded/decoded as elements or attributes and how to deal with nested arrays.
#424
When working with Codable models, everything is great until you deviate even slightly from the normal behavior. Doing so requires you to drop down to a more manual approach where you have to define your own CodingKeys enum and encode/decode methods. In this episode we will look at a 3rd party set of property wrappers that give you some handy Codable functionality for free.
#422
In the last episode we had a bit of an issue... I was trying to store an enum value in UserDefaults, thinking it would automatically use the backing rawValue to store and load the value. Unfortunately this doesn't work. In this episode we fix this issue and extend our solution to also accommodate other data types by leveraging Codable and a custom protocol.
#395
You may encounter a scenario where you want to decode some JSON that contains an array of objects that may be of a different type. In this episode we examine such a scenario, where we have a feed that contains an array of posts, but each post object can be of a different kind, such as text, image, or video. We will take a look at how to solve this by introducing a protocol called DecodableClassFamily, and along with a Discriminator that will inform the decoding logic which type it should decode. We'll then take this working example and make a reusable solution using Swift Generics.
#388
In this episode we take the response from the top podcasts feed and decode the JSON into models using Codable.