Before we dive in this week, a minor errata from last weeks issue in which I mentioned that Apple’s new Machine Learning Journal didn’t have an associated RSS feed. Turns out that isn’t the case and the feed *is* actually available here. Thanks to Joe Heck for setting me straight!
Some useful tips from @dilmergames on how to stay sane as an indie developer.
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@jemmons looks at the problem of pattern matching and
NSError‘s in Swift. The solution turns out to be much easier than you might have
@zntfdr has discovered a nice little suprise in Xcode 9 Beta 3 onwards… all the Core Graphics geometric data types are now Codable conformant!
@arthurr_here shares his teams experience of using MVVM, Coordinatators and RxSwift to simplify their app architecture.
In this series of articles, @zntfdr provides a gentle introduction to getting started wtih ARKit.
If you’ve looking to brush up on your Core Data concurrency, @MarcoSantaDev has published a nice series of articles that are worth checking out.
@digitalleaves walks through how to get started with the new drag-and-drop APIs in iOS 11.
SwiftCheck is a useful testing library for automatically generating random input data for testing different aspects of an algorithm or data structure.
Following on from the link I included in last weeks issue, @AndrewProjDent has kindly released the source for his ARKit / CoreLocation demo.
When it comes to machine learning on iOS, Core ML is not the only choice. @mhollemans provides a nice summary of the alternatives.
@gregheo searches for a better way of structuring iOS applications by looking at the various ways ViewControllers are used and abused.
…the Rock. Silly but it made me laugh. Now if only Siri worked as well in reality maybe I’d get more done… 😉