fatbobman

joined 5 months ago
 

Data binning is a commonly used data processing technique that typically divides continuous numerical or temporal data into multiple intervals (which are mostly adjacent and non-overlapping). This method not only covers the entire data range but also provides clear demarcation for data points within each interval. By performing data binning, we can analyze, visualize, and statistically process complex datasets more effectively. This article will explore how to use the advanced APIs provided by Swift Charts to achieve precise and efficient data binning.

 

Fatbobman's Swift Weekly #049 | Innovation Comes in Many Forms

  • Core Data Issue
  • Observable vs ObservableObject
  • SwiftData Expressions
  • Obj-c to SwiftUI
  • Swift Testing
  • Memory Leak
  • visionOS 2 PortalComponent
 

Fatbobman's Swift Weekly #048 | Apple Watch, The Sturdy Linchpin of the Apple Ecosystem

  • Hover Effects
  • AirDrop Conundrum
  • LockedCameraCapture Framework
  • iOS Performance
  • visionOS in Medical
  • Github Contribution Graph with Swift Charts
 

Fatbobman's Swift Weekly #047 | Societal Progress Through the Lens of Driver's License Medical Examinations

  • TipKit
  • Gucci App on VisionPro
  • App Size
  • Darwin Notifications
  • Custom Symbols in Control Center Widgets
  • init of View
  • UDP in SwiftNIO
 

Fatbobman's Swift Weekly #046 | Warning-Free Compilation is Not the Ultimate Goal of Swift 6

  • EditorConfig in Xcode
  • SwiftUI for Mac 2024
  • Guide to Xcode Cloud
  • Swift and WebAssembly
  • From Highlighting to AI
  • _ConditionalContent in List SubView
 

Fatbobman's Swift Weekly #045 | We Need More "Wukong"

  • Codable and Enums in SwiftData Models
  • Global Sheets Pattern in SwiftUI
  • SwiftUI: Perception and Reality
  • Emoji in 2024
  • Disabling Xcode Asset Symbol Generation
  • Insights on App Review
 

Compared to Core Data, SwiftData has fundamentally revolutionized the way data models are constructed. It not only supports a purely code-based declaration method but also allows the direct use of types conforming to the Codable protocol and enum types within models, which are its significant new features. Many developers are inclined to leverage these new capabilities because they seem to fit very well with the Swift language’s declaration style. However, a lack of understanding of the implementation details and potential limitations of these new features may lead to various issues in the future. This article aims to discuss several key points to consider when using Codable and enums in SwiftData models, helping developers avoid common pitfalls.

 

Fatbobman's Swift Weekly #044 | It's Time for a Summer Break

  • Analyzing Grid Layout Issues
  • Exploring Task Isolation Inheritance
  • Interesting Swift Websites
  • Customizing windows in SwiftUI
  • Swift Concurrency
  • Releasing Swift Binaries with Actions
 

This article will analyze a case of abnormal Grid layout, exploring the analytical approach and problem-solving strategies when encountering issues in everyday SwiftUI development.

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Fatbobman's Swift Weekly #043 (weekly.fatbobman.com)
submitted 1 month ago* (last edited 1 month ago) by fatbobman@programming.dev to c/ios_dev@programming.dev
 

Fatbobman's Swift Weekly #043 | Archiving and Awakening Memories

  • Tile Image in SwiftUI
  • Exploring Writing Tools
  • Going Indie
  • WKWebView Cache Research
  • Performance Testing on CI
  • Swift 6 Migration
  • Non-Sendable
  • Reference to captured Error

https://weekly.fatbobman.com/p/fatbobmans-swift-weekly-043

 

In this article, we will explore two different implementations of image tiling and from there, introduce a less commonly used Image construction method in SwiftUI.

 

Fatbobman's Swift Weekly #042 | Experience is a Double-Edged Sword

  • Common Misconceptions About SwiftUI
  • Particle Effects with Canvas
  • Image Memory Optimization
  • Swift vs TypeScript
  • SwiftData Error Handling
  • Async Await in Swift
  • DebugDescription
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