Archer F. Swift and Machine Learning. The Ultimate Programming Guide...2025 torrent

Textbook in PDF format

This guide offers a thorough introduction and deep dive into Swift, Apple’s powerful and intuitive programming language. Beginning with Swift's definition, characteristics, and evolution (p.14 – 15), it explains why Swift is a modern choice for developers (p.16 – 17) and how it compares to other languages like Objective-C, Python, and Kotlin (p.17 – 18).
You’ll learn to set up your development environment (p.18 – 19), explore Swift basics (p.20 – 30), and master essential programming concepts like control flow, functions, closures, data structures, optionals, object-oriented programming, protocols, and generics (p.25 – 47). The guide also covers memory management using ARC, preventing memory leaks, and understanding Swift’s advanced functional programming capabilities (p.48 – 65).
Error handling, debugging, and concurrency using both Grand Central Dispatch and Swift's modern async/await model are covered in-depth (p.66 – 81). It introduces SwiftUI for modern declarative UI development, along with UIKit/AppKit for traditional interfaces (p.83 – 100).
Advanced topics include networking and APIs (p.104 – 113), data persistence using SwiftData and Core Data (p.114 – 120), and machine learning with Core ML and Vision (p.121 – 128). The guide also explores graphics/game development with SpriteKit, SceneKit, Metal, and ARKit (p.129 – 137), as well as server-side development using Vapor (p.138 – 145).
Security, testing, optimization, and Apple ecosystem integration (watchOS, macOS, tvOS, HomeKit, HealthKit, Core Bluetooth, IoT) are covered in detail (p.147 – 174), along with app packaging and distribution, including App Store submission and Swift Package Manager (p.175 – 179).
The book concludes with a look at the future of Swift, best practices, and rich community resources (p.181 – 220), followed by a helpful glossary and productivity guide (p.198 – 218)