Torrent details for "Archer F. Swift and Machine Learning. The Ultimate Programming G…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
1.8 MB
Info Hash:
CE7A22FE6FFFBC9189DEAAD28B7EC14E48FF3F7C
Added By:
Added:
April 20, 2026, 4:34 a.m.
Stats:
|
(Last updated: April 20, 2026, 4:39 a.m.)
| File | Size |
|---|---|
| Archer F. Swift and Machine Learning. The Ultimate Programming Guide...2025.pdf | 1.8 MB |
Name
DL
Uploader
Size
S/L
Added
-
281.1 MB
[34
/
38]
2025-12-15
| Uploaded by XXXClub | Size 281.1 MB | Health [ 34 /38 ] | Added 2025-12-15 |
NOTE
SOURCE: Archer F. Swift and Machine Learning. The Ultimate Programming Guide...2025
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
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)
×


