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Focusing on performance optimization for macOS and iOS, Marcel Weiher drills down to the code level to help you systematically optimize CPU, memory, I/O, graphics, and program responsiveness in any Objective-C, Cocoa, or CocoaTouch program. Drawing on 25 years of experience optimizing Apple device software, he identifies concrete performance problems that can be discovered empirically via measurement.
<ASIN: 0321842847>
Then, based on a deep understanding of fundamental principles, he presents specific techniques for solving them.
Author: Marcel Weiher Publisher: Addison Wesley Date: February 2017 Pages: 400 ISBN: 978- 0321842848 Print: 0321842847 Kindle: B06X9Z79C7
Weiher presents insights you won’t find anywhere else, most of them applying to both macOS and iOS development. Throughout, he reveals common pitfalls and misconceptions about Apple device performance, explains the realities, and helps you reflect those realities in code that performs beautifully.
- Understand optimization principles, measurement, tools, pitfalls, and techniques
- Recognize when to carefully optimize, and when it isn’t worth your time
- Balance performance and encapsulation to create efficient object representations, communication, data access, and computation
- Avoid mistakes that slow down Objective-C programs and hinder later optimization
- Fix leaks and other problems with memory and resource management
- Address I/O issues associated with drives, networking, serialization, and SQLite
- Code graphics and UIs that don’t overwhelm limited iOS device resources
- Learn what all developers need to know about Swift performance
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The Rust Programming Language, 2nd Ed
Author: Steve Klabnik and Carol Nichols Publisher: No Starch Press Date: June 2023 Pages: 560 ISBN: 978-1718503106 Print: 1718503105 Kindle: B0B7QTX8LL Audience: Systems programmers Rating: 4.8 Reviewer: Mike James
There's a new edition of what has become the standard text on Rust. Has it matured along with [ ... ]
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Your AI Survival Guide
Author: Sol Rashidi Publisher: Wiley Date: April 2024 Pages: 224 ISBN: 978-394272631 Print: 1394272634 Kindle: B0CYLXSVW5 Audience: General Rating: 3.5 Reviewer: Kay Ewbank
This is a book aimed at executives and managers who work in companies that don't yet use AI, with the aim of providing information to [ ... ]
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