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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Mathematics for Machine Learning
Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong Publisher: Cambridge University Press Pages: 398 ISBN: 978-1108455145 Print: 110845514X Kindle: B083M7DBP6 Audience: Developers interested in machine learning Rating: 3.5 Reviewer: Mike James Lots of people need to learn the math behind mach [ ... ]
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Reliable Source: Lessons from a Life in Software Engineering
Author: James Bonang Date: January 2022 Pages: 608 Kindle: B09QCBVJ9V Audience: General interest Rating: 5 Reviewer: Kay Ewbank
This book combines a fun read with interesting insights into how to write reliable programs.
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