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Hands-On High Performance Programming with Qt 5

You're reading from   Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789531244
Length 384 pages
Edition 1st Edition
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Author (1):
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Marek Krajewski Marek Krajewski
Author Profile Icon Marek Krajewski
Marek Krajewski
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Table of Contents (14) Chapters Close

Preface 1. Understanding Performant Programs 2. Profiling to Find Bottlenecks FREE CHAPTER 3. Deep Dive into C++ and Performance 4. Using Data Structures and Algorithms Efficiently 5. An In-Depth Guide to Concurrency and Multithreading 6. Performance Failures and How to Overcome Them 7. Understanding I/O Performance and Overcoming Related Problems 8. Optimizing Graphical Performance 9. Optimizing Network Performance 10. Qt Performance on Embedded and Mobile Platforms 11. Testing and Deploying Qt Applications 12. Assessments 13. Other Books You May Enjoy

Summary

In this chapter, we looked at the supposedly boring theme of reading, writing, and parsing data that's stored in files. Maybe you will never need to process big files in your Qt program, but at least you gained some understanding of I/O and virtual memory problems.

We started with a general discussion of disks, file I/O, and buffering, and then we learned about Qt's classes for reading and writing files. We followed this up with a discussion of XML and JSON processing as these are the most popular data formats that are currently in use. We also quickly discussed the database connectivity support that Qt provides and its multithreading usage. Finally, we had a closer look at some operating system aspects that can influence disk performance like vital memory support and disk fragmentation.

In the next chapter, we will look at the perhaps the most interesting part...

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