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Mastering Delphi Programming: A Complete Reference Guide

You're reading from   Mastering Delphi Programming: A Complete Reference Guide Learn all about building fast, scalable, and high performing applications with Delphi

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Product type Course
Published in Nov 2019
Publisher Packt
ISBN-13 9781838989118
Length 674 pages
Edition 1st Edition
Languages
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Author (1):
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Primož Gabrijelčič Primož Gabrijelčič
Author Profile Icon Primož Gabrijelčič
Primož Gabrijelčič
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Table of Contents (19) Chapters Close

Preface 1. About Performance 2. Fixing the Algorithm FREE CHAPTER 3. Fine-Tuning the Code 4. Memory Management 5. Getting Started with the Parallel World 6. Working with Parallel Tools 7. Exploring Parallel Practices 8. Using External Libraries 9. Introduction to Patterns 10. Singleton, Dependency Injection, Lazy Initialization, and Object Pool 11. Factory Method, Abstract Factory, Prototype, and Builder 12. Composite, Flyweight, Marker Interface, and Bridge 13. Adapter, Proxy, Decorator, and Facade 14. Nullable Value, Template Method, Command, and State 15. Iterator, Visitor, Observer, and Memento 16. Locking Patterns 17. Thread pool, Messaging, Future and Pipeline 18. Other Books You May Enjoy

About Performance

"My program is not fast enough. Users are saying that it is not performing well. What can I do?"

These are the words I hear a lot when consulting on different programming projects. Sometimes the answer is simple, sometimes hard, but almost always the critical part of the answer lies in the question. More specifically, in one word - performing.

What do we mean when we say that a program is performing well? Actually, nobody cares. What we have to know is what users mean when they say that the program is not performing well. And users, you'll probably admit, look at the world in a very different way than we programmers.

Before starting to measure and improve the performance of a program, we have to find out what users really mean by the word performance. Only then can we do something productive about it.

We will cover the following topics in this chapter:

  • What is performance?
  • What do we mean when we say that a program performs well?
  • What can we tell about the code speed by looking at the algorithm?
  • How does the knowledge of compiler internals help us write fast programs?
  • Why is it better to measure than to guess?
  • What tools can we use to find the slow parts of a program?
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