Book Image

Mastering Delphi Programming: A Complete Reference Guide

By : Primož Gabrijelčič
Book Image

Mastering Delphi Programming: A Complete Reference Guide

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time. This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements. By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects. This Learning Path includes content from the following Packt products: Delphi High Performance by Primož Gabrijel?i? Hands-On Design Patterns with Delphi by Primož Gabrijel?i?
Table of Contents (19 chapters)

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?