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)

Summary

This was the final chapter, dedicated to multithreading, which put a finishing touch on a story line that started in Chapter 5, Getting Started with the Parallel World. I started by describing all the bad things that can happen when writing parallel code, then spent one chapter showing the cumbersome TThread, which makes multithreaded code such an unnecessary pain, and then in this chapter I finally moved on to the nice parts of the puzzle—tasks and patterns.

The chapter opened with a discussion of tasks and patterns—what they are and how they can be used to simplify multithreaded programming. For a bonus, I threw in a short treatise about variable capturing, which focused only on one problematic part—the capturing of a loop variable.

Then we looked at how we can use tasks to split a loop into multiple parallel loops. We saw that there's quite...