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

In this chapter, we finally started learning to write parallel code. I started with a short introduction about processes and threads, single and multithreading, single-tasking, and multitasking. I also explained the most important differences between processes and threads.

After that, we started learning what not to do when writing multithreaded code. Firstly, I brought up the most important dogma—"Never access the user interface from a background thread". Such strong words deserve proof and I gave you one.

In the next, largest part of the chapter, I slowly explained why you should be extremely careful if you want to access shared data from multiple threads. While simultaneous reading is OK, you should always use protection when reading and writing at the same time.

In the context of parallel programming and data sharing, this protection is implemented...