Book Image

Hands-On Embedded Programming with C++17

By : Maya Posch
5 (1)
Book Image

Hands-On Embedded Programming with C++17

5 (1)
By: Maya Posch

Overview of this book

C++ is a great choice for embedded development, most notably, because it does not add any bloat, extends maintainability, and offers many advantages over different programming languages. Hands-On Embedded Programming with C++17 will show you how C++ can be used to build robust and concurrent systems that leverage the available hardware resources. Starting with a primer on embedded programming and the latest features of C++17, the book takes you through various facets of good programming. You’ll learn how to use the concurrency, memory management, and functional programming features of C++ to build embedded systems. You will understand how to integrate your systems with external peripherals and efficient ways of working with drivers. This book will also guide you in testing and optimizing code for better performance and implementing useful design patterns. As an additional benefit, you will see how to work with Qt, the popular GUI library used for building embedded systems. By the end of the book, you will have gained the confidence to use C++ for embedded programming.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Summary


In this chapter, we looked at the myriad ways in which the Qt framework can be used to develop for embedded systems. We briefly looked at how it compares with other frameworks and how Qt is optimized for these embedded platforms, before working through an example of a QML-based GUI that could be added to the infotainment system we previously created.

You should now be able to create basic Qt applications, both purely command line-based and with a GUI. You should also have a clear idea of which options Qt offers to develop GUIs with.

In the next chapter, we will be taking a look at the next evolution of embedded platforms, using field-programmable gate arrays (FPGAs) to add custom, hardware-based functionality to speed up embedded platforms.