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Mastering Embedded Linux Programming

You're reading from   Mastering Embedded Linux Programming Create fast and reliable embedded solutions with Linux 5.4 and the Yocto Project 3.1 (Dunfell)

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781789530384
Length 758 pages
Edition 3rd Edition
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Authors (2):
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Frank Vasquez Frank Vasquez
Author Profile Icon Frank Vasquez
Frank Vasquez
Mr. Chris Simmonds Mr. Chris Simmonds
Author Profile Icon Mr. Chris Simmonds
Mr. Chris Simmonds
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Elements of Embedded Linux
2. Chapter 1: Starting Out FREE CHAPTER 3. Chapter 2: Learning about Toolchains 4. Chapter 3: All about Bootloaders 5. Chapter 4: Configuring and Building the Kernel 6. Chapter 5: Building a Root Filesystem 7. Chapter 6: Selecting a Build System 8. Chapter 7: Developing with Yocto 9. Chapter 8: Yocto Under the Hood 10. Section 2: System Architecture and Design Decisions
11. Chapter 9: Creating a Storage Strategy 12. Chapter 10: Updating Software in the Field 13. Chapter 11: Interfacing with Device Drivers 14. Chapter 12: Prototyping with Breakout Boards 15. Chapter 13: Starting Up – The init Program 16. Chapter 14: Starting with BusyBox runit 17. Chapter 15: Managing Power 18. Section 3: Writing Embedded Applications
19. Chapter 16: Packaging Python 20. Chapter 17: Learning about Processes and Threads 21. Chapter 18: Managing Memory 22. Section 4: Debugging and Optimizing Performance
23. Chapter 19: Debugging with GDB 24. Chapter 20: Profiling and Tracing 25. Chapter 21: Real-Time Programming 26. Other Books You May Enjoy

Summary

Even though you can build just about anything with Yocto, it's not always easy to tell what the build system is doing or how. There is hope for us, though. There are command-line tools to help us find where something came from and how to change it. There are task logs we can read from and write to. There is also devshell, which we can use to configure and compile individual things from the command line. And if we divide our projects into multiple layers from the outset, we are likely to get much more mileage out of the work
we do.

BitBake's mix of shell and Python supports some powerful language constructs, such as inheritance, overrides, and conditional variable selection. That's both good and bad. It's good in the sense that layers and recipes are completely composable and customizable. It's bad in the sense that metadata in different recipe files and different layers can interact in strange and unexpected ways. Combine those powerful language...

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