Book Image

Mastering Embedded Linux Programming - Third Edition

By : Frank Vasquez, Chris Simmonds
5 (3)
Book Image

Mastering Embedded Linux Programming - Third Edition

5 (3)
By: Frank Vasquez, Chris Simmonds

Overview of this book

If you’re looking for a book that will demystify embedded Linux, then you’ve come to the right place. Mastering Embedded Linux Programming is a fully comprehensive guide that can serve both as means to learn new things or as a handy reference. The first few chapters of this book will break down the fundamental elements that underpin all embedded Linux projects: the toolchain, the bootloader, the kernel, and the root filesystem. After that, you will learn how to create each of these elements from scratch and automate the process using Buildroot and the Yocto Project. As you progress, the book will show you how to implement an effective storage strategy for flash memory chips and install updates to a device remotely once it’s deployed. You’ll also learn about the key aspects of writing code for embedded Linux, such as how to access hardware from apps, the implications of writing multi-threaded code, and techniques to manage memory in an efficient way. The final chapters demonstrate how to debug your code, whether it resides in apps or in the Linux kernel itself. You’ll also cover the different tracers and profilers that are available for Linux so that you can quickly pinpoint any performance bottlenecks in your system. By the end of this Linux book, you’ll be able to create efficient and secure embedded devices using Linux.
Table of Contents (27 chapters)
1
Section 1: Elements of Embedded Linux
10
Section 2: System Architecture and Design Decisions
18
Section 3: Writing Embedded Applications
22
Section 4: Debugging and Optimizing Performance

Retracing the origins of Python packaging

The Python packaging landscape is a vast graveyard of failed attempts and abandoned tools. Best practices around dependency management change often within the Python community and the recommended solution one year may be a broken nonstarter the next. As you research this topic, remember to look at when the information was published and do not trust any advice that may be out of date.

Most Python libraries are distributed using distutils or setuptools, including all the packages found on the Python Package Index (PyPI). Both distribution methods rely on a setup.py project specification file that the package installer for Python (pip) uses to install a package. pip can also generate or freeze a precise list of dependencies after
a project is installed. This optional requirements.txt file is used by pip in conjunction with setup.py to ensure that project installations are repeatable.

distutils

distutils is the original packaging system...