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

Installing precompiled binaries with conda

conda is a package and virtual environment management system used by the Anaconda distribution of software for the PyData community. The Anaconda distribution includes Python as well as binaries for several hard-to-build open source projects such as PyTorch and TensorFlow. conda can be installed without the full Anaconda distribution, which is very large, or the minimal Miniconda distribution, which is still over 256 MB.

Even though it was created for Python shortly after pip, conda has evolved into
a general-purpose package manager like APT or Homebrew. Now, it can be used to package and distribute software for any language. Because conda downloads precompiled binaries, installing Python extension modules is a breeze. Another one of conda's
big selling points is that it is cross-platform, with full support for Linux, macOS,
and Windows.

Besides package management, conda is also a full-blown virtual environment manager. Conda virtual...