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  • Book Overview & Buying Mastering Embedded Linux Development
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Mastering Embedded Linux Development

Mastering Embedded Linux Development - Fourth Edition

By : Frank Vasquez, Chris Simmonds
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Mastering Embedded Linux Development

Mastering Embedded Linux Development

By: Frank Vasquez, Chris Simmonds

Overview of this book

Mastering Embedded Linux Development is designed to be both a learning resource and a reference for your embedded Linux projects. In this fourth edition, you'll learn the fundamental elements that underpin all embedded Linux projects: the toolchain, the bootloader, the kernel, and the root filesystem. First, you will download and install a pre-built toolchain. After that, you will cross-compile each of the remaining three elements from scratch and learn to automate the process using Buildroot and the Yocto Project. The book progresses with coverage of over-the-air software updates and rapid prototyping with add-on boards. Two new chapters tackle modern development practices, including Python packaging and deploying containerized applications. These are followed by a chapter on writing multithreaded code and another on techniques to manage memory efficiently. The final chapters demonstrate how to debug your code, whether it resides in user space or in the Linux kernel itself. In addition to GNU debugger (GDB), the book also covers 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 book, you will be able to create efficient and secure embedded devices with Linux that will delight your users.
Table of Contents (28 chapters)
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1
Part 1: Elements of Embedded Linux
7
Part 2: Building Embedded Linux Images
11
Part 3: System Architecture and Design Decisions
18
Part 4: Developing Applications
23
Part 5: Debugging and Optimizing Performance

Managing Python virtual environments with venv

A virtual environment is a self-contained directory tree containing a Python interpreter for a particular version of Python, a pip executable for managing project dependencies, and a local site-packages directory. Switching between virtual environments tricks the shell into thinking that the only Python and pip executables available are the ones present in the active virtual environment. Best practice dictates that you create a different virtual environment for each of your projects. This form of isolation solves the problem of two projects depending on different versions of the same package.

Virtual environments are not new to Python. The system-wide nature of Python installations necessitates them. Besides enabling you to install different versions of the same package, virtual environments also provide an easy way for you to run multiple versions of the Python interpreter. Several options exist for managing Python virtual environments...

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Mastering Embedded Linux Development
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