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Mastering Embedded Linux Programming - Third Edition

You're reading from  Mastering Embedded Linux Programming - Third Edition

Product type Book
Published in May 2021
Publisher Packt
ISBN-13 9781789530384
Pages 758 pages
Edition 3rd Edition
Languages
Authors (2):
Frank Vasquez Frank Vasquez
Profile icon Frank Vasquez
Chris Simmonds Chris Simmonds
Profile icon Chris Simmonds
View More author details

Table of Contents (27) Chapters

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

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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