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Mastering Embedded Linux Development

You're reading from   Mastering Embedded Linux Development Craft fast and reliable embedded solutions with Linux 6.6 and The Yocto Project 5.0 (Scarthgap)

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781803232591
Length 710 pages
Edition 4th Edition
Tools
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Authors (2):
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Frank Vasquez Frank Vasquez
Author Profile Icon Frank Vasquez
Frank Vasquez
Chris Simmonds Chris Simmonds
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Chris Simmonds
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Toc

Table of Contents (28) Chapters Close

Preface 1. Part 1: Elements of Embedded Linux
2. Starting Out FREE CHAPTER 3. Learning about Toolchains 4. All about Bootloaders 5. Configuring and Building the Kernel 6. Building a Root Filesystem 7. Part 2: Building Embedded Linux Images
8. Selecting a Build System 9. Developing with Yocto 10. Yocto under the Hood 11. Part 3: System Architecture and Design Decisions
12. Creating a Storage Strategy 13. Updating Software in the Field 14. Interfacing with Device Drivers 15. Prototyping with Add-On Boards 16. Starting Up – The init Program 17. Managing Power 18. Part 4: Developing Applications
19. Packaging Python 20. Deploying Container Images 21. Learning about Processes and Threads 22. Managing Memory 23. Part 5: Debugging and Optimizing Performance
24. Debugging with GDB 25. Profiling and Tracing 26. Real-Time Programming 27. Index

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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