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Mastering Python 2E

You're reading from   Mastering Python 2E Write powerful and efficient code using the full range of Python's capabilities

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Product type Paperback
Published in May 2022
Last Updated in May 2022
Publisher Packt
ISBN-13 9781800207721
Length 710 pages
Edition 2nd Edition
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (21) Chapters Close

Preface 1. Getting Started – One Environment per Project 2. Interactive Python Interpreters FREE CHAPTER 3. Pythonic Syntax and Common Pitfalls 4. Pythonic Design Patterns 5. Functional Programming – Readability Versus Brevity 6. Decorators – Enabling Code Reuse by Decorating 7. Generators and Coroutines – Infinity, One Step at a Time 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. asyncio – Multithreading without Threads 14. Multiprocessing – When a Single CPU Core Is Not Enough 15. Scientific Python and Plotting 16. Artificial Intelligence 17. Extensions in C/C++, System Calls, and C/C++ Libraries 18. Packaging – Creating Your Own Libraries or Applications 19. Other Books You May Enjoy
20. Index

Exercises

Many of the topics discussed in this chapter already gave full examples, leaving little room for exercises. There are additional resources to discover, however.

Reading the Python Enhancement Proposals (PEPs)

A good way to learn more about the topics discussed in this chapter (and all the following chapters) is to read the PEP pages. These proposals were written before the changes were accepted into the Python core. Note that not all of the PEPs on the Python site have been accepted, but they will remain on the Python site:

Combining pyenv and poetry or pipenv

Even though the chapter did not cover it, there is nothing stopping you from telling poetry or pipenv to use a pyenv-based Python interpreter. Give it a try!

Converting an existing project to a poetry project

Part of this exercise should be to either create a brand new pyproject.toml or to convert an existing requirements.txt file to a pyproject.toml.

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