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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
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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

The most important point of this chapter is to teach you how metaclasses work internally: a metaclass is just a class that creates a class, which, in turn, is created by another metaclass (eventually ending up recursively at type). If you want to challenge yourself, however, there is more you can do with metaclasses:

  • Validation is one of the most prominent examples of where metaclasses can be useful. You can validate to check if attributes/methods are available, you can check if required classes are inherited, and so on. The possibilities are endless.
  • Build a metaclass that wraps every method with a decorator (could be useful for logging/debugging purposes), something with a signature like this:
    class SomeClass(metaclass=WrappingMeta, wrapper=some_wrapper):
    

Example answers for these exercises can be found on GitHub: https://github.com/mastering-python/exercises. You are encouraged to submit your own solutions and learn about...

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