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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 FREE CHAPTER 2. Interactive Python Interpreters 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

Decorators have a huge range of uses, so you can probably think of some yourself after reading this chapter, but you can easily elaborate on some of the decorators we wrote earlier:

  • Extend the track function to monitor execution time.
  • Extend the track function with min/max/average execution time and call count.
  • Modify the memoization function to function with unhashable types.
  • Modify the memoization function to have a cache per function instead of a global one.
  • Create a version of functools.cached_property that can be recalculated as needed.
  • Create a single-dispatch decorator that considers all or a configurable number of arguments instead of only the first one.
  • Enhance the type_check decorator to include additional checks such as requiring a number to be greater than or less than a given value.

Example answers for these exercises can be found on GitHub: https://github.com/mastering-python/exercises. You are...

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