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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

Summary

Functional programming is a paradigm that scares many people initially, but really it shouldn’t. The most important difference between functional and procedural programming (within Python) is the mindset. Everything is executed using simple functions that depend only on their input variables and don’t produce any side effects outside of the local scope.

The main advantages are:

  • Because there are fewer side-effects and code influencing each other, you will get fewer bugs.
  • Because the functions always have a predictable input and output, they can be easily parallelized across multiple processors or even multiple machines.

This chapter covered the basics of functional programming within Python and a tiny portion of the mathematics behind it. In addition to this, some of the many useful libraries that can be used in a very convenient way by using functional programming were covered.

The most important takeaways should be the following...

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