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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 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

Pythonic Syntax and Common Pitfalls

In this chapter, you will learn how to write Pythonic code, along with finding out about some of the common pitfalls of Python and how to work around them. The pitfalls range from passing a list or dictionary (which are mutable) as an argument to more advanced pitfalls, such as late-binding in closures. You will also see how to fix or work around circular imports in a clean way. Some of the techniques used in the examples in this chapter might seem a bit too advanced for such an early chapter. Do not worry, though, as the inner workings will be covered later on.

We will explore the following topics in this chapter:

  • Code style (PEP 8, pyflakes, flake8, and more)
  • Common pitfalls (lists as function arguments, pass by value versus pass by reference, and inheritance behavior)

The definition of Pythonic code used in this chapter is based on commonly accepted coding guidelines and my subjective opinions. When working...

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