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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

Summary

This chapter showed you what the Pythonic philosophy is all about and some of the reasoning behind it. Additionally, you have learned about the Zen of Python and what is considered beautiful and ugly within the Python community. While code style is highly personal, Python has a few very helpful guidelines that at least keep people mostly on the same page and style.

In the end, we are all consenting adults; everyone has the right to write code as they sees fit. But I do request that you please read through the style guides and try to adhere to them unless you have a really good reason not to.

With all that power comes great responsibility, and a few pitfalls, though there aren’t too many. Some are tricky enough to fool me regularly and I’ve been writing Python for a long time! Python improves all the time though. Many pitfalls have been taken care of since Python 2, but some will always remain. For example, circular imports and definitions can easily...

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