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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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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 (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 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. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Summary

In this chapter, you learned the most important aspects of writing code that uses ctypes, CFFI, and how to extend the Python functionality using native C. These topics can be extensive enough to fill books on their own, but you should have a grasp of the most important topics now. Even though you are able to create C/C++ extensions now, I still recommend that you avoid these as much as possible. This is because bugs are so easily made by not being careful enough. It is actually likely that at least some of the examples given in this chapter contain bugs when it comes to memory management and can crash your Python interpreter when given the wrong input. Unfortunately, this is a side effect of C. A tiny mistake can have a huge impact.

While building the examples in this chapter, you may have noticed that we used a setup.py file and imported from the setuptools library. This is what the next chapter will cover—packaging your code into an installable Python library and distributing...

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