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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

Core collections

Before we can look at the more advanced combined collections later in this chapter, you need to understand the workings of the core Python collections. This is not just about their usage; it is also about the time complexities involved, which can strongly affect how your application will behave as it grows. If you are well versed in the time complexities of these objects and know the possibilities of Python 3’s tuple packing and unpacking by heart, then feel free to jump to the Advanced collections section.

list – A mutable list of items

The list is most likely the container structure that you’ve used most in Python. It is simple in terms of its usage, and for most cases, it exhibits great performance.

While you may already be very familiar with the usage of list, you might not be aware of the time complexities of the list object. Luckily, many of the time complexities of list are very low; append, get operations, set operations, and...

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