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Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
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Author (1):
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Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
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Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

Implementing deque


Deques (pronounced decks) are list-like containers that have fast appending and pop values from either end. The name deque comes from this action: double-ended queues. Deques are thread safe, meaning data is manipulated in such a way that all threads behave without overwriting data or otherwise operate with unintended actions. Popped values from either end of the deque have the same performance, regardless of being on the front or the rear of the queue.

For those familiar with big O notation, performance is O(1) for both front- and rear-popped values. For those unfamiliar with big O notation, this just means it takes the same amount of time for a deque to pop a value from the front as it does for the back. This is significant because lists, which have similar operations as the deque, are optimized for quick, fixed-length operations and take a performance hit of O(n) to memory movement when popping and inserting values, as they both modify the size and position of the data...

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