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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 namedtuple


Using namedtuple, a developer can give meaning to each item in a tuple and allow the tuple's fields to be accessed by name rather than by index value. This allows for more readable and better self-documenting code. Named tuples can be used in place of regular tuples with no adverse effects.

Named tuples can be thought of as using dictionary-type key:value pairs, except in a tuple. It's not a true mapping of key to value, because named tuples are simply assigning a name to a sequence index position, that is, name=value, but it may help to conceptually think of them as unchanging mapped pairs. Named positions can be called by name or by position index.

namedtuple is generated using the following command format:

collections.namedtuple(typename, field_names, *, verbose=False, rename=False, module=None)

The following is an explanation of the parts of the preceding command:

  • typename: The name of the tuple subclass being created. Subclass instances automatically generate docstrings...
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