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Modern Python Cookbook

You're reading from   Modern Python Cookbook The latest in modern Python recipes for the busy modern programmer

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786469250
Length 692 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Numbers, Strings, and Tuples FREE CHAPTER 2. Statements and Syntax 3. Function Definitions 4. Built-in Data Structures – list, set, dict 5. User Inputs and Outputs 6. Basics of Classes and Objects 7. More Advanced Class Design 8. Input/Output, Physical Format, and Logical Layout 9. Testing 10. Web Services 11. Application Integration Index

Avoiding mutable default values for function parameters


In Chapter 3, Function Definitions, we looked at many aspects of Python function definitions. In the Designing functions with optional parameters recipe we showed a recipe for handling optional parameters. At the time, we didn't dwell on the issue of providing a reference to a mutable structure as a default. We'll take a close look at the consequences of a mutable default value for a function parameter.

Getting ready

Let's imagine a function that either creates or updates a mutable Counter object. We'll call it gather_stats().

Ideally, it could look like this:

>>> from collections import Counter 
>>> from random import randint, seed 
>>> def gather_stats(n, samples=1000, summary=Counter()): 
...     summary.update( 
...         sum(randint(1,6) for d in range(n)) 
...             for _ in range(samples)) 
...     return summary

This shows a bad design for a function with two stories...

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