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The Python Workshop Second Edition

You're reading from   The Python Workshop Second Edition Write Python code to solve challenging real-world problems

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804610619
Length 600 pages
Edition 2nd Edition
Languages
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Authors (5):
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Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Graham Lee Graham Lee
Author Profile Icon Graham Lee
Graham Lee
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Python Fundamentals – Math, Strings, Conditionals, and Loops 2. Chapter 2: Python Data Structures FREE CHAPTER 3. Chapter 3: Executing Python – Programs, Algorithms, and Functions 4. Chapter 4: Extending Python, Files, Errors, and Graphs 5. Chapter 5: Constructing Python – Classes and Methods 6. Chapter 6: The Standard Library 7. Chapter 7: Becoming Pythonic 8. Chapter 8: Software Development 9. Chapter 9: Practical Python – Advanced Topics 10. Chapter 10: Data Analytics with pandas and NumPy 11. Chapter 11: Machine Learning 12. Chapter 12: Deep Learning with Python 13. Chapter 13: The Evolution of Python – Discovering New Python Features 14. Index 15. Other Books You May Enjoy

Using defaultdict to get default values

The built-in dictionary type considers it to be an error when you try to access the value for a key that doesn’t exist. It will raise a KeyError, which you have to handle; otherwise, your program will crash. Often, that’s a good idea. If the programmer doesn’t get the key correct, it could indicate a typo or a misunderstanding of how the dictionary is used.

It’s often a good idea, but not always. Sometimes, it’s reasonable that a programmer doesn’t know what the dictionary contains; whether it’s created from a file supplied by the user or the content of a network request, for example. In situations like this, any of the keys the programmer expects could be missing, but handling KeyError instances everywhere is tedious, repetitive, and makes the intent of the code harder to see.

For these situations, Python provides the collections.defaultdict type. It works like a regular dictionary, except...

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