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The Python Workshop Second Edition - Second Edition

You're reading from  The Python Workshop Second Edition - Second Edition

Product type Book
Published in Nov 2022
Publisher Packt
ISBN-13 9781804610619
Pages 600 pages
Edition 2nd Edition
Languages
Authors (5):
Corey Wade Corey Wade
Profile icon Corey Wade
Mario Corchero Jiménez Mario Corchero Jiménez
Profile icon Mario Corchero Jiménez
Andrew Bird Andrew Bird
Profile icon Andrew Bird
Dr. Lau Cher Han Dr. Lau Cher Han
Profile icon Dr. Lau Cher Han
Graham Lee Graham Lee
Profile icon Graham Lee
View More author details

Table of Contents (16) Chapters

Preface 1. Chapter 1: Python Fundamentals – Math, Strings, Conditionals, and Loops 2. Chapter 2: Python Data Structures 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

Recursive functions

When a function calls itself, this is known as a recursive function. This is similar to for loops; however, recursive functions allow you to write more elegant and terse functions than can be achieved with a loop.

You may imagine that a function that calls itself recursively might end up in an infinite loop; you can write a recursive function that will keep running indefinitely, as shown here:

def print_the_next_number(start):
        print(start + 1)
        return print_the_next_number(start + 1)
print_the_next_number(5)

The output starts as follows:

6
7
8
9
10
11

Note

This output is truncated.

If you run this code in a Python shell, it will continue printing integers until you interrupt the interpreter (Ctrl + C); in a Jupyter Notebook, you can interrupt or restart the kernel under the Kernel tab. Take a look at the preceding code and ensure you understand why...

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