Book Image

The Python Workshop - Second Edition

By : Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee
4.7 (3)
Book Image

The Python Workshop - Second Edition

4.7 (3)
By: Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
13
Chapter 13: The Evolution of Python – Discovering New Python Features

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...