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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Recursive functions

When a function calls itself to produce a result, it is said to be recursive. Sometimes recursive functions are very useful, in that they make it easier to write the logic. Some algorithms are very easy to write using recursion, while others are not. There is no recursive function that cannot be rewritten in an iterative fashion, so it is usually up to the programmer to choose the best approach for the case at hand.

The body of a recursive function usually has two sections: one where the return value depends on a subsequent call to itself, and one where it does not (called the base case).

As an example, we can consider the (hopefully now familiar) factorial function, N!. The base case is when N is either 0 or 1—the function returns 1 with no need for further calculation. On the other hand, in the general case, N! returns the product:

1 * 2 * ... * (N-1) * N 

If you think about it, N! can be rewritten like this: N! = (N-1)! * N. As a practical...

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