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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example 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 code. Some algorithms are very easy to write using the recursive paradigm, while others are not. There is no recursive function that cannot be rewritten in an iterative fashion, so it's usually up to the programmer to choose the best approach for the case at hand.

A recursive function usually has a set of base cases for which the return value doesn't depend on a subsequent call to the function itself and a set of recursive cases, for which the return value is calculated with one or more calls to the function itself.

As an example, we can consider the (hopefully familiar by now) 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...

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