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Functional Python Programming

You're reading from   Functional Python Programming Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788627061
Length 408 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Preface 1. Understanding Functional Programming FREE CHAPTER 2. Introducing Essential Functional Concepts 3. Functions, Iterators, and Generators 4. Working with Collections 5. Higher-Order Functions 6. Recursions and Reductions 7. Additional Tuple Techniques 8. The Itertools Module 9. More Itertools Techniques 10. The Functools Module 11. Decorator Design Techniques 12. The Multiprocessing and Threading Modules 13. Conditional Expressions and the Operator Module 14. The PyMonad Library 15. A Functional Approach to Web Services 16. Optimizations and Improvements 17. Other Books You May Enjoy

Enumerating the Cartesian product


The term Cartesian product refers to the idea of enumerating all the possible combinations of elements drawn from a number of sets.

Mathematically, we might say that the product of two sets,

, has 52 pairs, as follows:

{(1, C), (1, D), (1, H), (1, S), 
 (2, C), (2, D), (2, H), (2, S), 
..., 
 (13, C), (13, D), (13, H), (13, S)}

We can produce the preceding results by executing the following commands:

>>> list(product(range(1, 14), '♣♦♥♠'))
[(1, '♣'), (1, '♦'), (1, '♥'), (1, '♠'), 
 (2, '♣'), (2, '♦'), (2, '♥'), (2, '♠'),
... 
 (13, '♣'), (13, '♦'), (13, '♥'), (13, '♠')]

The calculation of a product can be extended to any number of iterable collections. Using a large number of collections can lead to a very large result set.

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