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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

Functional composition and currying

Some functional languages work by transforming a multiargument function syntax into a collection of single argument functions. This process is called currying: it's named after logician Haskell Curry, who developed the theory from earlier concepts.

Currying is a technique for transforming a multiargument function into higher-order single argument functions. In a simple case, consider a function ; given two arguments x and y; this will return some resulting value, z. We can curry into into two functions: and . Given the first argument value, x, evaluating the function  returns a new one-argument function, . This second function can be given the second argument value, y, and it returns the desired result, z.

We can evaluate a curried function in Python as follows: f_c(2)(3). We apply the curried function to the first argument...

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