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Functional Python Programming

You're reading from   Functional Python Programming Create succinct and expressive implementations with functional programming in Python

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (18) Chapters Close

Preface 1. Introducing Functional Programming FREE CHAPTER 2. Introducing Some Functional Features 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 Index

Writing pure functions


A pure function has no side effects: there are no global changes to variables. If we avoid the global statement, we will almost meet this threshold. We also need to avoid changing the state mutable objects. We'll look at a number of ways of ensuring these two aspects of pure functions. A reference to a value in the Python global using a free variable is something we can rework into a proper parameter. In most cases, it's quite easy.

Here is an example where the usage of the global statement is explained:

    def some_function(a, b, t):
        return a+b*t+global_adjustment

We can refactor this function to make the global_adjustment variable into a proper parameter. We would need to change each reference to this function, which might have a large ripple effect through a complex application. A global reference will be visible as a free variable in the body of a function. There will be neither a parameter nor an assignment for this variable, making it reasonably clear...

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