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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

Using strings

Since Python strings are immutable, they're an excellent example of functional programming objects. A Python string module has a number of methods, all of which produce a new string as the result. These methods are pure functions with no side effects.

The syntax for string method functions is postfix, where most functions are prefix. This means that complex string operations can be hard to read when they're commingled with conventional functions.

When scraping data from a web page, we might have a cleaner function that applies a number of transformations to a string to clean up the punctuation and return a Decimal object for use by the rest of the application. This will involve a mixture of prefix and postfix syntax.

It might look like the following command snippet:

from decimal import *
def clean_decimal(text):
    if text is None: return text
    try:
        return Decimal(text.replace("$", "").replace(",", ""))
    except InvalidOperation...
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