Book Image

Functional Python Programming, 3rd edition - Third Edition

By : Steven F. Lott
Book Image

Functional Python Programming, 3rd edition - Third Edition

By: Steven F. Lott

Overview of this book

Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you’re a leetcoder preparing for coding interviews, this book is for you. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though – you'll also see how Python's native object orientation is used in conjunction with functional programming techniques. By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.
Table of Contents (18 chapters)
Preface
16
Other Books You Might Enjoy
17
Index

5.8 Building higher-order functions with callables

We can define higher-order functions as callable classes. This builds on the idea of writing generator functions; we’ll write callables because we need stateful features of Python, like instance variables. In addition to using statements, we can also apply a static configuration when creating the higher-order functions. The Strategy design pattern, in particular, works very nicely to alter the features of callable objects.

What’s important about a callable class definition is that the class object, created by the class statement, defines a function that emits a function. Commonly, we’ll use a callable object to create a composite function that combines functions into something relatively complex.

To emphasize this, consider the following class:

from collections.abc import Callable 
from typing import Any 
 
class NullAware: 
    def __init__(self, some_func: Callable[[Any]...