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Functional Python Programming, 3rd edition

Functional Python Programming, 3rd edition

By : Steven F. Lott
4.5 (28)
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Functional Python Programming, 3rd edition

Functional Python Programming, 3rd edition

4.5 (28)
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)
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Preface
16
Other Books You Might Enjoy
17
Index

5.10 Summary

In this chapter, we have seen two reductions that are higher-order functions: max() and min(). We looked at the two central higher-order functions, map() and filter(). We also looked at sorted().

In addition, we looked at how to use a higher-order function to transform the structure of data. We can perform several common transformations, including wrapping, unwrapping, flattening, and structuring sequences of different kinds.

We looked at two ways to define our own higher-order functions, which are as follows:

  • The def statement. Similar to a lambda form that we assign to a variable.

  • Defining a callable class as a kind of function that emits composite functions.

We can also use decorators to emit composite functions. We’ll return to this in Chapter 12, Decorator Design Techniques.

In the next chapter, we’ll look at the idea of purely functional iteration via recursion. We’ll use Pythonic structures to make several common improvements over purely...

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