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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

 8
The Itertools Module

Functional programming emphasizes stateless objects. In Python, this leads us to work with generator expressions, generator functions, and iterables, instead of large, mutable collection objects. In this chapter, we’ll look at elements of the itertools library. This library has numerous functions to help us work with iterable sequences of objects, as well as collection objects.

We introduced iterator functions in Chapter 3, Functions, Iterators, and Generators. In this chapter, we’ll expand on that superficial introduction. We used some related functions in Chapter 5, Higher-Order Functions.

There are a large number of iterator functions in the itertools module. We’ll examine the combinatoric functions in the next chapter. In this chapter, we’ll look at the following three broad groupings of the remaining iterator functions:

  • Functions that work with potentially infinite iterators. These can be applied to any iterable...

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