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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

3.1 Writing pure functions

In Chapter 2, Introducing Essential Functional Concepts, we looked at pure functions. In this section, we’ll look at a common problem with non-functional programming: a function that has a reference to a global variable. When a global variable is assigned, the global statement will be used. When a global variable is read, however, this is called a free variable, and there’s no obvious marker in the Python code.

Any references to values in the Python global namespace (using a free variable) is something we can rework into a proper parameter. In most cases, it’s quite easy. Here is an example that depends on a free variable:

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

After refactoring the function, we would need to change each reference to this function. This may have a ripple effect through a complex application. We&...

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