Book Image

Learn Python Programming, 3rd edition - Third Edition

By : Fabrizio Romano, Heinrich Kruger
5 (1)
Book Image

Learn Python Programming, 3rd edition - Third Edition

5 (1)
By: Fabrizio Romano, Heinrich Kruger

Overview of this book

Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries. This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter. The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned.
Table of Contents (18 chapters)
16
Other Books You May Enjoy
17
Index

Anonymous functions

One last type of function that we want to talk about are anonymous functions. These functions, which are called lambdas in Python, are usually used when a fully fledged function with its own name would be overkill, and all we want is a quick, simple one-liner that does the job.

Imagine that we wanted a list of all the numbers up to a certain value of N that are also multiples of five. We could use the filter() function for this, which will require a function and an iterable as input. The return value is a filter object that, when you iterate over it, yields the elements from the input iterable for which the function returns True. Without using an anonymous function, we might do something like this:

# filter.regular.py
def is_multiple_of_five(n):
    return not n % 5
def get_multiples_of_five(n):
    return list(filter(is_multiple_of_five, range(n)))

Note how we use is_multiple_of_five() to filter the first n natural numbers. This seems a bit excessive...