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Functional Python Programming, 3rd edition - Third Edition

You're reading from  Functional Python Programming, 3rd edition - Third Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781803232577
Pages 576 pages
Edition 3rd Edition
Languages
Author (1):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott

Table of Contents (18) Chapters

Preface
1. Chapter 1: Understanding Functional Programming 2. Chapter 2: Introducing Essential Functional Concepts 3. Chapter 3: Functions, Iterators, and Generators 4. Chapter 4: Working with Collections 5. Chapter 5: Higher-Order Functions 6. Chapter 6: Recursions and Reductions 7. Chapter 7: Complex Stateless Objects 8. Chapter 8: The Itertools Module 9. Chapter 9: Itertools for Combinatorics – Permutations and Combinations 10. Chapter 10: The Functools Module 11. Chapter 11: The Toolz Package 12. Chapter 12: Decorator Design Techniques 13. Chapter 13: The PyMonad Library 14. Chapter 14: The Multiprocessing, Threading, and Concurrent.Futures Modules 15. Chapter 15: A Functional Approach to Web Services 16. Other Books You Might Enjoy
17. Index

2.1 Functions as first-class objects

Functional programming is often succinct and expressive. One way to achieve this is by providing functions as arguments and return values for other functions. We’ll look at numerous examples of manipulating functions.

For this to work, functions must be first-class objects in the runtime environment. In programming languages such as C, a function is not a runtime object; because the compiled C code generally lacks internal attributes and methods, there’s little runtime introspection that can be performed on a function. In Python, however, functions are objects that are created (usually) by def statements and can be manipulated by other Python functions. We can also create a function as a callable object or by assigning a lambda object to a variable.

Here’s how a function definition creates an object with attributes:

>>> def example(a, b, **kw): 
...     return a*b 
... 
>>> type(example) ...
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