Functional Programming with Python

Course details

Functional programming offers developers a more effective way of writing readable, maintainable code. In this course, Shaun Wassell helps Python developers get up to speed with this increasingly popular programming paradigm, explaining what it is and how adopting it can help you improve the quality and maintainability of your code. Shaun begins by covering the key differences between the declarative and imperative programming paradigms. He then dives into the basics of working with first-class functions in Python, as well as the built-in functions and features in Python that support functional programming. Plus, he goes over several advanced concepts, including partial application and recursion.

Topics include:
- Why functional programming is effective
- Comparing declarative and imperative programming
- First-class functions and how to use them
- Built-in functions that support functional programming
- Advanced topics such as recursion and currying

Concepts

0. Introduction

01 - A functional approach to transform code
02 - What you should know
03 - Installing Python

1. Introductory Functional Concepts

04 - The goal of functional programming
05 - Declarative versus imperative programming
06 - Immutability
07 - Separation of data and functions
08 - First-class functions

2. First-Class Functions

09 - Functions as data, part 1
10 - Functions as data, part 2
11 - Passing functions as arguments
12 - Returning functions
13 - Closure
14 - Higher-order functions

3. Python - The Functional Parts

15 - Python - The functional parts
16 - Mapping
17 - Filtering
18 - Lambdas in Python
19 - List comprehensions in Python
20 - Reducing
21 - Combining list functions
22 - Challenge - Converting to list comprehensions
23 - Solution - Converting to list comprehensions

4. Advanced Functional Concepts

24 - Advanced functional concepts
25 - Partial application and currying
26 - Recursion

Conclusion

27 - Go further

Functional Programming with Python

Authors

Shaun Wassell