In this course, you'll learn how to approach functional programming in Python. You'll start with the absolute basics of Functional Programming (FP). After that, you'll see hands-on examples for common FP patterns available, like using immutable data structures and the filter(), map(), and reduce() functions. You'll end the course with actionable tips for parallelizing your code to make it run faster.

You'll cover:

What functional programming is
How you can use immutable data structures to represent your data
How to use filter(), map(), and reduce()
How to do parallel processing with multiprocessing and concurrent.futures