fp_in_python.tar.gz

py3mbe

The functional programming paradigm can be a powerful tool, especially as it can be integrated seamlessly with procedural and object-oriented code in Python. 

In this course, you’ll learn what functional programming is, how it’s used, and the features of Python that support it. To start, you’ll learn how functions act as objects, the role of mutability, and how to perform recursion. 

In the latter half of the course, you’ll focus on closures, iterables & iterators, generators, and more. Throughout the course will be three exams which will test your understanding and really drive home what you’ve learned.  

By the end, you’ll have a new programming paradigm to add under your belt and have the confidence to start using functional programming in your own projects.

Learn Functional Programming in Python

## Multiple function calls
Recursion is relatively inefficient compared to looping. This is because each step in a recursion results in a function call, whereas each step in a loop merely requires a “jump” to a different place in the code. 

# Multiple function calls
Recursion is relatively inefficient compared to looping. This is because each step in a recursion results in a function call, whereas each step in a loop merely requires a “jump” to a different place in the code. 

Let’s learn about the limitations of recursion in Python. Additionally, we’ll also look at the concept of tail recursion.

Introduction

Functions as Objects

Mutability

Recursion

Functional Programming in Python - Exam 1

Closures

Iterators

Transforming Iterables

Reducing Iterables

Functional Programming in Python - Exam 2

Comprehensions

Generators

Partial Application and Currying

Functors and Monads

Functional Programming in Python - Exam 3

Useful Libraries

Conclusion

Recursion Limits and Tail Recursion

Multiple function calls