Gain insights into functional programming in Python, learn about functions as objects, recursion, closures, and generators, and discover how to confidently apply these concepts to your projects.

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

# The costs associated with immutable objects

Although immutable objects solve a lot of problems with accidental modification of data as it is passed around in a program, it comes at a cost: 
- You may need to jump through a few hoops if you need to process the data. 
- You may end up making several copies of the data. 

In many cases, it is worth using immutable data wherever possible for the sake of robustness. The main exception is for processing very large data structures. In that case, making a full copy of the data every time you make any change is just not practical. You are better off using mutable data, and simply taking extra care about when and where it is modified. 


Let’s find out about the problem we face with immutable objects in this lesson.

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

The Problem With Immutable Objects

The costs associated with immutable objects