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.

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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

In cases where you feel that there are multiple correct answers, choose all of them.

Let's begin!

Which of the following programming paradigms are supported by Python?

Which of the following programming paradigms are supported by Python?

Functional programming uses ________ as the fundamental building blocks.

Functional programming uses ________ as the fundamental building blocks.

Functional programming does not treat functions as objects.

Functional programming does not treat functions as objects.

Functional programming is more ________.

Passed into other functions as parameters

Returned from other functions as a result

In functional programming, functions can be: 

In functional programming, functions can be:

Higher-order functions are functions that operate on functions.

Higher-order functions are functions that operate on functions.

Which of the following is an example of a pure function?


Which of the following is an example of a pure function?

Pure functions are allowed to alter the state of the system.

Pure functions are allowed to alter the state of the system.

Does functional programming prefer immutable objects?

Does functional programming prefer immutable objects?

Iterators do not have the ability to change data.

Iterators use lazy evaluation, so there is no need to store intermediate results.

Why does functional programming prefer iterators over lists?

Why does functional programming prefer iterators over lists?

Functional programming uses recursion to avoid loops.

Functional programming uses recursion to avoid loops.

Its declarative nature makes the intent of the code more clear. 

What are the advantages of functional programming?

What are the advantages of functional programming?

It prefers pure functions, and not all functions can pure. 

It can be inefficient for very large problems.

What are the disadvantages of functional programming?

What are the disadvantages of functional programming?

Test your understanding of the introductory concepts of functional programming.

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

Quiz: Functional Programming