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

# Unpacking an iterable to a parameter list 



Here is a simple function that multiplies three numbers:


```python3
def mult3(a, b, c): 
    return a*b*c 

x = mult3(2, 3, 5) # 30 
``` 
Suppose the arguments you needed were already in a list. You can use the unpacking operator, `*`, to “unpack” the values, as shown below.

def mult3(a, b, c): 
    return a*b*c 

p = [2, 3, 5] 
x = mult3(*p) # equivalent to mult3(2, 3, 5)

print(x)

In this case, `*p` is equivalent to taking the elements in `p` and passing them in as three separate arguments. 

This doesn’t just work with sequences, like lists and tuples. It will work with any iterable. Python will realize the iterable and pass the resulting elements into the function as separate arguments. To use our rounding example again: 

Learn how to unpack an iterable into a parameter list or a sequence using the  * operator.

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

Unpacking an Iterable

Unpacking an iterable to a parameter list