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

# `min` function
 
`min` accepts an iterable and returns the minimum value from the iterable. For example: 



The iterable can contain items of any type, provided they can be compared with each other. For example, it can contain strings or lists, which will be compared in a standard way. Here is an example with lists: 



a = [[1, 2, 3], [1, 1, 5], [6, 7, 8], [1, 1, 5]] 
print(min(a)) # [1, 1, 5]

 
Lists are compared element by element, so `[1, 1, 5]` is less than `[1, 2, 3]`. You might also notice that there are two lists with the value of `[1, 1, 5]`. If two different objects happen to have the same value, `min` will always return the first object in that case. 

# `default` argument 

If you call `min` on an empty iterable, you will get a `ValueError` exception. You can avoid it using the `default` argument. This is a #key# keyword-only argument: Arguments that can only be supplied by keyword and which will never be automatically filled in by a positional argument. #key#, that is used as follows: 


Let’s look at how to use the reducing function, "min", on iterables.

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

Min

`min` function

Functional Programming in Python - Exam 1

Functional Programming in Python - Exam 2

Functional Programming in Python - Exam 3

Min

min function

`min` function