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

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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

Imagine you want to find the square root of every value in a list, but you want to ignore any negative values so that they don’t even appear in the output list. Here is how you might do it with a loop:

import math

k = [-1, 16, 9, -4, 0, 25]
a = []
for x in k:
  if x>=0:
    a.append(math.sqrt(x))
    
print(a)

You will also need to import `math` at the start of all these examples. The result will be:
```python
[4.0, 3.0, 0.0, 5.0]
```

As expected, there are six values in the input list `k`, but only four in the output list, `a`, because the two negative values are excluded.

Here is the equivalent functionality using `map`. We use `filter` to remove the negative values before we take the square root.

Learn how to use a list comprehension with a condition.

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

List Comprehensions Using Conditions