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

def fibonacci(): 
    c = 0
    n = 1
    while True:
        yield c
        c, n = n, c + n

for i in fibonacci():
    print(i)
    if i > 100:
        break

# Explanation

We implement our `fibonacci` generator by using a `yield` statement in the function. 

We start by defining two local variables, `c` and `n`. They are initialized to the first two elements of the Fibonacci series, i.e., 0 and 1, respectively. `c` stores the *current* element in the sequence that should be returned by the `yield` statement, whereas `n` stores the *next* element.

As Fibonacci is an infinite sequence, the generator uses a `while True` loop, rather than a `for` loop, on `line 4`.

Have a look at how to create a generator for Fibonacci numbers.

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

Solution Review: Generator for Fibonacci Numbers

Implementation

Explanation