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

Functional programming prefers iterables over lists because there is less risk of side effects. We often need to transform an iterable stream in some way, and Python provides a number of standard functions to do that. 

## Example: using `enumerate` to iterate a tuple

You may have seen the `enumerate` function used in a for loop like this: 

Functional programming prefers iterables over lists because there is less risk of side effects. We often need to transform an iterable stream in some way, and Python provides a number of standard functions to do that. 

# Example: using `enumerate` to iterate a tuple

You may have seen the `enumerate` function used in a for loop like this: 

Learn about the transforming function, called "enumerate", that transforms an iterable stream.

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

Enumerate

Example: using `enumerate` to iterate a tuple