Functional Programming - contents

Martin McBride, 2019-09-11
Categories functional programming

This section covers topics on functional programming (FP) in Python. Here is a list of the articles.

Introduction

• Introduction to functional programming - an overview of functional programming in Python.

Iterators

• Iterators - an introduction to iterators, iterables and lazy evaluation.
• Iterators vs iterables - the difference between an iterable and an iterator.
• Built-in functions on iterables - an overview of the functions built in to Python for transforming, reducing and converting iterables.
• Transforming iterables - details of the built-in functions for transforming iterables - mao, filter, zip and others.
• Map/reduce example - a practical example of the map/reduce pattern.
• Generators - using generators to easily create your won iterators.

Functions

• Functions - how Python functions relate to functional programming.
• Pure functions - pure functions are a mainstay of functional programming, but what exactly is a pure function?

See also

If you found these article useful you might be interested in my ebook Functional Programming in Python.

Next

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functional programming

1. Contents
2. Introduction
3. Functions
4. - Pure functions
5. Iterators
6. - Iterators vs iterables
7. - Built-in functions on iterables
8. - Transforming iterables
9. - Map/reduce example
10. - Generators
11. Functional design patterns
12. - Recursion
13. - Partial application
14. - Closures
15. Monads
16. - Failure monad
17. - List monad
18. - Maybe monad

See also

1. Recent articles
2. All articles
3. All tags
4. All categories

Books

1. NumPy Recipes
2. Functional Programming in Python
3. Computer graphics (PyCairo)

Links

1. twitter
2. schoolcoders.com

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