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Introduction

Introduction to Functional Programming Programming Paradigms Functional Programming and Its Characteristics Advantages and Disadvantages of Functional Programming Quiz: Functional Programming

Functions as Objects

Objects and Variables in Python Storing Function Reference in a Variable Aliases Functions as Parameters and Return Values Lambda Functions Function Versions of Standard Operators Summary: Sources of Function Objects Quiz: Functions as Objects

Mutability

Mutability in Python The Problem With Mutable Objects: Accidental Modification Changing Immutable Objects The Problem With Immutable Objects Summary: Mutability in Python Quiz: Mutability in Python

Recursion

Introducing Recursion Factorials Recursion Limits and Tail Recursion Inefficient Recursion: Fibonacci Numbers Memoization Flattening Lists Summary: Recursion Quiz: Recursion

Course Assessment

Functional Programming in Python - Exam 1

Closures

What Is a Closure?Creating Anonymous Functions Composing Functions Using Closures Instead of Classes Using Classes Instead of Closures Closure Inspection Summary: Closures Quiz: Closures

Iterators

What Is an Iterator?Iterables and For Loops Iterators vs Iterables Iterators Use Lazy Evaluation Sequences Realising an Iterator Unpacking an Iterable Creating Your Own Iterator Exercise: Create a Fibonacci Iterator Solution Review: Create a Fibonacci Iterator Built-In Functions Summary: Iterators Quiz: Iterators

Transforming Iterables

Enumerate Zip Filter Map Reversed Sorted Combining Functions Summary: Transforming Iterables Quiz: Transforming Iterables

Reducing Iterables

Max, Any and All

Functools Reduce

Map-Reduce Pattern

Summary: Reducing Iterables

Quiz: Reducing Iterables

Course Assessment

Functional Programming in Python - Exam 2

Comprehensions

List Comprehensions

List Comprehensions Using Conditions

Nested Comprehensions

Summary: Comprehensions

Quiz: Comprehensions

Generators

How a Generator Works: Alphabet Iterator Exercise: Generator for Fibonacci Numbers Solution Review: Generator for Fibonacci Numbers Chaining Iterators Generator Comprehensions Summary: Generators Quiz: Generators

Partial Application and Currying

Closures and Partial Application Partial Application With functools.partial Applying Keyword Arguments Currying When to Use Currying?Composition Creating a Compose Function Libraries Supporting Composition Summary: Partial Application and Currying Quiz: Partial Application and Currying

Functors and Monads

Introducing Functors, Applicatives, and Monads Functors Applicative Functors Monads Summary: Functors and Monads Quiz: Functors and Monads

Course Assessment

Functional Programming in Python - Exam 3

Useful Libraries

Itertools Functools, PyMonad, and Oslash

Conclusion

Learn Functional Programming in Python

List Comprehensions Using Conditions

Learn how to use a list comprehension with a condition.

We'll cover the following...

Imagine you want to find the square root of every value in a list, but you want to ignore any negative values so ...