Functional Programming With Python

Learning Path ⋅ Skills: Python, Functional Programming, Lambda Functions, Built-in Functions, Map, Filter, Reduce, Scope, Decorators, Recursion, Code Efficiency, Readability

A smiling person with their hands crossed, looking at a machine that displays the names of the functions map, filter, and reduce

Unlock the power of functional programming in Python! From lambda functions to built-in functions like map() and filter(), and advanced topics like closures, decorators, and recursion. This path will elevate your coding skills and make your code more efficient and readable.

Functional Programming With Python

Learning Path ⋅ 13 Resources

Tutorial

Functional Programming in Python: When and How to Use It

Learn about functional programming in Python. You'll see what functional programming is, how it's supported in Python, and how you can use it in your Python code.

Interactive Quiz

Functional Programming in Python: When and How to Use It

Course

Using Python Lambda Functions

Learn about Python lambda functions. You'll see how they compare with regular functions and how you can use them in accordance with best practices.

Interactive Quiz

Python Lambda Functions

Tutorial

Python's Built-in Functions: A Complete Exploration

Learn the basics of working with Python's numerous built-in functions. You'll explore how to use these predefined functions to perform common tasks and operations, such as mathematical calculations, data type conversions, and string manipulations.

Interactive Quiz

Python's Built-in Functions: A Complete Exploration

Course

Python any(): Powered Up Boolean Function

If you've ever wondered how to simplify complex conditionals by determining if at least one in a series of conditions is true, then look no further. This video course will teach you all about how to use any() in Python to do just that.

Tutorial

Python's all(): Check Your Iterables for Truthiness

Learn how to use Python's all() function to check if all the items in an iterable are truthy. You'll also code various examples that showcase a few interesting use cases of all() and highlight how you can use this function in Python.

Course

Python's map() Function: Transforming Iterables

Learn how Python's map() works and how to use it effectively in your programs. You'll also learn how to use list comprehension and generator expressions to replace map() in a Pythonic and efficient way.

Course

Filtering Iterables With Python

Learn how Python's filter() works and how to use it effectively in your programs. You'll also learn how to use list comprehension and generator expressions to replace filter() and make your code more Pythonic.

Tutorial

Python's reduce(): From Functional to Pythonic Style

Learn how Python's reduce() works and how to use it effectively in your programs. You'll also learn some more modern, efficient, and Pythonic ways to gently replace reduce() in your programs.

Tutorial

Python Scope & the LEGB Rule: Resolving Names in Your Code

Learn what scopes are, how they work, and how to use them effectively to avoid name collisions in your code. Additionally, you'll learn how to take advantage of a Python scope to write more maintainable and less buggy code.

Course

Python Decorators 101

In this course on Python decorators, you'll learn what they are and how to create and use them. Decorators provide a simple syntax for calling higher-order functions in Python. By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it.