Write more readable, maintainable code by making the switch to functional programming. Learn about the key concepts of functional programming and how to apply them in Python.
Overview
Syllabus
Introduction
- A functional approach to transform code
- What you should know
- Installing Python
- The goal of functional programming
- Declarative versus imperative programming
- Immutability
- Separation of data and functions
- First-class functions
- Functions as data, part 1
- Functions as data, part 2
- Passing functions as arguments
- Returning functions
- Closure
- Higher-order functions
- Python: The functional parts
- Mapping
- Filtering
- Lambdas in Python
- List comprehensions in Python
- Reducing
- Combining list functions
- Challenge: Converting to list comprehensions
- Solution: Converting to list comprehensions
- Advanced functional concepts
- Partial application and currying
- Recursion
- Go further
Taught by
Shaun Wassell
