Functional Programming with Python
Created By
Shaun Wassell via LinkedIn Learning
- 1-2 hours worth of material
- LinkedIn Learning
- English
Course Overview
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.
Course Circullum
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
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This Course Include:
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
- Provider:LinkedIn Learning
- Certificate:Certificate Available
- Language:English
- Duration:1-2 hours worth of material
- Language CC: