Functional Programming with Python Comprehensions

Functional Programming with Python: Harness the Power of Comprehensions for Clearer, Concise, and Efficient Code.

Created by: James Clare
Software Engineer with 12+ Years Teaching Experience

What Will I Learn?

• How to understand and apply the 'action source condition' model of comprehensions.
• The difference between imperative and declarative programming styles.
• How to identify, write and use functional code.
• How to create clean, concise list, set and dictionary comprehensions.
• How to create and use generator comprehensions.
• How to create and use nested comprehensions.
• How to solve job interview style questions using functional code.
• List Comprehensions
• Set Comprehensions
• Dictionary Comprehensions
• Generator Comprehensions
• Lazy Evaluation
• Declarative Programming
• Functional Programming
• Immutability

Requirements

• Some basic Python would be ideal, such as a good understanding of the syntax, basic data types and loops.

Target audience

• This course is for beginner/intermediate Python programmers wanting to include functional programming concepts in their code.
• Programmers wanting to learn how to use comprehensions in their programs.
• Programmers wanting to understand how to use declarative code, and be able to translate code from imperative to declarative.
• Programmers wanting to prepare for job interviews and careers where clean functional code is common place.