Functional Programming With Python Comprehensions

Functional Programming With Python Comprehensions
Published 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

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

What you’ll 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.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Imperative vs Declarative

Lecture 2 Programming Paradigms

Lecture 3 Imperative Programming

Lecture 4 Declarative Programming

Section 3: The Cornerstones of Comprehensions

Lecture 5 Action, Source, Condition
Lecture 6 Converting from Imperative to Declarative

Section 4: List Comprehensions

Lecture 7 Our First List Comprehensions

Lecture 8 Passing User Defined Functions as Actions
Lecture 9 Applying a Simple Condition

Lecture 10 Using Complex Conditions

Lecture 11 Passing a User Defined Function as a Condition

Lecture 12 The Walrus Operator

Lecture 13 Using ‘Else’ in a List Comprehension

Lecture 14 Alternatives to Comprehensions

Lecture 15 Experimenting with Actions
Lecture 16 Stop and Code! – List Comprehensions

Section 5: Set Comprehensions

Lecture 17 A Brief Primer on Sets

Lecture 18 Basic Set Comprehensions

Lecture 19 Stop and Code! – Set Comprehensions

Section 6: Generator Comprehensions

Lecture 20 What is a Generator?

Lecture 21 Retrieving Items from your Generator Comprehension

Lecture 22 Stop and Code! – Generator Comprehensions

Section 7: Dictionary Comprehensions

Lecture 23 Dictionary Comprehension Basics

Lecture 24 Applying Functions to Keys/Values

Lecture 25 Using Conditions with Dictionary Comprehensions

Section 8: Nested Comprehensions

Lecture 26 A Comprehension inside a Comprehension – How does that work?

Lecture 27 Nested Comprehensions – Worked Examples

Lecture 28 Stop and Code! – Nested Comprehensions

Section 9: The Monthly Comprehension Challenge – Apply Your Knowledge!

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.