Functional Programming with Python Comprehensions

Functional Programming with Python Comprehensions, available at $19.99, has an average rating of 4.95, with 28 lectures, 27 quizzes, based on 36 reviews, and has 276 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is for beginner/intermediate Python programmers wanting to include functional programming concepts in their code. or Programmers wanting to learn how to use comprehensions in their programs. or Programmers wanting to understand how to use declarative code, and be able to translate code from imperative to declarative. or Programmers wanting to prepare for job interviews and careers where clean functional code is common place. It is particularly useful for This course is for beginner/intermediate Python programmers wanting to include functional programming concepts in their code. or Programmers wanting to learn how to use comprehensions in their programs. or Programmers wanting to understand how to use declarative code, and be able to translate code from imperative to declarative. or Programmers wanting to prepare for job interviews and careers where clean functional code is common place.

Enroll now: Functional Programming with Python Comprehensions

Summary

Title: Functional Programming with Python Comprehensions

Price: $19.99

Average Rating: 4.95

Number of Lectures: 28

Number of Quizzes: 27

Number of Published Lectures: 28

Number of Published Quizzes: 27

Number of Curriculum Items: 55

Number of Published Curriculum Objects: 55

Original Price: £24.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

Welcome to Functional Programming with Python Comprehensions!

This course is carefully crafted to bridge the gap between beginner and intermediate Python programming, focusing specifically on functional programming principles. Throughout the course, you’ll embark on a transformative journey, mastering the art of using list, set, dictionary, and nested comprehensions to write clearer, concise, and more efficient code.

At the end of this course you can expect to have a real understanding of:

List Comprehensions.
Set Comprehensions.
Dictionary Comprehensions.
Generator Comprehensions.
Nested Comprehensions.
The difference between Imperative & Declarative Programming styles.

Each section is supplemented with quizzes and coding exercises that allow you to practice and solidify your understanding of the material. These exercises are designed to mirror real-world scenarios and job interview scenarios, enabling you to develop problem-solving skills while applying functional programming concepts.

Additionally, this course offers a unique feature—a monthly job interview style question. Each month, you’ll be presented with a challenging question designed to test your understanding of functional programming concepts and your ability to apply them in a practical setting. These exercises will not only help you gauge your progress but also prepare you for real-world coding interviews.

By the end of this course, you’ll have mastered the art of functional programming with Python comprehensions. You’ll possess a deep understanding of the benefits and applications of functional programming, allowing you to write cleaner, more concise, and highly efficient code. Whether you aim to enhance your career prospects, tackle complex coding challenges, or simply expand your programming skill set, this course equips you with the knowledge and confidence to excel.

Enroll now and embark on a transformative journey into the realm of functional programming with Python comprehensions. Let’s unlock the power of functional programming together and take your Python programming skills to new heights!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Imperative vs Declarative

Lecture 1: Programming Paradigms

Lecture 2: Imperative Programming

Lecture 3: Declarative Programming

Chapter 3: The Cornerstones of Comprehensions

Lecture 1: Action, Source, Condition

Lecture 2: Converting from Imperative to Declarative

Chapter 4: List Comprehensions

Lecture 1: Our First List Comprehensions

Lecture 2: Passing User Defined Functions as Actions

Lecture 3: Applying a Simple Condition

Lecture 4: Using Complex Conditions

Lecture 5: Passing a User Defined Function as a Condition

Lecture 6: The Walrus Operator

Lecture 7: Using 'Else' in a List Comprehension

Lecture 8: Alternatives to Comprehensions

Lecture 9: Experimenting with Actions

Lecture 10: Stop and Code! – List Comprehensions

Chapter 5: Set Comprehensions

Lecture 1: A Brief Primer on Sets

Lecture 2: Basic Set Comprehensions

Lecture 3: Stop and Code! – Set Comprehensions

Chapter 6: Generator Comprehensions

Lecture 1: What is a Generator?

Lecture 2: Retrieving Items from your Generator Comprehension

Lecture 3: Stop and Code! – Generator Comprehensions

Chapter 7: Dictionary Comprehensions

Lecture 1: Dictionary Comprehension Basics

Lecture 2: Applying Functions to Keys/Values

Lecture 3: Using Conditions with Dictionary Comprehensions

Chapter 8: Nested Comprehensions

Lecture 1: A Comprehension inside a Comprehension – How does that work?

Lecture 2: Nested Comprehensions – Worked Examples

Lecture 3: Stop and Code! – Nested Comprehensions

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

Instructors

James Clare
Software Engineer with 10+ Years Teaching Experience

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4 stars: 8 votes
5 stars: 29 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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