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Functional Programming with Python Comprehensions

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

625 Students

5h6min

Intermediate

4.8

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  • Overview
  • Curriculum
  • Discussion
  • Review
  • Instructor

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

What are the requirements for taking your course

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

Who is this course for

  • 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.

Description

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:

  1. List Comprehensions.

  2. Set Comprehensions.

  3. Dictionary Comprehensions.

  4. Generator Comprehensions.

  5. Nested Comprehensions.

  6. 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 featureā€”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!

Introduction

Introduction

Imperative vs Declarative

Programming Paradigms

Imperative Programming

Declarative Programming

Programming Paradigms - Knowledge Check

The Cornerstones of Comprehensions

Action, Source, Condition

Converting from Imperative to Declarative

Comprehensions - Knowledge Check

List Comprehensions

Our First List Comprehensions

Passing User Defined Functions as Actions

Applying a Simple Condition

Using Complex Conditions

Passing a User Defined Function as a Condition

The Walrus Operator

Using 'Else' in a List Comprehension

Alternatives to Comprehensions

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4.8

45 Reviews

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James Clare

Instructor

$45.28

This Course Includes

28 Lessons
31 Quizzes
0 Assignment
23 Downloadable Resources
English
Full Lifetime Access
Certificate of completion
Go To Class

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