Clean Code in Python

Advanced

136 Lessons

37h

Certificate of Completion

AI-POWERED

Explanations

This course includes

200 Playgrounds

10 Quizzes

151 Illustrations

This course includes

200 Playgrounds

10 Quizzes

151 Illustrations

Course Overview

Writing high quality code is one of the highly desirable traits of software engineers in the industry. This course is useful for anyone interested in creating scalable and maintainable software design in Python. It is assumed that the learner is already familiar with the principles of object-oriented software design and has experience writing code in Python. In this course, you’ll go through the content in an increasing order of complexity, starting from the basics of Python. The course covers some advanc...Show More

What You'll Learn

An understanding of general software engineering principles to write maintainable code in Python

An understanding of SOLID principles for effective object-oriented design in Python

Hands-on experience with decorators for reusing code, separating responsibilities, and creating granular functions in Python

Familiarity with descriptors to improve code readability in Python

Hands-on experience with generators, iterators, and asynchronous programming in Python

Familiarity with unit testing and refactoring in Python

Course Content

Preface

Getting Started with Clean Code in Python

Introduction to Clean Code, Code Formatting, and Tools

An Introduction to Clean Code Code Formatting Documentation: Code Comments Documentation: Docstrings Documentation: Annotations Tooling for Type Consistency and General Validations Tooling for Automatic Formatting Quiz on Introduction to Clean Code, Code Formatting, and Tools

Pythonic Code

Indexes and Slices

Context Managers Comprehensions and Assignment Expressions Properties, Attributes, and Different Types of Methods for Objects Creating Classes with a More Compact Syntax Iterable Objects Other Properties, Attributes, and Methods Summary of Magic Methods Caveats in Python Quiz on Pythonic Code

General Traits of Good Code

Design by Contract Defensive Programming Best Practices for Exception Handling Using Assertions in Python Separation of Concerns Acronyms to Live By Inheritance in Python Multiple Inheritance in Python Arguments in Functions and Methods Variable Number of Arguments in Python More on How Function Arguments Work in Python Optimizing the Number of Arguments in Functions Final Remarks on Good Practices for Software Design Quiz on General Traits of Good Code

The SOLID Principles

The Single Responsibility Principle The Open/Closed Principle Liskov's Substitution Principle Integration Segregation Principle Dependency Inversion Principle Quiz on the SOLID Principles Challenge: The Single Responsibility Principle Solution: The Single Responsibility Principle

Using Decorators to Improve Our Code

18 Lessons

Getting More Out of Our Objects with Descriptors

14 Lessons

Generators, Iterators, and Asynchronous Programming

15 Lessons

Unit Testing and Refactoring

18 Lessons

Common Design Patterns

16 Lessons

Clean Architecture

12 Lessons

Conclusion

2 Lessons

COURSE AUTHOR

How You'll Learn

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Videos are holding you back. Educative‘s interactive, text-based lessons accelerate learning — no setup, downloads, or alt-tabbing required.

Learn faster and smarter with adaptive AI tools embedded in every Educative course.

Built-in assessments let you test your skills. Completion certificates let you show them off.

Recommended Courses

BEFORE STARTING THIS COURSE

AFTER FINISHING THIS COURSE

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath