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Clean Code in Python

Clean Code in Python

Learn to write scalable, maintainable code in Python, focusing on advanced topics like decorators and asynchronous programming.

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136 Lessons

37h

Certificate of Completion

Learn to write scalable, maintainable code in Python, focusing on advanced topics like decorators and asynchronous programming.

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This course includes

200 Playgrounds
10 Quizzes

This course includes

200 Playgrounds
10 Quizzes
Course Overview
What You'll Learn
Course Content

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

What You'll Learn

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

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Course Content

1.

Preface

Get familiar with writing clean, maintainable Python code focusing on essential principles and practices.
Getting Started with Clean Code in Python
2.

Introduction to Clean Code, Code Formatting, and Tools

Look at clean code principles, formatting, documentation, annotations, and essential tooling.
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
3.

Pythonic Code

Master the steps to write idiomatic Python with indexing, context managers, and magic methods for enhanced clarity.
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
4.

General Traits of Good Code

Grasp the fundamentals of robust code principles, design strategies, and effective function handling.
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
5.

The SOLID Principles

Deepen your knowledge of SOLID principles to enhance code maintainability and scalability.
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
6.

Using Decorators to Improve Our Code

18 Lessons

See how decorators enhance Python code by promoting code reusability, separation of concerns, and the DRY principle.
7.

Getting More Out of Our Objects with Descriptors

14 Lessons

Build on descriptors to enhance Python’s object-oriented programming with reusable abstractions and controlled attributes.
8.

Generators, Iterators, and Asynchronous Programming

15 Lessons

Learn how to use generators, iterators, and asynchronous programming in Python effectively.
9.

Unit Testing and Refactoring

18 Lessons

Unpack the core of effective unit testing, test design principles, and refactoring techniques.
10.

Common Design Patterns

16 Lessons

Examine applying design patterns in Python, balancing inherent dynamic features with practical use cases.
11.

Clean Architecture

12 Lessons

Apply your skills to develop robust software architecture with modular, scalable, and maintainable systems.
12.

Conclusion

2 Lessons

Dig deeper into clean code principles, coding guidelines, and adaptable software design in Python.

Course Author

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Anthony Walker

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Evan Dunbar

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Carlos Matias La Borde

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Souvik Kundu

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Eric Downs

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Kenan Eyvazov

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Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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