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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

What Are Decorators in Python?Function Decorators Class Decorators More Advanced Decorators Decorators with Default Values Decorators for Coroutines Extended Syntax for Decorators Good Uses for Decorators Effective Decorators—Avoiding Common Mistakes Dealing with Side Effects in Decorators Creating Decorators That Will Always Work Decorators and Clean Code The DRY Principle with Decorators Decorators and Separation of Concerns Analysis of Good Decorators Quiz on Using Decorators to Improve Our Code Challenge: Creating Function Decorators Solution: Creating Function Decorators

Getting More Out of Our Objects with Descriptors

A First Look at Descriptors Get Method of the Descriptor Protocol Set Method of the Descriptor Protocol Delete Method of the Descriptor Protocol Set Name Method of the Descriptor Protocol Types of Descriptors An Application of Descriptors Different Forms of Implementing Descriptors More Considerations for Using Descriptors Analysis of Descriptors Final Remarks About Descriptors Quiz on Getting More Out of Our Objects with Descriptors Challenge: Creating Descriptors Solution: Creating Descriptors

Generators, Iterators, and Asynchronous Programming

What are Generators?Generator Expressions Iterating Idiomatically Itertools Simplifying Code through Iterators The Iterator Pattern in Python Coroutines More Advanced Coroutines Further Uses of the yield from Construction Asynchronous Programming Magic Asynchronous Methods Asynchronous Iteration and Asynchronous Generators Quiz on Generators, Iterators, and Asynchronous Programming Challenge: Asynchronous Programming Solution: Asynchronous Programming

Unit Testing and Refactoring

Design Principles and Unit Testing

Forms of Automated Testing

Unit Testing and Agile Software Development

Unit Testing and Software Design

Getting Started with Testing

The unittest Module

Parameterised Tests Using unittest

The pytest Framework

Parameterized Tests Using pytest

Fixtures in pytest

Using Mock Objects

More about Testing

Common Themes in Testing

Test-Driven Development

Quiz on Unit Testing and Refactoring

Common Design Patterns

Design Patterns Considerations in Python Design Patterns in Action Creational Patterns Shared State The Borg Pattern Adapter Composite Decorator Facade Chain of Responsibility The Template Method Command State The Null Object Pattern Final Thoughts about Design Patterns Quiz on Common Design Patterns

Clean Architecture

From Clean Code to Clean Architecture Separation of Concerns Monolithic Applications and Microservices Abstractions Software Components Packages Managing Dependencies Docker Containers Use Case The Service Analysis of the Architectural Traits Quiz on Clean Architecture

Conclusion

An Overview of the Course Ending Notes

Clean Code in Python/

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The pytest Framework

The pytest Framework

Learn how to use pytest in Python to perform unit testing.

We'll cover the following...

Basic test cases with pytest

One great testing framework is pytest, which can be installed via pip install pytest. One difference with respect to unittest is that, while it's still possible to classify test scenarios in classes and create object-oriented models of our tests, this is not ...