python-design-patterns

Refactoring tangled Python code involves applying classic design patterns to enforce Single Responsibility Principle (SRP) and KISS rules, replacing anti-patterns with clean, modular designs to improve readability and testability.

Use composition over inheritance in Python software design when building behavior from small, focused objects, which enforces modularity and prevents the brittle class hierarchies often caused by deep inheritance.

The Rule of Three in Python design states you should defer abstraction until you have three similar cases, avoiding premature generalization and unnecessary complexity by keeping solutions simple until repetition is proven.

Applying SRP to an existing Python class requires refactoring the logic so components have a single reason to change, separating tangled responsibilities into distinct, focused objects to ensure maintainability.

This design pattern approach requires no external Python dependencies, providing a structured approach to software design through pure Python code examples that enforce composition and KISS principles.

Python codebases become brittle as features accumulate due to tangled logic and a lack of design patterns, which can be resolved by enforcing SRP, KISS, and composition over inheritance to guide structured growth.