python-design-patterns

Composition over inheritance in Python refactoring replaces deep class hierarchies with smaller, assembled components. This pattern builds behavior by combining focused parts, resulting in cleaner structure and clearer boundaries without rigid inheritance trees.

The Rule of Three in Python design patterns prevents premature abstraction by delaying generalization until at least three similar code cases exist. This approach ensures you only introduce abstractions when the pattern is proven and necessary.

Use KISS to favor straightforward, minimal solutions unless complexity is justified, and use Single Responsibility Principle (SRP) to organize code into focused components with clear boundaries. Both patterns work together to create maintainable Python projects.

Refactoring a tangled Python module involves applying separation of concerns to split code into focused components. You identify overlapping responsibilities and establish clear boundaries to organize the code for better maintainability.

Evaluating abstractions in Python projects involves checking if complexity is justified under KISS and waiting for three similar cases per the Rule of Three. This avoids premature generalization while keeping the codebase scalable.