Protocols is a concept with varied product implementations, ranging from dietary supplements by Protocol For Life Balance to communication standards like TCP/IP. Protocols.io supports research methods, while The Protocol Solution, LLC offers health-related products. In Python, Protocols define component behavior and avoid tight coupling.
ArjanCodes (3 mentions) highlights Protocols in Python for defining component behavior and preventing "God Object" anti-patterns, as seen in "Stop Hardcoding Everything: Use Dependency Injection" and "Protocol Or ABC In Python - When to Use Which One?".
Are your Python classes suffocating under the weight of hardcoded dependencies? Many developers realize too late that tightly coupled code is nearly impossible to test or extend without a complete rewrite. By shifting to Dependency Injection, you can transform rigid scripts into modular systems where components are swapped as easily as artifacts in a museum display.
Are your Python functions drowning in a sea of repeated arguments? Discover how the Context Object Pattern can clean up your codebase by grouping dependencies like loggers and database sessions into a single, manageable structure. Learn to balance convenience with clean design by applying this pattern to high-level orchestration without falling into the trap of tight coupling.
In the evolution of Python software design, the choice between Abstract Base Classes and Protocols defines how your modules communicate. While ABCs offer the safety of strict inheritance, they often lead to rigid, highly-coupled systems that are difficult to refactor. Protocols introduce a more flexible, structural approach that allows you to satisfy interfaces without formal declarations, but this freedom comes with hidden trade-offs in error detection and code reusability.