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Tools: abstract base classes and dataclasses for GRASP
Abstract Base Classes (ABCs) and dataclasses provide structural and conceptual clarity in Python applications. This post explores how these tools reinforce GRASP design principles—like low coupling, polymorphism, and information expert—offering engineers practical patterns for building clean, maintainable, and scalable systems.
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Tools: abc, dataclasses, strategy helpers
In modern Python, creating clean, extensible architectures often revolves around three foundational tools: abc for defining contracts, dataclasses for concise data modeling, and strategy helpers for dynamic behavior switching. This article explores how these tools integrate to produce elegant, maintainable, and scalable systems used by teams across industries.