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This article explains Python's reflection mechanism and dynamic attributes, presenting ten practical code examples that demonstrate how to inspect, modify, create, and delete object properties and methods at runtime for more flexible and reusable programs.
This article presents ten useful Python metaprogramming examples that demonstrate dynamic attribute access, setting, descriptor‑based validation, runtime attribute creation and deletion, computed properties, dynamic class and method generation, and metaclass techniques for flexible program behavior.
This article explains Python's __dict__ attribute storage, class and instance attributes, demonstrates how to inspect and modify them, introduces properties using the built‑in property() function, and shows dynamic attribute generation with __getattr__, providing clear code examples and explanations.