This article explains why relying heavily on Python's isinstance() for type checking leads to less flexible code, introduces the EAFP vs. LBYL philosophies, and shows when isinstance() is appropriate through clear examples and best‑practice guidelines.
This article introduces Python's isinstance() function, explains its syntax, demonstrates basic and advanced usage including inheritance, abstract base classes, and best practices, and compares it with type() while highlighting type hints for more maintainable code.
This article explains five essential Python functions for object inspection and type checking: type(), isinstance(), getattr(), hasattr(), and best practices for error handling.
This article explains the purpose, syntax, parameters, return values, and practical examples of Python’s isinstance() and type() functions, compares their behavior regarding inheritance and polymorphism, and provides advanced usage scenarios for accurate type checking in code.
This guide explains Python’s built‑in isinstance() function, shows its basic syntax and usage—including single‑type, multiple‑type, and inheritance checks—and provides ten practical API‑testing scenarios with ready‑to‑run code examples.
This article explains the Python type() function, its syntax, usage, and differences with isinstance(), including how to dynamically create classes using type().
This article explains the internal algorithm of Python's isinstance function, how it can be overloaded via __instancecheck__, the role of metaclasses, and provides concrete code examples and a step‑by‑step recreation of the check logic for better understanding of duck typing.
