Explore the simplicity and flexibility of duck typing in Python — where code adapts based on behavior, not rigid types!

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Duck typing in Python emphasizes object behavior over class type, making code more flexible and reusable. Unlike statically typed languages, Python determines variable types at runtime. This allows functions to operate on any object with the required methods, contributing to simpler and more adaptable code. However, it may also lead to runtime errors and needs careful documentation and testing. Various examples illustrate the concept and its practical use.

Duck, Duck, Code: An Introduction to Python’s Duck Typing

please share more on that…am not really familiar on this

confused on what this is, i just use type annotations everywhere lol

When you do this, you really do also use some typehint (e.g. <code>typing.Protocol</code>) which allow static type-checking for duck type

can u throw more light into this

although, thinking about good code habits, to preserve legibility and intuitive learning for the scenario of “other dev working with your code” duck typing may complicate working with your code if it’s written this way. opinions?