Python: Built-in Types and None

Forcing everything into strings or treating missing data as a fake value creates confusion that shows up later in comparisons and validation.

Naming the pitfall early helps you design tests, reviews, and safer boundaries. Connect the idea to a realistic coding decision so recall is easier when solving similar questions.