Building a Type-Safe Trade Data Library with Python's typing Module
This tutorial builds a type-safe trade data library for a financial analytics service using Python's typing module, covering basic function annotations with parameter and return types, Optional and Union for values that may be absent, generic container types list/dict/tuple, TypeVar for functions whose return type matches their input type, Protocol for structural duck-typed interfaces, and TypedDict with NotRequired for typed dictionary shapes
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