Tagged with typing
Python is dynamically typed because types are checked at runtime, and strongly typed because values do not silently coerce across unrelated types.
Dynamic typing and strong typing in Python
Python functions can return any object, often pack multiple results into a tuple, and may document intent through annotations and docstrings.
Return values, multiple return values, function annotations, and docstrings
Type hints document intent, improve tooling, and can express unions, optional values, generics, literal constraints, protocols, and escape hatches like `Any`.
Type hints: `Optional`, `Union`, `Literal`, `Any`, generics, `Protocol`, and type checking tools
JavaScript is a high-level language used in browsers and servers, and it is dynamically and weakly typed.
JavaScript overview, key features, dynamic typing, and weak typing
TypeScript helps React codebases by making props, events, state, refs, and reusable abstractions safer and easier to navigate.
TypeScript with React: props, state, events, refs, and generic components