Python supports a variety of data types such as numeric (integers, floats, complex), string, boolean, list, tuple, and dictionary. Each data type has its own unique set of properties and methods ...

Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient ...

Learn how Mypy's type checking works with functions and generators. In my last two articles I've described some of the ways Mypy, a type checker for Python, can help identify potential problems with ...

Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.

Additional data types. Python developers must correctly and precisely specify the data structure. One of the goals of dynamic typing in Python is that functions should work regardless of the type of ...

In a dynamic language, by contrast, variables don't have types at all. Running the type function, as I did above, doesn't actually return the variable's type, but rather the type of data to which the ...

Python data validator Pydantic launches model-agnostic AI agent development ... PydanticAI brings type safety, ... enabling a mix of static instructions and dynamic inputs to drive interactions.