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Python type annotations1/7/2024 The only topic left to understand is what type are available and how to deal with the more strange ones. If you assign a type a second time to a variable then you will get an error and have to remove the second assignment.įor functions it looks a bit different because we have to handle the type of the return value with the -> construct: def this_is_a_function() -> None:ĭef this_is_a_function(a: int, b: int = 8) -> int:ĭef this_is_a_function(a: int, b: int = 8) -> tuple: You connect a variable only once to a type. Variables are assigned to a type the first time when used or can be defined even before use: a: int Packages like the just-in-time compiler numba can produce better results if you can tell it what the variables are.It showed me any problems ahead that I would have figured out the hard way otherwise. Static code analysis is really helpful.The more it need to think about what you mean, the slower your editor might get or even fail to show you syntax highlighting. Do to some new features in Python 3.10, the modern editors that do syntax highlighting and error checking have a harder time to infer what you mean. If another person gets your source code they understand it easier. It is a part of your automatic documentation (like with meaningful variable names).In March 2022 I would redefine this list a bit: It should also be emphasized that Python will remain a dynamically typed language, and the authors have no desire to ever make type hints mandatory, even by convention. This includes support for off-line type checkers such as mypy, as well as providing a standard notation that can be used by IDEs for code completion and refactoring. Of these goals, static analysis is the most important. This PEP aims to provide a standard syntax for type annotations, opening up Python code to easier static analysis and refactoring, potential runtime type checking, and (perhaps, in some contexts) code generation utilizing type information. Why we got type hints according PEP 484 - Type Hints (2): Note: April 2022: Beginning with Python 3.7 it is necessary to know type annotations. VS Code static type checking for Python.NewType, Generics, User-defined generic types.Python - Type annotations and static type checking for Python.
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