Python typing Module: Difference between revisions
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A [[Python typing Module]] is a [[Python Standard Library]] [[Python module|module]] that provides support for [[type hint]]s. | A [[Python typing Module]] is a [[Python Standard Library]] [[Python module|module]] that provides support for [[type hint]]s. | ||
* <B>Context:</B> | * <B>Context:</B> | ||
** It can (typically) allow developers to specify the expected [[data types]] of [[function | ** It can (typically) allow developers to specify the expected [[data types]] of [[function argument]]s, [[return values]], and [[variables]] within their code. | ||
** It can include type hints for both simple and complex data types, such as `int`, `str`, `List[T]`, `Dict[K, V]`, and `Optional[T]`. | ** It can include type hints for both simple and complex data types, such as `int`, `str`, `List[T]`, `Dict[K, V]`, and `Optional[T]`. | ||
** It can enhance code readability and maintainability by making the types used in a program explicit. | ** It can enhance code readability and maintainability by making the types used in a program explicit. |
Latest revision as of 04:36, 24 June 2024
A Python typing Module is a Python Standard Library module that provides support for type hints.
- Context:
- It can (typically) allow developers to specify the expected data types of function arguments, return values, and variables within their code.
- It can include type hints for both simple and complex data types, such as `int`, `str`, `List[T]`, `Dict[K, V]`, and `Optional[T]`.
- It can enhance code readability and maintainability by making the types used in a program explicit.
- It can assist static type checkers like mypy, IDEs, and linters in detecting type-related errors, thereby improving code quality.
- It can facilitate clearer API design and documentation by explicitly stating what types a function expects and returns.
- It can be used in both small scripts and large codebases to provide the benefits of static typing while retaining Python's dynamic typing nature.
- ...
- Example(s):
- ...
- Counter-Example(s):
- A Python Runtime Type-Checking Library, such as Enforce library.
- Data Format Validation Library, such ase Marshmallow library.
- See: Static Type Checking, Dynamic Typing, Type Hinting, mypy, PEP 484.