Python typing type annotations in python

type annotations in python allow you to specify the data types of variables, function parameters, and return values. this can help improve code readability and maintainability, as well as catch type-related errors at an earlier stage. type annotations are optional and do not affect the actual execution of the code, but they can be used by static type checkers like `mypy` to analyze the code for potential type errors.

here is a brief tutorial on how to use type annotations in python:

1. basic type annotations:
you can specify basic data types using the `:` followed by the type name. here are some examples:

2. function type annotations:
you can also specify the types of function parameters and return values. here is an example function with type annotations:

3. inferred types:
python is a dynamically typed language, so type annotations are not required for the code to run. however, type annotations can be used by tools like `mypy` for static type checking. here is an example of inferred types:

4. using the `typing` module:
the `typing` module provides more advanced type annotations, such as union, list, tuple, optional, etc. here is an example using the `typing` module:

remember that type annotations are optional in python, but they can be a useful tool for improving code quality and readability.

i hope this tutorial helps you understand how to use type annotations in python! let me know if you have any questions or need further clarification.

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