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Title: Using Python's Type Hints with Decorated Functions and Generators: A Tutorial
Introduction:
Python's type hinting, introduced in PEP 484, allows developers to specify the expected types of variables and function return values. This feature enhances code readability and facilitates static analysis tools. In this tutorial, we'll explore how to leverage type hints with decorated functions and generators to enhance code clarity and maintainability.
Prerequisites:
Before diving into this tutorial, make sure you have a basic understanding of Python and are familiar with the concept of decorators and generators.
Here, type_hint_decorator is a simple decorator that prints the result of the decorated function. The type hint for the greet function specifies that it takes a string (name) as an argument and returns a string.
In this example, type_hint_generator_decorator is a decorator for generator functions. The count_up_to generator produces numbers up to a specified limit, and the decorator prints each generated value.
Here, the process_numbers function is both a decorated function and a generator. It doubles each number in the input list and prints the result.
Conclusion:
Combining type hints with decorators and generators in Python allows you to write more readable and maintainable code. By providing clear annotations, you enhance the documentation and enable better tooling support. This tutorial covered the basics, and you can further explore advanced use cases to make your code more robust and expressive.
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