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Python is a powerful language that offers a wealth of features to help developers write efficient and expressive code. Two such features that are particularly useful are decorators and function signatures.
In this article, we’ll explore how you can leverage these tools to enhance your Python programming experience.
Decorators: Enhancing Function Behavior
Decorators in Python are a way to modify the behavior of a function without altering its source code. They are essentially higher-order functions that take a function as an argument, add some functionality to it, and return a new function.
Here’s a simple example of a decorator that logs the input and output of a function:
def log_function_call(func):
def wrapper(*args, **kwargs):
print(f"Calling {func.__name__} with args={args} and kwargs={kwargs}")
result = func(*args, **kwargs)
print(f"{func.__name__} returned {result}")
return result
return wrapper
@log_function_call
def add_numbers(a, b):
return a + b
add_numbers(2, 3)
# Output:
# Calling add_numbers with args=(2, 3)…