Practical Examples of Python Decorator Usage in Real Applications
Decorators in Python are a powerful tool for modifying the behavior of functions or methods. The most common usages are sleeping, timing validation, and logging.
1. Sleeping Decorator
This decorator will make the function wait for a specified amount of time before executing.
1234567891011121314151617import time def sleep_decorator(seconds): def decorator(func): def wrapper(*args, **kwargs): print(f"Sleeping for {seconds} seconds before executing '{func.__name__}'") time.sleep(seconds) return func(*args, **kwargs) return wrapper return decorator @sleep_decorator(2) def my_function(): print("Function executed!") # Usage my_function()
2. Validation Decorator
This decorator checks if the inputs to a function meet certain criteria.
1234567891011121314151617def validate_decorator(func): def wrapper(number): if not isinstance(number, int) or number < 0: raise ValueError("Input must be a non-negative integer") return func(number) return wrapper @validate_decorator def factorial(n): if n == 0: return 1 else: return n * factorial(n - 1) # Usage print(factorial(5)) # factorial(-1) # This will raise an error
3. Timing Decorator
This decorator measures the execution time of a function. We have already used it previous chapter.
12345678910111213141516171819import time def timing_decorator(func): def wrapper(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) end_time = time.time() print(f"'{func.__name__}' executed in {end_time - start_time} seconds") return result return wrapper @timing_decorator def some_function(): time.sleep(1) # Simulating a task print("Function completed") # Usage some_function()
The decorator for login verification uses additional libraries and is used in website development, so it is more appropriate to consider this decorator in the context of website creation.
As we said, decorators are a complex topic in Python and sometimes require more practice to fully understand this topic. You are on the right path in building a programmer's mindset.
Download notes on the course. 😉
1. What will be the output of the following code?
2. What will be the output of the following code?
Grazie per i tuoi commenti!
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Practical Examples of Python Decorator Usage in Real Applications
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Decorators in Python are a powerful tool for modifying the behavior of functions or methods. The most common usages are sleeping, timing validation, and logging.
1. Sleeping Decorator
This decorator will make the function wait for a specified amount of time before executing.
1234567891011121314151617import time def sleep_decorator(seconds): def decorator(func): def wrapper(*args, **kwargs): print(f"Sleeping for {seconds} seconds before executing '{func.__name__}'") time.sleep(seconds) return func(*args, **kwargs) return wrapper return decorator @sleep_decorator(2) def my_function(): print("Function executed!") # Usage my_function()
2. Validation Decorator
This decorator checks if the inputs to a function meet certain criteria.
1234567891011121314151617def validate_decorator(func): def wrapper(number): if not isinstance(number, int) or number < 0: raise ValueError("Input must be a non-negative integer") return func(number) return wrapper @validate_decorator def factorial(n): if n == 0: return 1 else: return n * factorial(n - 1) # Usage print(factorial(5)) # factorial(-1) # This will raise an error
3. Timing Decorator
This decorator measures the execution time of a function. We have already used it previous chapter.
12345678910111213141516171819import time def timing_decorator(func): def wrapper(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) end_time = time.time() print(f"'{func.__name__}' executed in {end_time - start_time} seconds") return result return wrapper @timing_decorator def some_function(): time.sleep(1) # Simulating a task print("Function completed") # Usage some_function()
The decorator for login verification uses additional libraries and is used in website development, so it is more appropriate to consider this decorator in the context of website creation.
As we said, decorators are a complex topic in Python and sometimes require more practice to fully understand this topic. You are on the right path in building a programmer's mindset.
Download notes on the course. 😉
1. What will be the output of the following code?
2. What will be the output of the following code?
Grazie per i tuoi commenti!