Generators and Decorators implementation in Python

Question

Accepted Answer

Generators and decorators are powerful features in Python for creating iterable objects and modifying functions respectively.

Generators are functions that use the yield keyword to return a sequence of values lazily.
They are memory efficient as they generate values on the fly instead of storing them in memory.
Decorators are functions that modify the behavior of other functions without changing their source code.
They are used to add functionality to functions, such as logging, timing, or authentication.
Generators and decorators can be combined to create powerful and flexible code.
Example of a generator: def count_up_to(n): yield from range(1, n+1)
Example of a decorator: def log_time(func): def wrapper(*args, **kwargs): start_time = time.time() result = func(*args, **kwargs) end_time = time.time() print(f'Time taken: {end_time - start_time} seconds') return result return wrapper

Accepted Answer

Generators - save memory and allow to manipulate large files which cannot be read into RAM
Decorators - wrapper functions to allow multiple users to use common functionality and use it further as per their requirement

Generators and Decorators implementation in Python

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