Blog post about decorators in Python

[aprotyas]

Helps us make code less DRY, and is often useful for auxiliary instrumentation (timing, logging, caching, etc.)

Main thoughts:

• "Decorator" is a utility that accepts a callable as argument and returns a callable.
• Use pickle when args are not hashable.
• Decorator can be used to modify classes easily and conveniently.

def logger(func):
    def wrapper(*args, **kwargs):
        print('-- start logger --')
        func(*args, **kwargs)
        print('-- end logger --')
    return wrapper

@logger
def foo():
    print('foo')

Reference:

• Decorators | Python for Beginners [42 of 44]
• Reuven M Lerner - Practical Decorators - PyCon 2019

Food for thought:

• Where does functools fit in? i.e. functools.partials or functools.wraps?