After seeing how do annotations work on Java, we will see how do they work on Python. Because Python is a less strict language, annotations can be use on a more direct way.
For example, if we want to log every time we execute certain functions, we just have to define an interface which prints the log we want and make our functions implement this interface:
from functools import wraps def log(func): @wraps(func) def log_func(*args, **kwargs): print "log" return func(*args, **kwargs) return log_func @log def func1(): print "Ejecutando funcion uno" @log def func2(): print "Ejecutando funcion uno" func1() func2()
The code above returns this result:
log Ejecutando función uno log Ejecutando función dos
We can also use annotations to more useful things, like telling Python that certain function will be executed on a different thread:
from multiprocessing import process def run_async(func): @wraps(func) def async_func(*args, **kwargs): func_hl = Process(target = func, args = args, kwargs = kwargs) func_hl.start() return func_hl return async_func @run_async def process(): print "Ejecutado en asíncrono"
