I am studying the multiprocessing module and in all the examples in the Python documentation There is always a% checking in the examples, I know this checks to see if the file is being executed directly or being imported but has some relation to the initialization of a if ?
The multiprocessing module also introduces APIs which do not have analogs in the threading module. The prime example of this is the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distributing the input data across processes (data parallelism). The following example demonstrates the common practice of defining such functions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool,
from multiprocessing import Pool
def f(x):
return x*x
if __name__ == '__main__':
with Pool(5) as p:
print(p.map(f, [1, 2, 3]))