Python requests module multithreading

Question

Is there a possible way to speed up my code using multiprocessing interface? The problem is that this interface uses map function, which works only with 1 function. But my c

Answer 1

Yes, you can use multiprocessing.

from multiprocessing import Pool

def f(line):
    session = requests.session()
    Login(session, line)
    Timer(session, line)
    Logout(session, line)        

if __name__ == '__main__':
    urls = open('text.txt').read().splitlines()
    p = Pool(5)
    print(p.map(f, urls))

The requests session cannot be global and shared between workers, every worker should use its own session.

You write that you already "tried to combine my functions into one, but didn't get success". What exactly didn't work?