@kowshik1729
that's builtin at python. only thing is. you can simply import using

from multiprocessing import Process
def my_function_to_run(*args, **kwargs):
     ...
     ...

def main():
    p1 = Process(
                   target=my_function_to_run, 
                   args=('arg_01', 'arg_02', 'arg_03', ), 
                   kwargs={'key': 'value', 'another_key':True}
    )
    p1.start()
    p2 = Process(
                   target=my_function_to_run, 
                   args=('arg_01', 'arg_02', 'arg_03', ), 
                   kwargs={'key': 'value', 'another_key':True}       
    )
    p2.start()
    
    p1.join()
    p2.join()
    print("Finished!")

if __name__ == '__main__':
   main()

This Might can help: https://docs.python.org/2/library/multiprocessing.html

@kowshik1729
that's builtin at python. only thing is. you can simply import using

from multiprocessing import Process
def my_function_to_run(*args, **kwargs):
     ...
     ...

def main():
    p1 = Process(
                   target=my_function_to_run, 
                   args=('arg_01', 'arg_02', 'arg_03', ), 
                   kwargs={'key': 'value', 'another_key':True}
    )
    p1.start()
    p2 = Process(
                   target=my_function_to_run, 
                   args=('arg_01', 'arg_02', 'arg_03', ), 
                   kwargs={'key': 'value', 'another_key':True}       
    )
    p2.start()
    
    p1.join()
    p2.join()
    print("Finished!")

if __name__ == '__main__':
   main()

This Might can help: https://docs.python.org/2/library/multiprocessing.html

I suggest you multiprocessing to handle dlifferent processes.
Use multiprocessing.Process.
If you want to establish a communication between parent and child process, use multiprocessing.Queue or multiprocessing.Pipe