running script multiple times simultaniously in python 2.7
Question: Hello I am trying to run a script multiple times but would like this to take
place at the same time from what I understood i was to use subprocess and
threading together however when i run it it still looks like it is being
executed sequentially can someone help me so that i can get it to run the same
script over and over but at the same time? is it in fact working and just
really slow?

edit forgot the last piece of code now at the bottom

here is what i have so far

    
    
        import os
        import datetime
        import threading
        from subprocess import Popen
    
        today = datetime.date.today()
        os.makedirs("C:/newscript_image/" + str(today))
    
        class myThread(threading.Thread):
            def run(self):
                for filename in os.listdir('./newscript/'):
                    if '.htm' in filename:
                        name = filename.strip('.htm')
    
                        dbfolder = "C:/newscript/db/" + name
                        os.makedirs(dbfolder)
    
                        Popen("python.exe C:/execution.py" + ' ' + filename + ' ' + name + ' ' + str(today) + ' ' + dbfolder)
        myThread().start()
    


Answer: Personally, I'd use `multiprocessing`. I'd write a function that takes a
filename and does whatever the main guts of `execution` does (probably by
importing `execution` and running some function within it):

    
    
    import multiprocessing
    import execution
    import datetime
    
    #assume we have a function:
    #exection.run_main_with_args(filename,name,today_str,dbfolder)
    
    today = datetime.datetime.today()
    def my_execute(filename):
        if '.htm' in filename:
           name = filename.strip('.htm')
           dbfolder = "C:/newscript/db/" + name
           os.makedirs(dbfolder)
           execution.run_main_with_args(filename,name,str(today),dbfolder)
    
    p = multiprocessing.Pool()
    p.map(my_execute,list_of_files_to_process)
    

