On Sat, 19 Feb 2022 at 19:44, Mats Wichmann <m...@wichmann.us> wrote:
> On 2/19/22 05:09, Shaozhong SHI wrote: > > Can it be divided into several processes? > > Regards, > > David > > The answer is: "maybe". Multiprocessing doesn't happen for free, you > have to figure out how to divide the task up, requiring thought and > effort. We can't guess to what extent the problem you have is amenable > to multiprocessing. > > Google for "dataframe" and "multiprocessing" and you should get some > hits (in my somewhat limited experience in this area, people usually > load the csv data into Pandas before they get started working with it). > > > -- > https://mail.python.org/mailman/listinfo/python-list I am trying this approach, import multiprocessing as mp def my_func(x): print(x**x) def main(): pool = mp.Pool(mp.cpu_count()) result = pool.map(my_func, [4,2,3]) if __name__ == "__main__": main() I modified the script and set off a test run. However, I have no idea whether this approach will be faster than conventional approach. Any one has idea? Regards, David -- https://mail.python.org/mailman/listinfo/python-list
