![]() Parallels are easy to set up and offer fast performance, with apps running effortlessly with no slowdowns. Share files, copy & paste images as well as text, drag & drop files from Windows applications and Mac seamlessly. class TotalError:įuture_result = pool.submit(some_function_call, parameters1, parameters2)įuture_result. The software is compatible with various Mac versions, including MacBook Pro, MacBook, iMac Pro, Mac Pro, or Mac mini. ![]() If paramters are not iterables/mappable, but you just want to run the function 24 times, you can submit the jobs for the function for the required number of times, and later acquire the result using a callback. In this case, parameters1 and parameters2 should be a list or iterable of the same size as the number of times you want to run the function (24 times as per your example). With futures.ProcessPoolExecutor() as pool:įor error in pool.map(some_function_call, parameters1, parameters2): See this for more details about differences. You can also use concurrent.futures in Python 3, which is a simpler interface than multiprocessing.
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