pip install joblib python from joblib import Parallel, delayed def process_data(data): return processed_data if __name__ == "__main__": data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] parallelizer = Parallel(n_jobs=-1, backend="multiprocessing") results = parallelizer(delayed(process_data)(d) for d in data) for result in results: print(result)