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]
results = Parallel(n_jobs=num_cores)(delayed(process_data)(d) for d in data)
for result in results:
