Learn how to compare lists in Python across multiple processes using the multiprocessing module. This method allows for efficient data handling and processing in Python.
Python, list comparison, multiprocessing, data handling, performance, parallel processing
from multiprocessing import Pool
def compare_lists(list1, list2):
return list(set(list1) & set(list2))
if __name__ == '__main__':
list_a = [1, 2, 3, 4, 5]
list_b = [3, 4, 5, 6, 7]
with Pool(processes=2) as pool:
result = pool.apply(compare_lists, (list_a, list_b))
print("Common elements:", result)
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