How do I search lists in Python across multiple processes?

Python, multiprocessing, lists, search, process, parallel processing
This example demonstrates how to search through lists in Python using multiple processes for improved performance.
import multiprocessing def search_in_list(search_term, data_list, output): result = [item for item in data_list if search_term in item] output.put(result) if __name__ == '__main__': manager = multiprocessing.Manager() output = manager.Queue() # Example data: list of strings data_lists = [ ['apple', 'banana', 'cherry'], ['date', 'elderberry', 'fig'], ['grape', 'honeydew', 'kiwi'] ] # Search term search_term = 'a' processes = [] for data_list in data_lists: p = multiprocessing.Process(target=search_in_list, args=(search_term, data_list, output)) processes.append(p) p.start() for p in processes: p.join() results = [] while not output.empty(): results.extend(output.get()) print("Search Results:", results)

Python multiprocessing lists search process parallel processing

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