How do I serialize lists in Python across multiple processes?

In Python, when working with multiple processes, you can serialize lists using the `multiprocessing` module, which provides several utilities for creating processes, inter-process communication, and sharing data. One common way to serialize data is by using the `pickle` module, which can serialize and deserialize Python objects, including lists.

Keywords: multiprocessing, serialization, Python, lists, pickle, inter-process communication.
Description: This example demonstrates how to serialize lists in Python across multiple processes using the `pickle` module, ensuring that data can be shared effectively between processes.
import multiprocessing import pickle def worker(data): # Serialize the list serialized_data = pickle.dumps(data) # Simulate some processing return serialized_data if __name__ == "__main__": # Example list to serialize my_list = [1, 2, 3, 4, 5] # Start multiple processes with multiprocessing.Pool(processes=4) as pool: results = pool.map(worker, [my_list] * 4) # Deserialize the results deserialized_results = [pickle.loads(result) for result in results] print(deserialized_results) # Output will show the deserialized lists

Keywords: multiprocessing serialization Python lists pickle inter-process communication.

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