How do I deserialize lists in Python across multiple processes?

In Python, when working with multiple processes, you can use libraries such as `multiprocessing` or `pickle` to serialize and deserialize lists efficiently. Serialization allows you to convert a Python object (like a list) into a byte stream, which can then be transmitted or stored. Deserialization is the reverse process.

Here's a basic example of how to deserialize a list across multiple processes using `multiprocessing` and `pickle`:

import multiprocessing import pickle def worker(data): # Deserialize the list list_data = pickle.loads(data) print("Received list:", list_data) if __name__ == "__main__": # Original list my_list = [1, 2, 3, 4, 5] # Serialize the list serialized_data = pickle.dumps(my_list) # Create and start a new process process = multiprocessing.Process(target=worker, args=(serialized_data,)) process.start() process.join()

deserialize lists Python multiprocessing pickle

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