In Python, you can deserialize lists using the NumPy library by converting serialized data back into a NumPy array. This is particularly useful when working with data that has been stored in a serialized format, allowing for efficient numerical computations. Below is an example demonstrating how to use NumPy to deserialize a list.
import numpy as np
import pickle
# Example serialized list
serialized_list = pickle.dumps([1, 2, 3, 4, 5])
# Deserializing the list using pickle
deserialized_list = pickle.loads(serialized_list)
# Converting the deserialized list to a NumPy array
np_array = np.array(deserialized_list)
print(np_array) # Output: [1 2 3 4 5]
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