How do I hash lists in Python across multiple processes?

In Python, hashing lists across multiple processes can be efficiently achieved using the built-in `hash` function in combination with the `multiprocessing` module. This allows you to compute a hash for elements in a list in parallel, enhancing the performance for large datasets.

Python, hashing, multiprocessing, parallel processing, hash lists
Learn how to use Python's multiprocessing module to hash lists efficiently across multiple processes.
import hashlib import multiprocessing def hash_list_element(element): return hashlib.sha256(str(element).encode()).hexdigest() if __name__ == '__main__': sample_list = [1, 2, 3, 4, 5] # Create a pool of processes with multiprocessing.Pool(processes=multiprocessing.cpu_count()) as pool: hashes = pool.map(hash_list_element, sample_list) print(hashes)

Python hashing multiprocessing parallel processing hash lists

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