How do I split tuples in Python across multiple processes?

This guide explains how to split tuples in Python across multiple processes, allowing for efficient parallel processing when working with large datasets.

Python, tuples, multiprocessing, parallel processing, data splitting


import multiprocessing

def process_tuple(tup):
    # Add your processing logic here
    return sum(tup)

if __name__ == '__main__':
    tuples = [(1, 2), (3, 4), (5, 6), (7, 8)]
    
    # Create a pool of processes
    with multiprocessing.Pool(processes=4) as pool:
        results = pool.map(process_tuple, tuples)
    
    print(results)  # Output: [3, 7, 11, 15]
        

Python tuples multiprocessing parallel processing data splitting