How do I slice lists in Python across multiple processes?

In Python, when working with lists across multiple processes, you can use the `multiprocessing` module to slice the list into chunks that can be processed in parallel. The following example demonstrates how to achieve this effectively.

import multiprocessing def slice_and_process(input_list, start, end): # Process the sliced list (for example, calculate the square of each number) result = [x ** 2 for x in input_list[start:end]] return result if __name__ == "__main__": data = list(range(1, 101)) # Create a list of numbers from 1 to 100 num_processes = 4 chunk_size = len(data) // num_processes processes = [] results = [] for i in range(num_processes): start_index = i * chunk_size end_index = None if i == num_processes - 1 else (i + 1) * chunk_size p = multiprocessing.Process(target=lambda q, arg1, arg2: q.append(slice_and_process(data, arg1, arg2)), args=(results, start_index, end_index)) processes.append(p) p.start() for p in processes: p.join() # Flatten the results flattened_results = [item for sublist in results for item in sublist] print(flattened_results)

Python multiprocessing list slicing parallel processing

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