How do I chunk dicts in Python across multiple processes?

In Python, you can easily chunk dictionaries across multiple processes using the multiprocessing module. This approach allows you to efficiently distribute workloads across available CPU cores, making data processing faster.

Keywords: Python, multiprocessing, chunking dictionaries, parallel processing, CPU, data distribution
Description: This example demonstrates how to chunk dictionaries in Python using multiprocessing, enabling parallel processing for improved performance.
import multiprocessing # Function to process each chunk of the dictionary def process_chunk(chunk): for key, value in chunk.items(): # Perform some processing on the key-value pair print(f'Processing {key}: {value}') # Sample dictionary data_dict = {i: f'value_{i}' for i in range(100)} # Chunk size chunk_size = 10 # Split the dictionary into chunks chunks = [dict(list(data_dict.items())[i:i + chunk_size]) for i in range(0, len(data_dict), chunk_size)] # Create a pool of workers with multiprocessing.Pool(processes=multiprocessing.cpu_count()) as pool: pool.map(process_chunk, chunks)

Keywords: Python multiprocessing chunking dictionaries parallel processing CPU data distribution

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