How do I chunk dicts in Python in an async application?

Chunking Dicts in Python for Async Applications

Chunking dictionaries efficiently can be beneficial in asynchronous applications, allowing you to process large datasets in manageable pieces.

def chunk_dict(d, chunk_size):
    """Split a dictionary into chunks of a specified size."""
    it = iter(d)
    return [{k: d[k] for k in keys} for keys in iter(lambda: list(itertools.islice(it, chunk_size)), [])]

# Example usage
import asyncio
import itertools

async def process_chunk(chunk):
    await asyncio.sleep(1)  # Simulate an async operation
    print(f"Processed: {chunk}")

async def main():
    my_dict = {i: i * 10 for i in range(50)}  # Example dictionary
    chunks = chunk_dict(my_dict, 10)  # Chunk the dictionary into pieces of size 10
    await asyncio.gather(*(process_chunk(chunk) for chunk in chunks))

asyncio.run(main())