In an async application, you may need to paginate dictionaries when dealing with large datasets. Paginating allows you to break down the data into smaller, manageable chunks, which is especially useful in scenarios like API responses or displaying results in a web application. Here's how you can achieve pagination for dicts in Python using asynchronous programming.
import asyncio
async def paginate_dict(data, page, page_size):
# Calculate start and end index
start = page * page_size
end = start + page_size
# Get the paged items
paged_items = {k: data[k] for i, k in enumerate(data) if start <= i < end}
return paged_items
async def main():
# Sample dictionary
data = {f'item_{i}': i for i in range(1, 101)} # 100 items
page_size = 10
page = 0 # Start from page 0
# Fetch a page of items
paged_result = await paginate_dict(data, page, page_size)
print(paged_result)
# Run the main function
asyncio.run(main())
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