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

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.

keywords: pagination, async, Python, dictionary, asyncio
description: Learn how to paginate dictionaries in an async Python application, enhancing performance and usability.

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())
    

keywords: pagination async Python dictionary asyncio