How do I paginate tuples in Python in a memory-efficient way?

When working with large datasets in Python, paginating tuples can help manage memory efficiently while allowing you to process content in manageable chunks. This is particularly useful when dealing with large amounts of data, as it prevents loading everything into memory at once.

You can create a simple pagination function that takes a list of tuples and a page size as inputs and returns the relevant subset of tuples for a given page. Below is an example:

def paginate_tuples(data, page_size, page_number): start_index = (page_number - 1) * page_size end_index = start_index + page_size return data[start_index:end_index] # Example usage tuples_data = [(1, 'A'), (2, 'B'), (3, 'C'), (4, 'D'), (5, 'E'), (6, 'F')] page_size = 2 page_number = 2 page = paginate_tuples(tuples_data, page_size, page_number) print(page) # Output: [(3, 'C'), (4, 'D')]

python pagination tuples memory efficient data processing