How do I paginate lists in Python safely and idiomatically?

Pagination in Python is an essential technique for handling large datasets or lists effectively, ensuring that items are displayed in manageable chunks. In this example, we'll demonstrate how to paginate a list safely and idiomatically using Python.

Here's a simple example of how to achieve pagination:

def paginate(items, page_number, items_per_page): """Paginate a list of items.""" if page_number < 1 or items_per_page < 1: raise ValueError("Page number and items per page must be greater than zero.") start_index = (page_number - 1) * items_per_page end_index = start_index + items_per_page return items[start_index:end_index] # Example usage sample_list = list(range(1, 101)) # A list of numbers from 1 to 100 page = 2 items_per_page = 10 paginated_items = paginate(sample_list, page, items_per_page) print(paginated_items) # Output: [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]

Pagination Python List Paginate Python Coders Code Examples

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?