Pagination is a technique for dividing a large list into smaller chunks or pages, making it easier to navigate and read. In Python, you can paginate lists by slicing them based on the desired page number and page size.
def paginate_list(data, page_size, page_number):
start = (page_number - 1) * page_size
end = start + page_size
return data[start:end]
# Example usage
my_list = list(range(1, 101)) # List of numbers from 1 to 100
page_size = 10
page_number = 1
# Get items for the current page
current_page_items = paginate_list(my_list, page_size, page_number)
print(current_page_items) # Output: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
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?