Paginating lists in Python is essential when dealing with large datasets. Using the standard library, you can create a simple pagination function to divide your list into chunks. Below is a practical example of how to achieve pagination with a straightforward approach.
def paginate_list(items, page_size):
"""Divides a list into pages of a specified size."""
for i in range(0, len(items), page_size):
yield items[i:i + page_size]
# Example usage
my_list = list(range(1, 101)) # A list of numbers from 1 to 100
page_size = 10
for page in paginate_list(my_list, page_size):
print(page)
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?