In Python, a deep copy of a list can be made using the copy
module, which ensures that all nested objects are copied as well. This prevents any unintended alterations of the original list when modifying the copied one.
import copy
original_list = [[1, 2, 3], [4, 5, 6]]
deep_copied_list = copy.deepcopy(original_list)
# Modifying the deep copy
deep_copied_list[0][0] = 'Changed'
print("Original List:", original_list)
print("Deep Copied List:", deep_copied_list)
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?