How do I deep copy dicts in Python with standard library only?

In Python, to create a deep copy of dictionaries using the standard library, you can utilize the `copy` module, which provides the `deepcopy` function. This function recursively copies the original dictionary, ensuring that all nested objects are also copied rather than just their references. This is particularly useful when dealing with complex data structures that include nested dictionaries, lists, or other mutable types.

Here’s an example of how to use the `deepcopy` function:

import copy # Original dictionary original_dict = { 'a': 1, 'b': [2, 3], 'c': {'d': 4} } # Deep copy of the original dictionary copied_dict = copy.deepcopy(original_dict) # Modifying the copied dictionary copied_dict['b'][0] = 99 copied_dict['c']['d'] = 100 print("Original Dictionary:", original_dict) print("Copied Dictionary:", copied_dict)

deep copy dictionary copy Python copy module

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?