Hashing dictionaries in Python is useful when you want to create a unique identifier for a dictionary. This can be useful for caching, comparing large datasets, or storing dictionaries as keys in other dictionaries. Here’s a simple way to hash a dictionary using the built-in `hash` function in Python along with JSON serialization.
import json
def hash_dict(d):
# Convert the dictionary to a JSON string, ensuring it is sorted
dict_string = json.dumps(d, sort_keys=True)
# Return the hash of the string
return hash(dict_string)
my_dict = {'name': 'Alice', 'age': 30, 'city': 'Wonderland'}
hashed_value = hash_dict(my_dict)
print(f"The hash value of the dictionary is: {hashed_value}")
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?