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The task is to intersect two dictionaries through their keys, which means finding the keys that are common to both dictionaries.
For example, given the dictionaries a = {'nikhil': 1, 'vashu': 5, 'manjeet': 10, 'akshat': 15} and b = {'akshat': 15, 'nikhil': 1, 'me': 56}, the goal is to find the intersection of these dictionaries, meaning the key-value pairs that exist in both dictionaries. The result will be {'nikhil': 1, 'akshat': 15}, which includes only the key-value pairs that are common to both a and b.
In Python, sets provide efficient operations like intersection which is ideal for finding common dictionary keys. By converting dictionary keys to sets and using the intersection method, we can quickly identify shared keys, making this approach highly suitable for large datasets due to constant time complexity .
{'nikhil': 1, 'akshat': 15}
Explanation: res = {k: a[k] for k in e} creates a new dictionary by iterating over the common keys in e and fetching their corresponding values from dictionary a.
Another approach for intersecting dictionary keys is using dictionary comprehension. This method checks if each key in one dictionary is present in the other dictionary. It's useful for smaller dictionaries.
{'nikhil': 1, 'akshat': 15}
Explanation:
filter() with a lambda expression is another functional programming approach to intersect dictionary keys. This method filters the key-value pairs of the first dictionary where the key also exists in the second dictionary.
{'nikhil': 1, 'akshat': 15}
Explanation:
dict()converts the filtered result into a dictionary .List comprehension is another way to intersect two dictionaries. We can first generate a list of matching keys by iterating over the keys of one dictionary and checking if they exist in the other dictionary. After finding the common keys, we can construct a new dictionary using these keys.
{'nikhil': 1, 'akshat': 15}
Explanation: