Sets are Python’s built-in data structure for storing unique, unordered collections. They automatically eliminate duplicates and provide fast membership testing. If you’ve ever needed to remove duplicate entries from a list or check whether something exists in a collection without…
Sets in Python are unique data types. Apart from lists, tuples and dictionaries, sets are one of the most well known and sought after data storing variables. Sets unlike lists cannot be sliced or indexed, hence their processing speeds are…
Jaccard Distance and Jaccard Similarity (also called as Jaccard Index) are a measurement of similarity between two sets in Set Theory. Jaccard Similarity is highly useful in Natural Language Processing, as they can give a similarity measure between two words…
Python Set Difference basically performs the difference operation on iterable objects and the result contains the difference between them. It contains elements that are present in the set (on which the operation is invoked) which are not present in the…
Union basically represents all the distinct elements of the corresponding sets altogether. Python Set union() method finds the union of the sets and represents a new set which contains all the items from the corresponding input sets. Note: If a…
Python Set Intersection basically finds and returns elements common among the sets. Syntax: set1.intersection(set2) is equivalent to set1 ∩ set2. Arguments: Accepts one or more sets as an argument. Return Value: Returns a set as output which contains elements common…