Sets
Explore Python sets as unique, unordered collections that help manage data without duplicates. Learn to create sets using curly brackets or the set() constructor, add or remove elements, and utilize set operations like intersection and difference. Understand set iteration and set comprehensions to write efficient Python code for data handling.
Structure
A set is an unordered collection of data items. The data is not indexed, so we can’t access elements using indices or get(). This is perhaps the simplest data structure in Python. We can think of it as a bag containing random items.
Mutable data structures like lists or dictionaries can’t be added to a set. However, adding a tuple is perfectly fine.
One might wonder, “Why would I need a set?” A set is ideal when we need to keep track of the existence of unique items. For example, some students might have registered for a course multiple times, leading to duplicate entries in the list.
Since sets cannot contain duplicates, converting the list to a set will remove any ...