The elements can be of the same or different data types. A Python set is an unordered list of immutable elements. We will use the update() method to add multiple elements to a set. The items/elements in a set are enclosed within braces and separated by commas. Therefore, sets are used when we want to store unique data. Sets are another standard Python data type that also store values. Similarly, a set of movies consists of the names of unique movies. Lists and tuples are standard Python data types that store values in a sequence. Thus, a set of students consists of the names of unique students. We know that a set of students can’t have a student more than once. For example, a set of books, a set of movies, a set of students. #PYTHON SET AS ELEMENT IN LIST MAC#mac list (mac) mac 5 '0' mac ''.join (mac) to get mac in str or use bytearray, which could function as a mutable string. For example, a list can have an element more than once, whereas a set can have an element only once.Ī set in Python is similar to the set about which we talk in our day-to-day life. because mac is a str and strings are immutable in python. So, why a new data type? What makes sets different from lists and tuples is that a set can’t store duplicate data. This will not have any effect if element is already in the set remove(element) removes element of. Just like lists, tuples and dictionaries, sets are also used to store data. Properties of sets add(element) adds element to the set. We have already learnt about the other three and will go through sets in this chapter. Let’s look at two approaches that use a set and a list. You can use a set to get the unique elements. A set is useful because it contains unique elements. Apart from sets, three other data types used as collection of data are List, Tuple and Dictionary. Option 1 Using a Set to Get Unique Elements Using a set one way to go about it.
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