Python Sets

Python sets are a data structure in Python that are not indexed or ordered, and are written with curly brackets ( { } ).  Python sets offer a major advantage of being a highly optimized method for validating whether an element is within in the set. The hash table is the base for the data structure.

Python Sets Methods

Python Set Creation

Creating a list in Python is easy by using curly brackets and surrounding the values with quotes if needed.

Input:

Output:

Python Set Access

Python does not allow access to items in a set by referring to an index. The reason is because sets are not ordered and there’s no index. However, one can use a for loop to access items by name, which will be discussed in this tutorial later.

Python Set Looping

As stated with Python sets access, in order to locate a item,  a for loop can print out each item that is in the set.

Input:

Output:

Python Sets Validating Item

Python set item validating will determine if an item is in the list by using the keyword, in.

if…else Example 1

Input:

Output:

if…else Example 2

Input:

Output:

Python Set Length

The internal method, len() will determine the length (item count)  of a set.

Input:

Output:

Python Adding Set Item

The internal methods, add() will add a specified item to the end of a set.

Input:

Output:

Python Update Set Item

The internal method, update() will add a item to the index number specified.

Input:

Output:

Python Set Item Removal

There are two methods to remove an item from a set . Below are the two methods:

• remove()
• discard()

remove()

The method remove() will remove the specified item in a string.

Input:

Output:

discard()

The method discard() will remove the specified item in a string.

Input:

Output:

Python set() Constructor

The set() constructor method to create a new set.

Input:

Output: