Join Sets

In this article, we'll be talking about Python Sets and how to join them. Sets are a unique data type in Python that can store multiple items in an unordered and unindexed manner. They are similar to lists and tuples but have a few key differences that make them useful in specific situations.

Python Sets - A Brief Overview

Before we dive into joining sets, let's take a closer look at what sets are in Python. A set is a collection of unique elements that can be of any data type - strings, numbers, or even other sets. One of the key features of sets is that they do not allow duplicates. If you try to add a duplicate element to a set, it will be ignored.

Creating a set is easy - you can either use curly braces {} or the built-in set() function. Here's an example of how to create a set:

my_set = {"apple", "banana", "cherry"}

Joining Sets in Python

Now that we know what sets are, let's move on to joining them. There are two ways to join sets in Python:

1. The union() method
2. The update() method

The union() Method

The union() method returns a new set containing all the elements from both sets. Here's how to use it:

set1 = {"apple", "banana", "cherry"}
set2 = {"orange", "banana", "mango"}

set3 = set1.union(set2)

print(set3)

Output:

{'apple', 'banana', 'cherry', 'mango', 'orange'}

The update() Method

The update() method adds all the elements from one set to another. Here's how to use it:

set1 = {"apple", "banana", "cherry"}
set2 = {"orange", "banana", "mango"}

set1.update(set2)

print(set1)

Output:

{'apple', 'banana', 'cherry', 'mango', 'orange'}

Conclusion

In this article, we discussed Python Sets and how to join them using the union() and update() methods. Sets are a powerful tool in Python and can be useful in a variety of situations. We hope that this article has provided you with a better understanding of how sets work and how to use them effectively.