In Python, the set function is used to create a collection object, and it has a unique set of methods and operations that make it very efficient in data processing and collection operations.
This article will give you a comprehensive understanding of the usage of the set function in Python to help you better grasp this powerful tool. Publish a collection of dragon cards to share millions of cash
SET.
In Python, creating a set collection is very simple. You can create a set object using curly braces {} or the built-in set() function. Here are some examples:
Create a set with curly braces
Use the set() function to create a set
Basic operations. The set object provides a range of methods to manipulate the collection, including adding elements, removing elements, intersections, unions, differences, and so on. Here are some examples of commonly used set operations:
Add elements. 
Delete the element. 
Intersection operations. 
Union operations. 
Difference operations. 
Application scenarios. The set function has many practical application scenarios in Python programming. Here are a few common examples:
Deduplication. SET automatically removes duplicate elements, so it is often used for data deduplication operations.
Set operations. In the fields of data analysis and algorithm implementation, it is often necessary to perform set operations, such as intersection, union, and difference. SET provides an efficient method of set operations.
Member detection. Use the in keyword to quickly determine whether an element belongs to a collection.
Summary. As an unordered data structure that does not contain duplicate elements, set excels in data processing and set operations.
By mastering the basic operations and common application scenarios of SET, you will be better able to meet the challenges of real-world programming.
Hopefully, this article will be helpful for you on your Python learning journey.