When we talk about Python, SET is a feature that can't be ignored. This is a very powerful data structure that allows us to store a unique collection of elements. The set() function is a way to create a set data structure in Python.
1. Basic usage
In Python, the set() function can be used in two ways:
1.No Parameters: In this case, set() will return an empty set.
2.Parameter is iterable: In this case, set() will return a set that contains all the unique elements of the iterable object. An iterable object can be a list, tuple, collection, string, and so on.
Note: In a set, all elements are unique, and duplicate elements will only be stored once.
2. Characteristics of set
SET has several important features:
1.Out-of-order: There is no fixed order for the elements in a set.
2.Uniqueness: The elements in the set must be unique and cannot be duplicated.
3.Variability: We can modify the set, add or remove elements after creation.
4.Hashability: Since the elements in the set are unique, they can be hashed, which means we can use them as keys in a dictionary or as a collection in a loop.
3. Some important uses of the set() function
1.The intersection of collections: Using the & operator, we can find the intersection of the two sets.
2.Union of collections: Use |operator, we can find the union of two collections.
3.The difference of the set: Using the - operator, we can remove elements from one set and the result is a difference.
4.Check if the element is in the collection: Using the member operator (in), we can check if an element exists in a collection.
This is just the tip of the iceberg of the set() function and the python set feature. Due to its flexibility and powerful features, SET is widely used in Python for a variety of purposes, including data deduplication, pattern matching, algorithm design, and processing. As your python skills grow, you'll discover more magical uses for the set() function.
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