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Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Tuple, and Dictionary, all with different qualities and usage. A set is a collection which is unordered , unchangeable* , and unindexed .
In this tutorial you'll learn how to work effectively with Python's set data type. You'll see how to define set objects in Python and discover the operations that they support and by the end of the tutorial you'll have a good feel for when a set is an appropriate choice in your own programs.
A Set in Python programming is an unordered collection data type that is iterable and has no duplicate elements. While sets are mutable, meaning you can add or remove elements after their creation, the individual elements within the set must be immutable and cannot be changed directly.
A set is an unordered collection with no duplicate elements. Basic uses include membership testing and eliminating duplicate entries. Set objects also support mathematical operations like union, intersection, difference, and symmetric difference.
Python Sets. A set is a collection of unique data, meaning that elements within a set cannot be duplicated. For instance, if we need to store information about student IDs, a set is suitable since student IDs cannot have duplicates. Python Set Elements. Create a Set in Python.
In this tutorial, you'll learn about Python Set type and how to manage set elements effectively including adding, removing, and clearing.
A Python set is a collection of distinct elements. The set has some things in common with Python lists and tuples, but there are important differences: A Python set can only contain unique values; Sets are unordered; More formally: sets are unordered collections of distinct objects. In this article, we’ll closely examine sets and how to use them.
The most common way of creating a set in Python is by using the built-in set() function. >>> first_set = set(( "Connor" , 32 , ( 1 , 2 , 3 ))) >>> first_set { 32 , 'Connor' , ( 1 , 2 , 3 )} >>> >>> second_set = set( "Connor" ) >>> second_set { 'n' , 'C' , 'r' , 'o' }
In Python, set is a collection of unique elements. It can perform set operations such as union, intersection, difference, and symmetric difference. Built-in Types - Set Type — Python 3.11.4 documentation; Set (mathematics) - Wikipedia
We'll start by understanding the foundational concepts of the set data structure, and then dive into Python's specific implementation and the rich set of operations it offers. By the end, you'll have a solid grasp of when and how to use sets in your Python projects.