The set() function is a built-in Python function that returns a new set object. A set is an unordered collection of unique elements, where each element must be hashable.
The syntax for using the set() function is as follows:
set(iterable)
where iterable is an optional iterable object whose elements will be added to the new set. If iterable is not provided, an empty set is returned.
Here's an example of using the set() function to create a new set:
>>> s = set([1, 2, 3])
>>> s
{1, 2, 3}
In this example, we use the set() function to create a new set s with the elements [1, 2, 3]. The elements are added to the set in an arbitrary order, and duplicates are automatically removed.
You can also create a set using curly braces {} syntax, as shown below:
>>> s = {1, 2, 3}
>>> s
{1, 2, 3}
In this example, we use curly braces to create a new set s with the elements [1, 2, 3].
You can perform various set operations like union, intersection, difference, and symmetric difference on sets using built-in set methods like union(), intersection(), difference(), and symmetric_difference().
Here's an example of using set operations:
>>> s1 = {1, 2, 3, 4}
>>> s2 = {3, 4, 5, 6}
>>> s3 = s1.union(s2)
>>> s3
{1, 2, 3, 4, 5, 6}
>>> s4 = s1.intersection(s2)
>>> s4
{3, 4}
>>> s5 = s1.difference(s2)
>>> s5
{1, 2}
>>> s6 = s1.symmetric_difference(s2)
>>> s6
{1, 2, 5, 6}
In this example, we create two sets s1 and s2 with some common elements. We then perform different set operations like union, intersection, difference, and symmetric difference on these sets using built-in set methods. The resulting sets are stored in new variables s3, s4, s5, and s6.
