In Python, a Set<\/strong> is an unordered data type<\/strong> that represents a collection of unique values. Sets are defined using curly braces Since sets do not allow duplicate values<\/strong>, if the same value is added multiple times, only one instance is stored.<\/p>\n\n\n\n Since sets are an unordered type<\/strong>, they do not support indexing or slicing. To access elements of a set, you must use a loop.<\/p>\n\n\n\n Sets are mutable<\/strong>, which means you can add or remove elements. You can use the Sets support various operations such as union, intersection, and difference. These operations can be performed using the Sets offer various methods for easy manipulation of elements:<\/p>\n\n\n\n Sets are useful in various situations such as removing duplicate values or finding common elements through operations between multiple sets. For example, to remove duplicates from a list, you can convert it to a set.<\/p>\n\n\n\n{}<\/code>, and each element is unique. For example:<\/p>\n\n\n\nmy_set = {1, 2, 3, 4, 5}<\/code><\/pre>\n\n\n\nCharacteristics of Sets<\/h2>\n\n\n\n
1. No Duplicates Allowed<\/h3>\n\n\n\n
my_set = {1, 2, 2, 3, 4}\nprint(my_set) # {1, 2, 3, 4}<\/code><\/pre>\n\n\n\n2. Unordered<\/h3>\n\n\n\n
my_set = {\"apple\", \"banana\", \"cherry\"}\nfor item in my_set:\n print(item)<\/code><\/pre>\n\n\n\n3. Adding and Removing Elements in a Set<\/h3>\n\n\n\n
add()<\/code> method to add elements, and remove()<\/code> or discard()<\/code> methods to remove them.<\/p>\n\n\n\nmy_set = {1, 2, 3}\nmy_set.add(4) # {1, 2, 3, 4}\nmy_set.remove(2) # {1, 3, 4}\nmy_set.discard(5) # {1, 3, 4} (no error when removing a non-existent element)\nprint(my_set)<\/code><\/pre>\n\n\n\n4. Set Operations<\/h3>\n\n\n\n
|<\/code>, &<\/code>, and -<\/code> operators or methods.<\/p>\n\n\n\nset1 = {1, 2, 3, 4}\nset2 = {3, 4, 5, 6}\n\n# Union\nunion_set = set1 | set2\nprint(union_set) # {1, 2, 3, 4, 5, 6}\n\n# Intersection\nintersection_set = set1 & set2\nprint(intersection_set) # {3, 4}\n\n# Difference\ndifference_set = set1 - set2\nprint(difference_set) # {1, 2}<\/code><\/pre>\n\n\n\n5. Set Methods<\/h3>\n\n\n\n
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set.add(x)<\/code>: Adds an element to the set.<\/li>\n\n\n\nset.remove(x)<\/code>: Removes a specific element from the set, and raises an error if the element is not present.<\/li>\n\n\n\nset.discard(x)<\/code>: Removes a specific element from the set, and does not raise an error if the element is not present.<\/li>\n\n\n\nset.union(other_set)<\/code>: Returns the union of two sets.<\/li>\n\n\n\nset.intersection(other_set)<\/code>: Returns the intersection of two sets.<\/li>\n\n\n\nset.difference(other_set)<\/code>: Returns the difference of two sets.<\/li>\n<\/ul>\n\n\n\nset1 = {1, 2, 3}\nset2 = {3, 4, 5}\n\nset1.add(6)\nprint(set1) # {1, 2, 3, 6}\n\nset1.discard(2)\nprint(set1) # {1, 3, 6}\n\nunion = set1.union(set2)\nprint(union) # {1, 3, 4, 5, 6}\n\nintersection = set1.intersection(set2)\nprint(intersection) # {3}<\/code><\/pre>\n\n\n\n6. Applications of Sets<\/h3>\n\n\n\n
my_list = [1, 2, 2, 3, 4, 4, 5]\nmy_set = set(my_list)\nprint(my_set) # {1, 2, 3, 4, 5}<\/code><\/pre>\n\n\n\nSummary<\/h2>\n\n\n\n