DataTypes in python_part2

In this article, I'll explain about tuple, set and dictionary datatypes in Python


Tuple
                                   The tuple is exactly the same as list data type except that it is immutable, means we cannot change values once values are assigned.To create a tuple, just list the values within parenthesis separated by commas.


Set
                                     SET is an unordered collection of unique elements. It is used in membership testing, removing duplicates from a sequence, and computing mathematical operations such as intersection, union, difference, and symmetric difference.

There are currently two types of sets
      • Set
      • Frozen Set
Set is mutable means we can change elements after assigning elements to variables.

An example for Set


                                         


Frozen Set is immutable means we cannot change elements after assigning.

An example for Frozen Set





Mathematical operations on the set
        • Union
        • Intersection
        • Difference
        • Symmetric difference

Union
                                       We can use this union() function to return all elements present in both sets.

Example for union()

Intersection

                                      A set with all the elements which are contained in both sets is returned or Returns common elements present in both sets.


An example for intersection

Difference

                                      Returns the elements present in set a but not in set b or difference() method returns the set difference of both sets a and b.

An example for difference


Symmetric_Difference

                                       Returns elements present in either set a or set b but not in both sets.

An example for Symmetric_difference


          
Dictionary
                                      
                                        A dictionary is a sequence of items. Each item contains a key and a value. Dictionaries are not sorted.

An example for Dictionary








Thank you for taking the time to read my article.