Python Data Type

 Python Data Type

     Python includes several built-in data types to store and manipulate different kinds of data. These can be broadly categorized as follows:

        

        1. Numeric Types:

        int (Integers): Whole numbers, positive or negative, without a decimal point.

        

        Python

            age = 30

            float (Floating-point numbers): Numbers with a decimal point.

        

        Python

            price = 19.99

            complex (Complex numbers): Numbers with a real and an imaginary part, represented  as x + yj.

        

        Python

    

        z = 2 + 3j

        2. Sequence Types:

            str (Strings): Sequences of characters enclosed in single or double quotes.

        Python

       name = "Alice"

            list (Lists): Ordered, mutable collections of items enclosed in square brackets. Lists can contain items of different data types.

        Python

            my_list = [1, "hello", 3.14]

            tuple (Tuples): Ordered, immutable collections of items enclosed in parentheses. Tuples are similar to lists but cannot be modified after creation.

         Python

        my_tuple = (10, 20, 30)

        range (Ranges): An immutable sequence of numbers, often used for looping a specific number of times.

        Python

        numbers = range(5) # Represents 0, 1, 2, 3, 4

        3. Mapping Type:

        

            dict (Dictionaries): Unordered, mutable collections of key-value pairs enclosed in curly braces. Keys must be unique and immutable.

           Python

           person = {"name": "Bob", "age": 25}

           

            4. Set Types:

            set (Sets): Unordered, mutable collections of unique items enclosed in curly braces. Duplicate elements are automatically removed.

         Python

 

         unique_numbers = {1, 2, 2, 3} # Result will be {1, 2, 3}

         frozenset (Frozensets): Immutable versions of sets.

           5. Boolean Type:

            bool (Booleans): Represents truth values, either True or False.

            Python

            is_active = True

            6. Binary Types:

            bytes: Immutable sequences of bytes.

            bytearray: Mutable sequences of bytes.

            memoryview: A memory view of other binary data types.  

6.         7. None Data Types:

        None is used to define a null value or Null object in Python. It is not the same as an empty string, a False, or a zero. It is a data type of the class NoneType object

         

        Python 

        print(type(None))

      Output

    

       <class 'NoneType'>