Python Datatypes

INTRODUCTION

  Python Datatypes

Python Data Types
        
            In Python, data types define the type of data a variable can hold. Python provides several built-in data types.
        

        Types of Data Types in Python

        1. Numeric Types
        Python supports different numeric types like integers, floating-point numbers, and complex numbers.
        # Integer
x = 10  
print(type(x))  # Output: 

# Float
y = 10.5  
print(type(y))  # Output: 

# Complex
z = 3 + 5j  
print(type(z))  # Output: 
        

        2. Text Type (String)
        Strings in Python are sequences of characters enclosed in quotes.
        # String
text = "Hello, Python!"
print(type(text))  # Output: 
        

        3. Boolean Type
        Boolean represents True or False values.
        # Boolean
a = True
b = False
print(type(a))  # Output: 
        

        4. Sequence Types (List, Tuple, Range)
        These are used to store multiple values.
        # List
my_list = [1, 2, 3, 4]
print(type(my_list))  # Output: 

# Tuple
my_tuple = (1, 2, 3, 4)
print(type(my_tuple))  # Output: 

# Range
my_range = range(5)
print(type(my_range))  # Output: 
        

        5. Mapping Type (Dictionary)
        Dictionaries store data in key-value pairs.
        # Dictionary
my_dict = {"name": "John", "age": 30}
print(type(my_dict))  # Output: 
        

        6. Set Types
        Sets are unordered collections of unique items.
        # Set
my_set = {1, 2, 3, 4}
print(type(my_set))  # Output: 

# Frozen Set
my_frozen_set = frozenset({1, 2, 3, 4})
print(type(my_frozen_set))  # Output: 
        

        Conclusion
        
            Numeric Types: int, float, complex
            Text Type: str
            Boolean Type: bool
            Sequence Types: list, tuple, range
            Mapping Type: dict
            Set Types: set, frozenset