Python Data Types

 Python supports several data types, each designed for specific purposes. Here are some of the most commonly used data types in Python with examples:

1. Integers (int): Integers are whole numbers without a decimal point. Example.  x = 5 y = -10
2. Floats (float): Floats represent real numbers with a decimal point.Example:  3.14159 temperature = 98.5
3. Strings (str): Strings are sequences of characters enclosed in single or double quote.    Example:       "Alice" , 'Hello, World!'
4. Lists (list):Lists are ordered collections of items, which can be of different data types. Example: "apple", "banana", "cherry"] numbers = [1, 2, 3, 4, 5]
5. Tuples (tuple):Tuples are similar to lists but are immutable (cannot be changed after creation).
6. Example    (3, 4) colors = ("red", "green", "blue"
7. Dictionaries (dict):Dictionaries store key-value pairs, allowing you to access values by their keys.
8. • Example: {"name": "John", "age": 30, "city": "New York"}
9. Sets (set):Sets are unordered collections of unique elements.
11. • Example: {1, 2, 3, 4, 5} unique_letters = set("hello")
13. Booleans (bool): Booleans represent either True or False.Example:   TRUE.    FALSE
14. None (NoneType): None represents the absence of a value. It is often used to signify that a variable has no value.
15. • Example:
16. • None
17. Custom Data Types (Classes): You can create your own custom data types using classes in Python.
19. • Example:   class Person: def __init__(self, name, age): self.name = name self.age = age person1 = Person("Alice", 25)
      
      
      
      
      
      
      These are the fundamental data types in Python. Python is a dynamically-typed language, meaning you don't need to explicitly specify the data type when declaring a variable. Python determines the data type dynamically based on the value assigned to the variable.

20. 
    
    
    
23. • 
      
24. • 
      
    • 
      

• • 
    

  2. • 
       

       
       

       pi =

1. • 
     
     

2. • 
     

3. • 
     

4. • =
     

5. • 
     

     person = 
     

6. • unique_numbers = 

7. • 
     

     
     
     

8. • ble = 

9. •