Python Variables and Data Types

 Python Variables and Data Types

 Numeric Types:

   int: Integer type (whole numbers). 

    For Example :

        age = 25

 

   float: Floating-point type (decimal numbers).

    For Example :

        height = 1.75

 

  complex: Complex numbers.  

     For Example :

       complex_num = 3 + 4j

 

Text Type:

   str: String type (sequence of characters).

     For Example :

     name = "John"

     Strings can be enclosed in single (') or double (") quotes.

 

Boolean Type:

     bool: Boolean type (True or False).

     For Example : is_adult = True 

 

Sequence Types:

     list: Ordered, mutable sequence.

        For Example : 

          fruits = ["apple", "banana", "orange"]

     tuple: Ordered, immutable sequence.

         For Example : 

          coordinates = (3, 4)

     str: String is also a sequence of characters.

 

Mapping Type:

     dict: Dictionary, an unordered collection of key-value pairs.

          For Example : 

           person = {"name": "Alice", "age": 30}

 

Set Types:

     set: Unordered collection of unique elements.

      For Example : 

        unique_numbers = {1, 2, 3, 4, 5}

 

None Type:

     None: Represents the absence of a value or a null value.

       For Example : 

         no_value = None

 

Type Conversion:

You can convert between different data types using built-in functions like int(), float(), str(), etc.

  For Example : 

     num_str = "25" 

     num_int = int(num_str)

 

Variable Assignment:

Variables are assigned using the = operator.

     For Example : 

     x = 10

You can assign values of different types to the same variable.

For Example : 

     x = "Hello" x = 42

 

Dynamic Typing:

Python is dynamically typed, so you don't need to declare the type of a variable explicitly.

For Example :

   dynamic_variable = "Hello, Python!"

 

These are the basic data types in Python. Understanding how to use and manipulate these data types is fundamental to writing effective Python code.