Int and Float in Python

In Python, int and float are two fundamental data types used to represent numbers.

Integers (int)

Integers are whole numbers, such as 1, 13, -7, etc. In Python, the int data type can represent integers of any size.

For example, we can assign an integer value to a variable like this:

x = 42

We can also perform arithmetic operations on integers:

a = 5
b = 3
c = a + b  # Addition
d = a - b  # Subtraction
e = a * b  # Multiplication
f = a / b  # Division
g = a // b  # Floor division (returns the integer quotient)
h = a % b  # Modulus (returns the remainder)
i = a ** b  # Exponentiation

Floating point numbers (float)

Floating point numbers, or simply floats, are numbers with decimal points or exponential notation, such as 3.14, 2.0e-2, 1.23e6, etc.

We can assign a float value to a variable like this:

y = 3.14

We can perform arithmetic operations on floats as well, just like with integers:

a = 1.5
b = 0.25
c = a + b  # Addition
d = a - b  # Subtraction
e = a * b  # Multiplication
f = a / b  # Division

Type Casting

Sometimes we may need to convert a float to an integer, or vice versa. We can use type casting to achieve this:

x = int(3.14)  # x is now equal to 3
y = float(42)  # y is now equal to 42.0

Conclusion

In summary, int represents whole numbers and float represents decimal numbers or exponential notation. We can perform arithmetic operations on these types of data, and convert between them using type casting.