In programming, the basic building blocks for a program include variables, strings, data types, and numbers. We specifically highlight support for integers, floating-point numbers, and complex numbers when referring to numbers in Python. These numeric data types enable the storage and manipulation of various numerical values. When values are assigned to variables of this type, Number objects are created, allowing mathematical operations and computations in Python programs.


variable_name1 = 10

variable_name2 = 6.2

Using the "del" statement in Python makes it possible to delete references to number objects explicitly. The syntax for the "del" statement is as follows:


del variable_name


x = 10
y = 5
z = 7

del x, y, z
The following data types are used to define numeric variables in Python:
  • int
  • float
  • complex

These data types act as classes in Python. Integers represent whole numbers without decimal points, such as 6, while floating-point values (floats) represent decimal or fractional numbers, like 6.2. The complex numbers combine real and imaginary parts, denoted as a + bj.

Types of Numerical Data Types

Python provides four distinctive numerical types:

Numerical Type Description Example
Signed Integers Range of positive and negative whole numbers without a decimal point. x = 10
Float (Real Values) Represents real numbers with a decimal point for division between the integer and fraction. z = 3.14
Complex Numbers Represented as "a + bJ", where "a" and "b" are floating-point numbers and "J" is the square root of -1 (imaginary number). w = 2 + 3j

Type Conversion (Casting)

Python provides convenient functions for converting values between different types within an expression:

Function Description Example Result
int(v) Converts a value 'v' to a plain integer. int(3.5) 3
float(v) Converts a value 'v' to a floating-point value. float(3) 3.0
complex(v) Converts a value 'v' to a complex number with the real part 'v'. complex(3) (3+0j)
complex(u, v) Converts 'u' and 'v' to a complex number with the real part 'u' and imaginary part 'v'. complex(3, 4) (3+4j)

These conversion functions allow the seamless conversion of values between different numeric types in Python. They can be used within expressions to ensure compatibility and perform accurate calculations.


x = 10.5
y = 5

#without type cast
print (x + y) 

#after type cast
print (int(x) + y)



The example above shows how to convert a float to an integer.