Numeric Data Types in Python: int, float, complex

Python is a versatile programming language that provides several numeric data types to work with. These data types include integers, floating-point numbers, and complex numbers. In this article, we will explore these numeric data types and their usage in Python.

Integers (int):

Integers are whole numbers without any decimal points. They can be positive, negative, or zero. In Python, you can declare an integer variable by assigning a numeric value without decimal points. For example:

python code

x = 5

y = -10

Here, x and y are variables of the integer data type.

Floating-Point Numbers (float):

Floating-point numbers, commonly known as floats, represent decimal numbers. They can have both whole and fractional parts. In Python, you can declare a float variable by assigning a value with decimal points. For example:

python code

pi = 3.14159

temperature = 98.6

Here, pi and temperature are variables of the float data type.

Complex Numbers (complex):

Complex numbers are numbers that have both real and imaginary parts. They are written in the form a + bj, where a represents the real part and b represents the imaginary part. In Python, you can declare a complex variable by using the j suffix to represent the imaginary part. For example:

python code

z = 3 + 2j

w = -1j

Here, z and w are variables of the complex data type.

Numeric Operations:

Python provides various operations that can be performed on numeric data types. These operations include addition, subtraction, multiplication, division, modulus, and more. Here's an example of using these operations with numeric variables:

python code

x = 5

y = 2

addition = x + y

subtraction = x - y

multiplication = x * y

division = x / y

modulus = x % y

print(addition) # Output: 7

print(subtraction) # Output: 3

print(multiplication) # Output: 10

print(division) # Output: 2.5

print(modulus) # Output: 1

In this example, we performed various arithmetic operations on the variables x and y of the integer data type.

Conclusion:

Python provides powerful numeric data types, including integers, floating-point numbers, and complex numbers. Understanding these data types and their usage is essential for performing mathematical operations and computations in Python. By leveraging these numeric data types, you can create robust and accurate programs that handle a wide range of numeric values and calculations.