Numeric Types in Python

Numeric data types are used to store numbers.

Python supports three types of numeric types:

• Integer (int)
• Floating Point (float)
• Complex Number (complex)

1.) Integer (int):

An integer is a whole number that does not have a fractional or decimal part. It can be positive, negative, or zero. In Python, integers are created by assigning a whole number value to a variable.

Example:

a = 10
print(type(a))  # Output: <class 'int'>

2.) Floating Point (float):

A float represents a real number that contains a decimal point. It is used to represent numbers that require precision, such as scientific measurements or calculations involving fractions.

Example:

b = 3.14
print(type(b))  # Output: <class 'float'>

3.) Complex Number (complex):

A complex number is a number that has a real part and an imaginary part. In Python, complex numbers are written in the form a + bj, where a is the real part and b is the imaginary part.

Example:

c = 3 + 4j
print(type(c))  # Output: <class 'complex'>

Boolean in Python:

In Python, the Boolean data type represents one of two possible values: True or False. It is used to perform logical operations, make decisions in control structures (like if statements), and evaluate conditions.

Booleans are a subclass of integers, with:

• True having an integer value of 1
• False having an integer value of 0

Examples:

x = 5 > 3
print(x)      # Output: True

age = 18
if age >= 18:
    print("You are an adult.")
else:
    print("You are a minor.")

#output: You are an adult.

is_valid = True
print(is_valid)   # Output: True