xxxxxxxxxxprint("hello world")# Start by selecting a python question.# Write code to pass the unit tests.# Press the Run button or CTRL + Enter to execute the code.In Python, numeric data types represent numerical values and allow you to perform mathematical operations. Python provides two built-in numeric data types: integers and floating-point numbers. These data types are fundamental for working with numerical data in Python. This article will introduce you to the numeric data types in Python and demonstrate how to work with them effectively.
Integers, or int data type, represent whole numbers without any decimal point. They can be positive or negative. You can perform arithmetic operations such as addition, subtraction, multiplication, and division on integers. Let’s see some examples:
# Creating and assigning integer valuesx = 10y = -5z = 0# Arithmetic operationsaddition = x + ysubtraction = x - ymultiplication = x * ydivision = x / yprint(addition) # Output: 5print(subtraction) # Output: 15print(multiplication) # Output: -50print(division) # Output: -2.0Floating-point numbers, or float data type, represent numbers with a decimal point. They are used to represent real-world values and are commonly used in scientific and engineering calculations. Python uses the IEEE 754 standard for representing floating-point numbers. Let’s see an example:
# Creating and assigning floating-point valuesa = 5b = 2# Arithmetic operationsaddition = a + bsubtraction = a - bmultiplication = a * bdivision = a / bprint(addition) # Output: 7print(subtraction) # Output: 3print(multiplication) # Output: 10print(division) # Output: 2.5Python provides built-in functions to convert between different numeric data types. You can use the int() and float() functions to convert values to integers and floating-point numbers, respectively. These conversion functions come in handy when you need to change the type of a numeric value. Let’s see an example:
# Type conversionnum = 10float_num = float(num)print(float_num) # Output: 10.0Python’s numeric data types, including integers and floating-point numbers, are essential for working with numerical data in Python.