Python Program to Convert Inches to Centimeters

You can convert inches to centimeters in Python by multiplying the inches value by 2.54. For example, centimeters = inches * 2.54.

Examples

Input0

Output0.0

Input10

Output25.4

Input15.5

Output39.37

How to Think About It

To convert inches to centimeters, understand that 1 inch equals 2.54 centimeters. So, multiply the number of inches by 2.54 to get the length in centimeters.

Algorithm

1

Get the input value in inches from the user.

2

Multiply the inches value by 2.54 to convert it to centimeters.

3

Display the result.

Code

python

inches = float(input("Enter length in inches: "))
centimeters = inches * 2.54
print(f"{inches} inches is equal to {centimeters} centimeters.")

Output

Enter length in inches: 10
10.0 inches is equal to 25.4 centimeters.

Dry Run

Let's trace converting 10 inches to centimeters through the code

1

Input

User enters 10, so inches = 10.0

2

Calculation

centimeters = 10.0 * 2.54 = 25.4

3

Output

Prints '10.0 inches is equal to 25.4 centimeters.'

inches	centimeters
10.0	25.4

Why This Works

Step 1: Input Conversion

The input is converted to a float to allow decimal values for inches.

Step 2: Multiplication by 2.54

Multiplying by 2.54 converts inches to centimeters because 1 inch equals 2.54 cm.

Step 3: Output Formatting

The result is printed using an f-string for clear and readable output.

Alternative Approaches

Using a function

python

def inches_to_cm(inches):
    return inches * 2.54

value = float(input("Enter inches: "))
print(f"{value} inches = {inches_to_cm(value)} cm")

This approach makes the conversion reusable and organizes code better.

Using a constant variable

python

INCH_TO_CM = 2.54
inches = float(input("Inches: "))
cm = inches * INCH_TO_CM
print(f"{inches} inches = {cm} cm")

Using a constant improves readability and makes it easy to update the conversion factor.

Complexity: O(1) time, O(1) space

Time Complexity

The program performs a single multiplication and input/output operations, so it runs in constant time.

Space Complexity

Only a few variables are used, so the space used is constant.

Which Approach is Fastest?

All approaches run in constant time; using a function or constant variable mainly improves code clarity, not speed.

Approach	Time	Space	Best For
Direct calculation	O(1)	O(1)	Simple quick conversion
Function	O(1)	O(1)	Reusable code in larger programs
Constant variable	O(1)	O(1)	Readability and easy updates