Python Program to Convert Miles to Kilometers

You can convert miles to kilometers in Python by multiplying the miles value by 1.60934, for example: kilometers = miles * 1.60934.

Examples

Input0

Output0.0

Input5

Output8.0467

Input12.5

Output20.11675

How to Think About It

To convert miles to kilometers, understand that 1 mile equals 1.60934 kilometers. So, multiply the number of miles by 1.60934 to get the distance in kilometers.

Algorithm

1

Get the distance in miles from the user.

2

Multiply the miles value by 1.60934 to convert to kilometers.

3

Display the result in kilometers.

Code

python

miles = float(input("Enter distance in miles: "))
kilometers = miles * 1.60934
print(f"{miles} miles is equal to {kilometers} kilometers")

Output

Enter distance in miles: 5
5.0 miles is equal to 8.0467 kilometers

Dry Run

Let's trace converting 5 miles to kilometers through the code

1

Input miles

User enters 5, so miles = 5.0

2

Calculate kilometers

kilometers = 5.0 * 1.60934 = 8.0467

3

Print result

Output: '5.0 miles is equal to 8.0467 kilometers'

miles	kilometers
5.0	8.0467

Why This Works

Step 1: Input conversion

We convert the input string to a float using float() so we can do math with it.

Step 2: Multiplication by conversion factor

Multiplying miles by 1.60934 converts the distance to kilometers because 1 mile equals 1.60934 kilometers.

Step 3: Output formatting

We use an f-string to neatly print the original miles and the converted kilometers.

Alternative Approaches

Using a function

python

def miles_to_km(miles):
    return miles * 1.60934

miles = float(input("Enter miles: "))
print(f"{miles} miles = {miles_to_km(miles)} kilometers")

This approach organizes the conversion into a reusable function, improving readability and reuse.

Using a constant variable

python

CONVERSION_FACTOR = 1.60934
miles = float(input("Miles: "))
kilometers = miles * CONVERSION_FACTOR
print(f"{miles} miles = {kilometers} km")

Using a constant variable makes it easy to update the conversion factor if needed.

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

Time Complexity

The program performs a fixed number of operations (input, multiplication, output), 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 and space; using a function adds clarity but no performance difference.

Approach	Time	Space	Best For
Direct calculation	O(1)	O(1)	Simple quick scripts
Function-based	O(1)	O(1)	Reusable code and clarity
Constant variable	O(1)	O(1)	Easy updates to conversion factor