# Python: Measure execution time

## Python Basic: Exercise-57 with Solution

Write a Python program to get the execution time of a Python method.

**Sample Solution:**

**Python Code:**

```
# Import the 'time' module to work with time-related functions.
import time
# Define a function named 'sum_of_n_numbers' that calculates the sum of the first 'n' natural numbers.
def sum_of_n_numbers(n):
# Record the current time before the calculation.
start_time = time.time()
# Initialize a variable 's' to store the sum.
s = 0
# Loop through numbers from 1 to 'n' and accumulate the sum.
for i in range(1, n + 1):
s = s + i
# Record the current time after the calculation.
end_time = time.time()
# Return both the calculated sum and the time taken for the calculation.
return s, end_time - start_time
# Define the value of 'n' as 5.
n = 5
# Print the result, including the time taken to calculate the sum.
print("\nTime to sum of 1 to", n, "and required time to calculate is:", sum_of_n_numbers(n))
```

Sample Output:

Time to sum of 1 to 5 and required time to calculate is : (15, 2.384185791015625e-06)

**Explanation:**

The above Python code defines a function sum_of_n_numbers() that calculates the sum of the first n positive integers, and returns the sum and the time it took to calculate the sum.

time module - This module provides various time-related functions.

The sum_of_n_numbers() function uses a for loop to add up the first n positive integers and calculates the time it takes to do so using the time.time() function to get the start and end times of the operation. The function returns a tuple containing the sum of the first n positive integers and the time taken to calculate the sum.

Finally the code then calls the sum_of_n_numbers() function with an argument of n=5, and prints the result to the console using the print() function. The output displays the time it took to calculate the sum of the first 5 positive integers and the calculated sum.

**Flowchart:**

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