Python Program to find Sum of Array

Posted in Python Tutorial

Updated on Oct 31, 2024

By Mari Selvan

👁️ 107 - Views

⏳ 4 mins

💬 1 Comment

Photo Credit to CodeToFun

🙋 Introduction

In the world of programming, array manipulation is a common and essential task. One frequent operation is finding the sum of elements in an array.

In this tutorial, we will explore a simple yet effective python program that calculates the sum of elements in an array.

📄 Example

Let's dive into the python code that accomplishes this task.

find_sum_of_array.py

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# Function to find the sum of array elements
def find_sum_of_array(arr):
    return sum(arr)

# Driver program
if __name__ == "__main__":
    # Replace these values with your array elements
    array = [1, 2, 3, 4, 5]

    # Call the function to find the sum
    array_sum = find_sum_of_array(array)

    # Print the result
    print(f"Sum of the array elements: {array_sum}")

💻 Testing the Program

To test the program with different array elements, simply replace the values in the array initialization.

Output

Sum of the array elements: 15

Compile and run the program to see the sum of the array elements.

🧠 How the Program Works

The program defines a function find_sum_of_array that takes an array as input and uses the sum function to calculate and return the sum of its elements.
The if __name__ == "__main__": block initializes an array with sample values.
It then calls the find_sum_of_array function and prints the result.

🧐 Understanding the Concept of Sum of Array

Before diving into the code, it's essential to understand the concept of finding the sum of array elements. The sum of an array is obtained by adding up all the elements it contains.

For example, in the array {1, 2, 3, 4, 5}, the sum is 1 + 2 + 3 + 4 + 5 = 15.

🎢 Optimizing the Program

While the provided program is straightforward, you can explore optimizations such as handling large arrays, incorporating error checking, or parallelizing the sum calculation for improved performance.

Feel free to incorporate and modify this code as needed for your specific use case. Happy coding!