# 1. Introduction

Calculating the average of array elements is a basic statistical operation, fundamental in data analysis, algorithm design, and everyday programming tasks. The average, or mean, provides a simple measure of the central tendency of a set of numbers. In programming, calculating the average helps in understanding data distributions, optimizing algorithms, and preparing data for further processing. This blog post will illustrate how to calculate the average of array elements using Python, emphasizing clarity and efficiency.

# 2. Program Steps

1. Define an array containing the numbers of which you want to calculate the average.

2. Sum all the elements in the array.

3. Divide the total sum by the number of elements in the array to find the average.

4. Display the calculated average.

# 3. Code Program

# Step 1: Define an array of numbers
numbers = [10, 20, 30, 40, 50]

# Step 2: Calculate the sum of the array elements
total_sum = sum(numbers)

# Step 3: Calculate the average
average = total_sum / len(numbers)

# Step 4: Display the average
print(f"The average of the array elements is: {average}")

### Output:

The average of the array elements is: 30.0

### Explanation:

1. The program begins by initializing an array named numbers with five integers. This array represents the dataset for which the average will be calculated.

2. It calculates the total sum of the array elements using Python's built-in sum() function, which efficiently sums up all the elements in an iterable.

3. To find the average, the program divides the total sum by the number of elements in the array, determined by the len() function. This step computes the mean value of the array elements.

4. Finally, the program prints the calculated average, providing a simple and straightforward demonstration of calculating this statistical measure in Python. This method is efficient and leverages Python's capabilities for concise code.