# Python Program: Print Elements at Odd Positions in an Array

In this blog post, we will explore a Python program designed to print the elements of an array that are present at odd positions. The article will provide a comprehensive explanation of the algorithm used in the program, present the Python code for implementation, and include examples with corresponding outputs.

## Understanding the Algorithm

The algorithm for printing elements at odd positions in an array involves the following steps:

1. Input Array: Accept an array of elements, either predefined or entered by the user.
2. Traverse Array: Iterate through the array and identify elements at odd positions (indices).
3. Print Elements: Display the elements found at odd positions.

## Python Program for Printing Elements at Odd Positions

Let’s implement the algorithm in a Python program:

``````def print_odd_position_elements(arr):
print("Elements at Odd Positions:")
for i in range(len(arr)):
if i % 2 != 0:
print(arr[i])

# Example array
example_array = [10, 20, 30, 40, 50, 60, 70, 80]

# Print odd position elements
print_odd_position_elements(example_array)
``````

## Output Example

### Example: Printing Odd Position Elements in `[10, 20, 30, 40, 50, 60, 70, 80]`

``````Elements at Odd Positions:
20
40
60
80
``````

## Explanation

The Python program defines a function `print_odd_position_elements` that takes an array as input. It uses a `for` loop to iterate through the array, and the `if` statement checks whether the current index is odd (`i % 2 != 0`). If true, it prints the element at that position.

## Conclusion

This Python program provides a simple and effective way to extract and display elements at odd positions in an array. Understanding array traversal and index manipulation is crucial in many programming scenarios. You can use this program as a basis for more complex array-related tasks or adapt it based on specific requirements. Feel free to experiment with different arrays and explore variations of the algorithm. If you have any questions or would like to explore more Python programming topics, please feel free to ask!