Here’s a Python illustration that employs a recursive depth-first search: maxLevel = [ 0 ] def leftViewUtil ( root , level , maxLevel ) : if root is None : return if ( maxLevel [ 0 ] < level ) : print ( f" { root . data } " , end = " " ) maxLevel [ 0 ] = level leftViewUtil ( root . left , level + 1 , maxLevel ) leftViewUtil ( root . right , level + 1 , maxLevel ) def leftView ( root ) : leftViewUtil ( root , 1 , maxLevel ) This code defines a helper function named leftViewUtil , which performs a depth-first traversal of the binary tree. It takes the current node, the current level in the tree, and the maximum level reached so far (stored in a list for mutability) as parameters. The function first checks if the node is null. If it is, the function returns. If the node is not null and the current level exceeds the maximum level reached, it prints the node and updates the maximum level. Subsequently, it makes recursive calls for the left and right children of the current node. The leftView function initiates the process by calling leftViewUtil with the tree's root, starting at level 1, and the maxLevel variable.