Level order or Depth order binary tree traversal is a technique used to visit all the nodes of a binary tree layer by layer. First the root node, which is at depth-0, is visited. Next all nodes at depth-1 (distance of 1 from root node) are visited. Next all the nodes at dept-2 are visited and so on. The animated examples discussed in the next section will make the definition more clear.

## Animation of Level Order Binary Tree Traversal

Let’s consider the below binary tree and apply the Level order tree traversal technique:

First the root node `A`

which is at depth `0`

has to be visited.

Next all the nodes at depth `1`

have to be visited (Nodes `B`

and `C`

).

Finally, all the nodes at depth `2`

should be visited (Nodes `D`

, `E`

, `F`

and `G`

).

## Iterative Implementation

```
from collections import deque
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def iterative_level_order_traversal(root):
if root is None:
return
queue = deque()
queue.append(root)
while queue:
node = queue.popleft()
# Print the value or perform any operation
print(node.value, end=" ")
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
# Create a sample binary tree
def create_binary_tree():
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
root.left.right = Node(5)
root.right.left = Node(6)
root.right.right = Node(7)
return root
# Iterative level-order traversal usage
if __name__ == "__main__":
tree_root = create_binary_tree()
print("Iterative Level-Order Traversal:")
iterative_level_order_traversal(tree_root)
```