# Preorder Tree Traversal in Python In this article, we will study the concept and algorithm for preorder tree traversal. Then we will implement the algorithm for preorder traversal in Python and run it on a binary tree.

## What is Preorder Tree Traversal?

Preorder traversal is a depth-first tree traversal algorithm. In depth-first traversal, we start at the root node and then we explore a branch of the tree till the end and then we backtrack and traverse another branch.

In the preorder traversal, first, we traverse the current node, and then we traverse the left child or left subtree of the current node, and then we traverse the right child or right subtree of the current node. We perform this operation recursively till all the nodes are traversed.

We use preorder traversal to create a copy of a binary tree. We can also derive the prefix expression from an expression tree using preorder traversal.

## Preorder Tree Traversal Algorithm in Python

Following is the algorithm of preorder tree traversal.

Algorithm preorder –

• Input: Reference to Root Node
• Output: Prints All the nodes of the tree
• Start.
• If the root is empty, return.
• Traverse the root node. //print value at node
• Traverse left subtree of the root.// preorder(root.leftChild)
• Traverse the right subtree of the root.// preorder(root.rightChild)
• End.

## Preorder Traversal Algorithm Implementation in Python

Now we will implement the above algorithm to print nodes of the following binary tree in preorder traversal.

In the following code, first the above binary tree has been created and then preorder traversal of the binary tree is printed.

```class BinaryTreeNode:
def __init__(self, data):
self.data = data
self.leftChild = None
self.rightChild=None

def insert(root,newValue):
#if binary search tree is empty, make a new node and declare it as root
if root is None:
root=BinaryTreeNode(newValue)
return root
#binary search tree is not empty, so we will insert it into the tree
#if newValue is less than value of data in root, add it to left subtree and proceed recursively
if newValue<root.data:
root.leftChild=insert(root.leftChild,newValue)
else:
#if newValue is greater than value of data in root, add it to right subtree and proceed recursively
root.rightChild=insert(root.rightChild,newValue)
return root
def preorder(root):
#if root is None return
if root==None:
return
#traverse root
print(root.data)
#traverse left subtree
preorder(root.leftChild)
#traverse right subtree
preorder(root.rightChild)
root= insert(None,15)
insert(root,10)
insert(root,25)
insert(root,6)
insert(root,14)
insert(root,20)
insert(root,60)
print("Printing values of binary tree in preorder Traversal.")
preorder(root)
```

Output:

```Printing values of binary tree in preorder Traversal.
15
10
6
14
25
20
60
```

## Conclusion

In this article, We have learnt the concept of preorder tree traversal. We also studied the algorithm and implemented it in python to traverse a binary tree. Stay tuned for more informative articles.

Happy Learning.