# left node of the last level in a binary tree with code examples

Introduction:

In computer science, a binary tree is a fundamental data structure that serves as the basis for many applications. A binary tree is a tree data structure where each node can have at most two children, commonly referred to as the left and right children. Each node in a binary tree corresponds to a value or an element, and the structure of the tree is determined by how the nodes are arranged. In this article, we will discuss how to find the left node of the last level in a binary tree with code examples.

What is a Binary Tree?

A binary tree is a tree data structure in which each node can have at most two children, referred to as the left and right children. Each node in a binary tree corresponds to a value or an element. The structure of the tree is determined by how the nodes are arranged.

Binary trees are widely used in computer science as a basis for many applications, including search algorithms, compression algorithms, and data storage algorithms. In addition, binary trees can also be used as a building block for more complex data structures, such as binary search trees and AVL trees.

What is the Last Level in a Binary Tree?

In a binary tree, the last level is the lowest level of the tree. The last level is also known as the leaf level or the deepest level of the tree. At the last level, all the nodes are leaf nodes, meaning they do not have any children.

As an example, let's consider the following binary tree:

```          10
/   \
5     15
/ \   /  \
3   7 12  20
```

In this binary tree, the last level consists of the nodes 3, 7, 12, and 20, as they do not have any children.

Finding the Left Node of the Last Level in a Binary Tree:

Finding the left node of the last level in a binary tree can be achieved using a simple depth-first search algorithm. The algorithm requires traversing the binary tree from left to right and keeping track of the last node visited at the deepest level. The left node of the last level is then returned once the traversal is complete.

Let's take a look at the pseudocode for the algorithm:

```function findLeftNode(node):
if node is None:
return None

# check if node is a leaf node
if node.left is None and node.right is None:
# we have reached a leaf node, return the node
return node

# recursively traverse the left subtree
left_node = findLeftNode(node.left)

# if we found a left node, return it
if left_node is not None:
return left_node

# if we didn't find any left node in the left subtree,
# recursively traverse the right subtree
return findLeftNode(node.right)
```

Let's break down the pseudocode and understand how the algorithm works.

The findLeftNode function takes a single parameter, node, which represents the root of the binary tree. The function first checks if node is None. If it is, the function returns None as there is no left node in an empty binary tree.

Next, the algorithm checks if node is a leaf node by verifying if it has no children. If node is a leaf node, the algorithm returns the node as it is the left node of the last level.

If node is not a leaf node, the algorithm recursively traverses the left subtree by calling itself with node.left as its parameter. The returned value is stored in the left_node variable.

If left_node is not None, it means we have found the left node of the last level in the left subtree. Therefore, the algorithm returns left_node.

If left_node is None, it means we didn't find any left node in the left subtree, so we need to traverse the right subtree by calling findLeftNode with node.right as its parameter.

By repeating this process recursively, we will eventually find the left node of the last level in the binary tree.

Code Examples:

Let's implement the algorithm in Python:

```class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None

def findLeftNode(node):
if node is None:
return None

if node.left is None and node.right is None:
return node

left_node = findLeftNode(node.left)

if left_node is not None:
return left_node

return findLeftNode(node.right)

# create a binary tree
root = Node(10)
root.left = Node(5)
root.left.left = Node(3)
root.left.right = Node(7)
root.right = Node(15)
root.right.left = Node(12)
root.right.right = Node(20)

# find the left node of the last level in the binary tree
left_node = findLeftNode(root)

# print the value of the left node
print("Left node of the last level:", left_node.value)
```

The output should be:

```Left node of the last level: 3
```

Conclusion:

In conclusion, we have discussed how to find the left node of the last level in a binary tree using a simple depth-first search algorithm. The algorithm requires traversing the binary tree from left to right and keeping track of the last node visited at the deepest level. The left node of the last level is then returned once the traversal is complete. The algorithm is simple to implement and can be used in various applications that require traversing binary trees.

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## Popular questions

Certainly! Here are five common questions related to finding the left node of the last level in a binary tree, along with their answers:

Q1. What is a binary tree?

A binary tree is a tree data structure where each node can have at most two children, referred to as the left and right children. Each node in a binary tree corresponds to a value or an element, and the structure of the tree is determined by how the nodes are arranged.

Q2. What is the last level in a binary tree?

In a binary tree, the last level is the lowest level of the tree. The last level is also known as the leaf level or the deepest level of the tree. At the last level, all the nodes are leaf nodes, meaning they do not have any children.

Q3. How do you find the left node of the last level in a binary tree?

To find the left node of the last level in a binary tree, you can use a depth-first search algorithm. The algorithm involves recursively traversing the left and right subtrees of the tree while keeping track of the deepest node that has been visited so far. The left node of the last level can then be returned once the traversal is complete.

Q4. Can you provide an example of a binary tree and its left node of the last level?

Sure! Let's consider the following binary tree:

```          10
/   \
5     15
/ \   /  \
3   7 12  20
```

The left node of the last level in this binary tree is 3.

Q5. Is it possible for a binary tree to not have a left node of the last level?

Yes, it's possible for a binary tree to not have a left node on the last level. For example, if the binary tree has only one node, or if it has a height of 1, there will be no left node at the last level. Also, if all nodes on the last level are right children, there will be no left node on that level.

### Tag

"Leafleft"

##### Ahmed Galal
As a senior DevOps Engineer, I possess extensive experience in cloud-native technologies. With my knowledge of the latest DevOps tools and technologies, I can assist your organization in growing and thriving. I am passionate about learning about modern technologies on a daily basis. My area of expertise includes, but is not limited to, Linux, Solaris, and Windows Servers, as well as Docker, K8s (AKS), Jenkins, Azure DevOps, AWS, Azure, Git, GitHub, Terraform, Ansible, Prometheus, Grafana, and Bash.
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