DSA SERIES CHAPTER 17 : CREATION OF BINARY TREE (PYTHON VERSION)

 

DSA SERIES CHAPTER 17 : CREATION OF BINARY TREE (PYTHON VERSION)

1. Objective

This post explains how to create a Binary Tree in Python using:

  • Class-based node representation

  • Object references instead of pointers

  • Manual linking of nodes

This is the Python equivalent of pointer-based creation in C.


2. Binary Tree Diagram Used (Same as C Version)

            1
          /   \
         2     3
        / \
       4   5

3. What Does “Creating a Binary Tree” Mean in Python?

Definition 

Creating a binary tree in Python means defining a node class and linking node objects using left and right references to form a hierarchical structure.

Important clarification:

  • This is NOT insertion logic

  • Tree shape is explicitly defined


4. Node Class in Python

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

Explanation

  • data → stores node value

  • left → reference to left child

  • right → reference to right child

  • Python automatically handles memory allocation


5. Full Python Program – Binary Tree Creation

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

# Step 1: Create root node
root = Node(1)

# Step 2: Create left and right children of root
root.left = Node(2)
root.right = Node(3)

# Step 3: Create children of node 2
root.left.left = Node(4)
root.left.right = Node(5)

print("Binary Tree created successfully")

6. Step-by-Step Creation Explanation

  1. Node(1) → root node created

  2. Node(2) linked as left child of root

  3. Node(3) linked as right child of root

  4. Node(4) linked as left child of node 2

  5. Node(5) linked as right child of node 2

Tree structure now exactly matches the diagram.


7. Conceptual Memory Representation

root
 |
Node(1)
 /    \
Node(2) Node(3)
 /   \
Node(4) Node(5)

Each node is a separate object, connected via references.


8. Time and Space Complexity

Time Complexity

  • O(n) — number of nodes created

Space Complexity

  • O(n) — memory for n node objects


9. Difference Between C and Python Creation (Important)

AspectCPython
Memory allocationmalloc()Automatic
LinkingPointersObject references
DeallocationManual (free)Garbage collection

10. Common Student Mistakes

  • Forgetting to initialize left and right as None

  • Assuming Python automatically creates children

  • Confusing tree creation with insertion logic


11. Practice Questions

  1. Create a right-skewed binary tree in Python.

  2. Modify the tree to add one more level.

  3. Draw object reference diagram for the tree.

  4. What happens if left or right is not initialized?


12. Learning Outcome 

After this post, a student can:

  • Define a binary tree node class

  • Create any binary tree structure manually

  • Relate Python references to C pointers

  • Prepare for insertion and traversal logic


ALSO CHECK 

DS(Data Structure) Python&C Edition

DSA Series Chapter 1 Time & Space Complexity ( C Edition)

DSA Series Chapter 2 Arrays  (C Version)


DSA Series Chapter 2 Arrays  (Python Version)

DSA Series Chapter 3 Strings (C Version)


DSA Series Chapter 3 Strings (Python Version)


DSA Series Chapter 4 Linked Lists (Python Version)


DSA Series Chapter 4 Linked Lists (C Version)


DSA Series Chapter 5 Stacks (Python Version)


DSA Series Chapter 5  Stacks  (C Version)




















DSA Series Chapter 13 - Binary Tree traversal, BFS, DFT/DFS, Preorder Traversal In Binary Tree


DSA Series Chapter 14 - InOrder Traversal (Binary Tree C Version)


DSA Series Chapter 14 - InOrder Traversal (Binary Tree Python Version)

 

DSA Series Chapter 15 – POSTORDER TRAVERSAL (BINARY TREE)(Python Version)


DSA Series Chapter 15 – POSTORDER TRAVERSAL (BINARY TREE)(C Version)


DSA Series Chapter 16 – LEVEL ORDER TRAVERSAL(BINARY TREE BFS)(C Version)


DSA Series Chapter 16 – LEVEL ORDER TRAVERSAL(BINARY TREE BFS)(Python Version)

DSA Series Chapter 17 : CREATION OF BINARY TREE (C Version)

DSA Series Chapter 17 : CREATION OF BINARY TREE (Python Version)








Tail Recursion Optimization: How Compilers Convert Recursion Into Iteration


Advanced Recursion: Memoization vs. Tabulation — The Deep Optimization Blueprint for Professionals


Advanced Sorting Algorithms: Merge Sort Internals — Merge Tree, Cache Behavior & Real Cost Analysis


Enjoyed this post? [Follow here] for daily coding insights.




Comments