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DSA Pythonprogramming~10 mins

Create a Binary Tree Manually in DSA Python - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to create a new node with value 10.

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

root = Node([1])
Drag options to blanks, or click blank then click option'
A10
Broot
CNone
D'10'
Attempts:
3 left
💡 Hint
Common Mistakes
Using quotes around 10, which makes it a string instead of an integer.
Assigning None instead of a value.
2fill in blank
medium

Complete the code to assign a left child node with value 5 to the root.

DSA Python
root.left = Node([1])
Drag options to blanks, or click blank then click option'
A5
BNone
C'5'
Droot
Attempts:
3 left
💡 Hint
Common Mistakes
Using quotes around 5, making it a string.
Assigning None instead of a node.
3fill in blank
hard

Fix the error in assigning the right child node with value 15 to the root.

DSA Python
root.right = Node([1])
Drag options to blanks, or click blank then click option'
ANone
B'15'
Croot
D15
Attempts:
3 left
💡 Hint
Common Mistakes
Using quotes around 15, making it a string.
Assigning None instead of a node.
4fill in blank
hard

Fill both blanks to assign left and right children to the left child node.

DSA Python
root.left.left = Node([1])
root.left.right = Node([2])
Drag options to blanks, or click blank then click option'
A3
B7
C'3'
D'7'
Attempts:
3 left
💡 Hint
Common Mistakes
Using strings instead of integers for node values.
Mixing up left and right child assignments.
5fill in blank
hard

Fill all three blanks to assign left, right children to right child node and print root data.

DSA Python
root.right.left = Node([1])
root.right.right = Node([2])
print(root[3])
Drag options to blanks, or click blank then click option'
A13
B20
C.data
D.left
Attempts:
3 left
💡 Hint
Common Mistakes
Using strings instead of integers for node values.
Printing root without .data to access the value.

Practice

(1/5)
1. What is the correct way to create a root node manually in a binary tree using a simple class with attributes data, left, and right?
easy
A. root = Node(10) # creates root with data 10 and no children
B. root = Node() # creates root with no data
C. root = Node.left(10) # creates left child with data 10
D. root = Node.right(10) # creates right child with data 10

Solution

  1. Step 1: Understand Node class constructor

    The Node class constructor takes data as an argument and initializes left and right children as None.
  2. Step 2: Create root node with data

    Using root = Node(10) creates a root node with data 10 and no children.
  3. Final Answer:

    root = Node(10) # creates root with data 10 and no children -> Option A
  4. Quick Check:

    Create root node with data = root = Node(10) [OK]
Hint: Use Node(data) to create a node with data and empty children [OK]
Common Mistakes:
  • Trying to create children directly without root
  • Calling left or right as methods
  • Creating node without data when constructor requires it
2. Which of the following code snippets correctly assigns a left child node with data 5 to an existing root node named root?
easy
A. root.left = 5
B. root.left(5)
C. root.left.data = 5
D. root.left = Node(5)

Solution

  1. Step 1: Assign a new Node object to root.left

    To add a left child, assign a new Node instance with data 5 to root.left.
  2. Step 2: Check syntax correctness

    root.left = Node(5) correctly creates and assigns the left child node.
  3. Final Answer:

    root.left = Node(5) -> Option D
  4. Quick Check:

    Assign left child node = root.left = Node(5) [OK]
Hint: Assign Node(data) to left or right attribute to add child [OK]
Common Mistakes:
  • Calling left as a function instead of assigning
  • Assigning data directly without creating Node
  • Assigning integer directly to left attribute
3. Given the following code, what is the printed output representing the tree structure?
class Node:
    def __init__(self, data):
        self.data = data
        self.left = None
        self.right = None

def print_tree(node):
    if node is None:
        return "null"
    left_str = print_tree(node.left)
    right_str = print_tree(node.right)
    return f"{node.data} -> {left_str} -> {right_str}"

root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
print(print_tree(root))
medium
A. 1 -> 2 -> 4 -> null -> null -> 3 -> null -> null
B. 1 -> 2 -> 4 -> null -> null -> null -> 3 -> null -> null
C. 1 -> 2 -> null -> 4 -> null -> null -> 3 -> null -> null
D. 1 -> 2 -> 4 -> null -> null -> null -> 3 -> null

Solution

  1. Step 1: Trace print_tree calls recursively

    Starting at root (1), print left subtree (2) then right subtree (3). Node 2 has left child 4 and no right child. Node 4 has no children.
  2. Step 2: Build output string step-by-step

    Node 4 returns "4 -> null -> null". Node 2 returns "2 -> 4 -> null -> null -> null". Node 3 returns "3 -> null -> null". Root returns "1 -> 2 -> 4 -> null -> null -> null -> 3 -> null -> null".
  3. Final Answer:

    1 -> 2 -> 4 -> null -> null -> null -> 3 -> null -> null -> Option B
  4. Quick Check:

    Recursive print_tree output = 1 -> 2 -> 4 -> null -> null -> null -> 3 -> null -> null [OK]
Hint: Trace recursion left-right-null to build output string [OK]
Common Mistakes:
  • Missing null for empty children
  • Confusing order of left and right
  • Skipping nodes with no children
4. The following code attempts to create a binary tree but throws an error. What is the error and how to fix it?
class Node:
    def __init__(self, data):
        self.data = data
        self.left = None
        self.right = None

root = Node(10)
root.left = Node(5)
root.right = Node(15)
root.left.left = 3  # Error here
medium
A. root.left.left should be root.left.right
B. Missing parentheses when creating Node for left child
C. Assigning integer 3 directly to left child instead of Node object
D. Node class missing __str__ method

Solution

  1. Step 1: Identify the error in assignment

    Assigning 3 directly to root.left.left is wrong because it expects a Node object, not an integer.
  2. Step 2: Fix by creating a Node object for left child

    Replace root.left.left = 3 with root.left.left = Node(3) to create a proper child node.
  3. Final Answer:

    Assigning integer 3 directly to left child instead of Node object -> Option C
  4. Quick Check:

    Child nodes must be Node objects, not raw values [OK]
Hint: Always assign Node(data) to left/right, not raw values [OK]
Common Mistakes:
  • Assigning raw data instead of Node instance
  • Confusing left and right child assignments
  • Ignoring error messages about attribute access
5. You want to manually create this binary tree:
      10
     /  \
    5    15
     \     \
      7     20

Which code snippet correctly creates this tree?
hard
A. root = Node(10) root.left = Node(5) root.right = Node(15) root.left.right = Node(7) root.right.right = Node(20)
B. root = Node(10) root.left = Node(5) root.right = Node(15) root.left.left = Node(7) root.right.left = Node(20)
C. root = Node(10) root.left = Node(7) root.right = Node(5) root.left.right = Node(20) root.right.right = Node(15)
D. root = Node(10) root.left = Node(5) root.right = Node(15) root.left.right = Node(20) root.right.right = Node(7)

Solution

  1. Step 1: Create root and immediate children

    Root is 10, left child 5, right child 15.
  2. Step 2: Add right child 7 to left node and right child 20 to right node

    Node 5 has right child 7, node 15 has right child 20.
  3. Step 3: Verify tree matches diagram

    root = Node(10) root.left = Node(5) root.right = Node(15) root.left.right = Node(7) root.right.right = Node(20) matches the structure exactly with correct child assignments.
  4. Final Answer:

    Code in Option A correctly creates the tree -> Option A
  5. Quick Check:

    Assign children as per diagram: left.right=7, right.right=20 [OK]
Hint: Match tree diagram child positions carefully when assigning nodes [OK]
Common Mistakes:
  • Assigning children to wrong side (left vs right)
  • Swapping node data values
  • Missing intermediate child nodes
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