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DSA Pythonprogramming~10 mins

Search for a Value in Linked List in DSA Python - Interactive Practice

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

Complete the code to start traversing the linked list from the head node.

DSA Python
current = [1]
Drag options to blanks, or click blank then click option'
Atail
Bhead
CNone
Dnext
Attempts:
3 left
💡 Hint
Common Mistakes
Starting traversal from tail instead of head.
Assigning current to None initially.
2fill in blank
medium

Complete the code to move to the next node in the linked list during traversal.

DSA Python
current = current[1]
Drag options to blanks, or click blank then click option'
A.next
B.head
C.prev
D.tail
Attempts:
3 left
💡 Hint
Common Mistakes
Using prev which is for doubly linked lists.
Using head or tail which are not node attributes.
3fill in blank
hard

Fix the error in the condition to check if the current node's value matches the target.

DSA Python
if current[1] == target:
Drag options to blanks, or click blank then click option'
A.data
B.value
C.val
D.key
Attempts:
3 left
💡 Hint
Common Mistakes
Using val or value when the node uses data.
Using key which is not typical for linked list nodes.
4fill in blank
hard

Fill both blanks to complete the while loop that searches the linked list for the target value.

DSA Python
while current is not [1] and current.[2] != target:
    current = current.next
Drag options to blanks, or click blank then click option'
ANone
Bdata
Cvalue
Dhead
Attempts:
3 left
💡 Hint
Common Mistakes
Using head instead of None.
Checking current.value when the attribute is data.
5fill in blank
hard

Fill all three blanks to return True if the target is found, otherwise False after the loop.

DSA Python
if current is not [1] and current.[2] == [3]:
    return True
else:
    return False
Drag options to blanks, or click blank then click option'
ANone
Bdata
Ctarget
Dhead
Attempts:
3 left
💡 Hint
Common Mistakes
Comparing with head instead of None.
Using wrong attribute name instead of data.
Comparing with a wrong variable instead of target.

Practice

(1/5)
1. What does searching for a value in a linked list involve?
easy
A. Sorting the list first then searching for the value
B. Jumping directly to the middle node to find the value
C. Checking each node one by one until the value is found or list ends
D. Using an index to access the value directly

Solution

  1. Step 1: Understand linked list traversal

    Linked lists do not have indexes, so we must check nodes one by one from the start.
  2. Step 2: Search each node for the value

    We compare the target value with each node's data until we find a match or reach the end.
  3. Final Answer:

    Checking each node one by one until the value is found or list ends -> Option C
  4. Quick Check:

    Search = Sequential check [OK]
Hint: Traverse nodes sequentially to find the value [OK]
Common Mistakes:
  • Assuming direct access by index
  • Trying to jump to middle node without traversal
  • Sorting before searching in linked list
2. Which of the following is the correct way to start searching for a value in a singly linked list named head?
easy
A. current = head.next
B. current = head
C. current = None
D. current = head.prev

Solution

  1. Step 1: Identify the starting node

    Search starts from the first node, which is referenced by head.
  2. Step 2: Assign current pointer correctly

    Set current = head to begin traversal from the first node.
  3. Final Answer:

    current = head -> Option B
  4. Quick Check:

    Start at head node [OK]
Hint: Always start search from head node [OK]
Common Mistakes:
  • Starting from head.next skips first node
  • Setting current to None causes no traversal
  • Using head.prev in singly linked list (no prev pointer)
3. What will be the output of the following code?
class Node:
    def __init__(self, data):
        self.data = data
        self.next = None

def search(head, target):
    current = head
    while current:
        if current.data == target:
            return True
        current = current.next
    return False

# Create linked list: 5 -> 10 -> 15 -> None
head = Node(5)
head.next = Node(10)
head.next.next = Node(15)

print(search(head, 10))
print(search(head, 20))
medium
A. True\nFalse
B. False\nTrue
C. True\nTrue
D. False\nFalse

Solution

  1. Step 1: Trace search for 10

    Nodes checked: 5 (no), 10 (yes) -> returns True.
  2. Step 2: Trace search for 20

    Nodes checked: 5, 10, 15 (none match) -> returns False.
  3. Final Answer:

    True\nFalse -> Option A
  4. Quick Check:

    10 found, 20 not found [OK]
Hint: Return True immediately when value found [OK]
Common Mistakes:
  • Returning False too early
  • Not moving to next node correctly
  • Confusing True/False outputs
4. Find the error in this search function for a linked list:
def search(head, target):
    current = head
    while current.next:
        if current.data == target:
            return True
        current = current.next
    return False
medium
A. The loop condition should be while current, not while current.next
B. The return False should be inside the loop
C. The function should return the node, not True
D. The current pointer should start at head.next

Solution

  1. Step 1: Analyze loop condition

    Using while current.next skips checking the last node.
  2. Step 2: Correct loop to include last node

    Change to while current to check all nodes including last.
  3. Final Answer:

    The loop condition should be while current, not while current.next -> Option A
  4. Quick Check:

    Loop must check all nodes [OK]
Hint: Use while current to include last node in search [OK]
Common Mistakes:
  • Stopping before last node
  • Returning False too early
  • Starting current at head.next skips first node
5. You have a linked list with nodes containing values: 3 -> 7 -> 3 -> 9 -> None. You want to find if value 3 exists and also count how many times it appears. Which approach correctly combines search and count?
hard
A. Use recursion to find first 3, then stop
B. Search for 3 once, then traverse again to count occurrences
C. Sort the list first, then count consecutive 3s
D. Traverse the list once, increment count each time node data equals 3, then check if count > 0

Solution

  1. Step 1: Traverse list once counting matches

    Check each node; if data is 3, increase count.
  2. Step 2: After traversal, check if count > 0

    If count is more than zero, value 3 exists and count shows occurrences.
  3. Final Answer:

    Traverse the list once, increment count each time node data equals 3, then check if count > 0 -> Option D
  4. Quick Check:

    Single pass count and check [OK]
Hint: Count while searching in one pass [OK]
Common Mistakes:
  • Doing two separate traversals
  • Sorting linked list unnecessarily
  • Stopping after first find without counting all
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10 questions~5 mineasy hard