What if you could remove the last item instantly without searching through the whole list?
Why Delete from End of Doubly Linked List in DSA Python?
Imagine you have a long chain of paper clips linked together. You want to remove the last paper clip from the chain. If you try to do this by starting from the first clip and moving one by one to the end every time, it will take a lot of time and effort.
Manually moving through the entire chain to find the last clip is slow and tiring. It's easy to lose track or make mistakes, especially if the chain is very long. This makes removing the last item inefficient and frustrating.
A doubly linked list keeps track of both the start and the end of the chain. This way, you can quickly find and remove the last item without checking every single one before it. It saves time and reduces errors.
current = head while current.next is not None: current = current.next current.previous.next = None
if tail is not None: tail = tail.previous if tail is not None: tail.next = None
This lets you quickly and safely remove the last item from a list, making your programs faster and easier to manage.
Think of a music playlist where you want to remove the last song you added. Using a doubly linked list, you can instantly jump to the last song and remove it without going through the entire playlist.
Manually finding the last item is slow and error-prone.
Doubly linked lists keep track of the end, allowing quick removal.
This operation makes managing lists faster and simpler.
Practice
Solution
Step 1: Identify the last node and update pointers
In a doubly linked list, the last node is the tail node which has its next pointer as null. Deleting the last node means updating the tail pointer to the previous node and setting its next pointer to null. The second last node becomes the new tail.Final Answer:
The last node is removed and the second last node becomes the new tail. -> Option AQuick Check:
Delete end node = tail moves back [OK]
- Removing the head instead of the tail
- Not updating the tail pointer
- Leaving the next pointer of new tail non-null
Solution
Step 1: Move tail pointer and update next
To delete the last node, move tail to tail.prev (second last node), then set tail.next to None to mark the end of the list.Final Answer:
tail = tail.prev; tail.next = None -> Option DQuick Check:
Correct tail update syntax = tail = tail.prev; tail.next = None [OK]
- Moving tail forward instead of backward
- Setting prev pointer instead of next
- Changing head pointer instead of tail
Initial list: 10 <-> 20 <-> 30 <-> 40 <-> None Operation: Delete from endWhat is the resulting list?
Solution
Step 1: Identify last node and update
The last node is 40, which is removed by setting node 30's next pointer to None, making it the new tail. Result: 10 <-> 20 <-> 30 <-> None.Final Answer:
10 <-> 20 <-> 30 <-> None -> Option BQuick Check:
Last node 40 removed, tail is 30 [OK]
- Not updating the next pointer of new tail
- Removing the wrong node (head or middle)
- Leaving dangling pointers causing errors
if tail is None:
print('List is empty')
else:
tail = tail.prev
tail.next = None
What error can occur when this code runs on a list with only one node?Solution
Step 1: Trace execution for single node
For one node, tail.prev is None, so tail = None, then tail.next = None accesses None.next causing AttributeError.Final Answer:
AttributeError because tail.prev is None and tail.next is accessed -> Option AQuick Check:
Single node delete needs extra check [OK]
- Not handling single node list case
- Assuming tail.prev always exists
- Ignoring NoneType attribute errors
Solution
Step 1: Perform two deletions
Initial: 5 <-> 15 <-> 25 <-> 35 <-> 45. First delete removes 45 (tail=35). Second delete removes 35 (tail=25). Final: 5 <-> 15 <-> 25 <-> None.Final Answer:
5 <-> 15 <-> 25 <-> None -> Option CQuick Check:
Two deletes remove last two nodes [OK]
- Deleting only one node instead of two
- Not updating tail pointer after each delete
- Confusing head and tail nodes
Ready to prove it?
Pass the test and this pattern moves unknown
