Traversal Forward and Backward in DSA Python - Time & Space Complexity
When we move through a list or collection from start to end and then back again, we want to know how long it takes. This helps us understand how the work grows as the list gets bigger.
We ask: How does the time to go forward and backward change with the size of the list?
Analyze the time complexity of the following code snippet.
def traverse_forward_backward(arr):
# Traverse forward
for i in range(len(arr)):
print(arr[i])
# Traverse backward
for i in range(len(arr) - 1, -1, -1):
print(arr[i])
This code goes through the list from the first item to the last, then from the last item back to the first.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: Two separate loops each visiting every item once.
- How many times: Each loop runs exactly n times, where n is the list size.
As the list grows, the total steps grow roughly twice as much because we go forward and backward.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 20 (10 forward + 10 backward) |
| 100 | 200 (100 forward + 100 backward) |
| 1000 | 2000 (1000 forward + 1000 backward) |
Pattern observation: The total steps grow linearly with the list size, doubling because of two passes.
Time Complexity: O(n)
This means the time to complete the forward and backward traversal grows in a straight line with the size of the list.
[X] Wrong: "Because there are two loops, the time complexity is O(n²)."
[OK] Correct: The loops run one after another, not inside each other, so their times add up, not multiply.
Understanding how multiple passes over data add up helps you explain your code clearly and shows you know how to judge efficiency in real tasks.
"What if we combined the forward and backward traversal into a single loop that prints two items per step? How would the time complexity change?"
Practice
traversal forward mean when moving through a list?Solution
Step 1: Understand traversal direction
Traversal forward means starting at the beginning of the list and moving step-by-step to the end.Step 2: Compare options
Only Visiting elements from the first to the last describes visiting elements from first to last, which matches forward traversal.Final Answer:
Visiting elements from the first to the last -> Option CQuick Check:
Forward traversal = first to last [OK]
- Confusing forward with backward traversal
- Thinking traversal means skipping elements
- Assuming traversal is random
items backward?Solution
Step 1: Identify backward traversal syntax
Backward traversal uses a loop that starts from the last index and moves to the first, decreasing the index.Step 2: Check each option
for i in range(len(items)-1, -1, -1): print(items[i]) usesrange(len(items)-1, -1, -1), which counts backward correctly.Final Answer:
for i in range(len(items)-1, -1, -1): print(items[i]) -> Option BQuick Check:
Backward loop uses decreasing range [OK]
- Using range(len(items)) for backward traversal
- Forgetting to set step as -1
- Using direct iteration which is forward only
items = [10, 20, 30]
for i in range(len(items)-1, -1, -1):
print(items[i], end=' ')Solution
Step 1: Understand the loop range
The loop runs from index 2 down to 0 (inclusive), so it visits indices 2, 1, 0 in order.Step 2: Print elements in backward order
items[2] = 30, items[1] = 20, items[0] = 10, printed with spaces.Final Answer:
30 20 10 -> Option AQuick Check:
Backward print = 30 20 10 [OK]
- Confusing index order and printing forward
- Misreading range parameters
- Expecting index numbers instead of list values
items = [1, 2, 3, 4]
for i in range(len(items)):
print(items[len(items)-i])Solution
Step 1: Analyze index calculation
Index used islen(items)-i. For i=0, index is 4, which is out of range (max index 3).Step 2: Identify error type
Accessing index 4 causes IndexError because list indices go from 0 to 3.Final Answer:
IndexError due to out-of-range index -> Option AQuick Check:
Index out of range = IndexError [OK]
- Using len(items)-i instead of len(items)-1-i
- Ignoring zero-based indexing
- Assuming no error if code runs partially
head and tail, which approach correctly prints all elements forward then backward?Solution
Step 1: Understand doubly linked list traversal
Doubly linked lists allow moving forward from head to tail and backward from tail to head using next and prev pointers.Step 2: Identify correct traversal order
To print forward then backward, first traverse from head to tail, then from tail to head.Final Answer:
Traverse from head to tail printing, then from tail to head printing -> Option DQuick Check:
Forward then backward traversal = head to tail, tail to head [OK]
- Trying to traverse backward without tail pointer
- Traversing forward twice instead of backward
- Assuming singly linked list can traverse backward
Ready to prove it?
Pass the test and this pattern moves unknown
