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DSA Pythonprogramming~10 mins

Dynamic Stack Using Resizable Array in DSA Python - Execution Trace

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Concept Flow - Dynamic Stack Using Resizable Array
Start
Push Element
Check Capacity
Add Element at Top
Yes
Resize Array (Double Size)
Copy Old Elements to New Array
Add Element at Top
Update Top Index
Pop Element
Check if Array is Too Large
Remove Top Element
Yes
Resize Array (Half Size)
Copy Elements to Smaller Array
Update Top Index
End
The stack adds elements at the top, resizing the array when full by doubling its size, and shrinks the array by half when too empty after popping.
Execution Sample
DSA Python
stack = DynamicStack()
stack.push(10)
stack.push(20)
stack.push(30)
stack.pop()
stack.push(40)
This code pushes three elements, pops one, then pushes another, showing dynamic resizing and stack state changes.
Execution Table
StepOperationTop IndexArray CapacityNodes in StackPointer ChangesVisual State
1Initialize stack-120top = -1[] (empty)
2Push 10021top = 0[10, _]
3Push 20122top = 1[10, 20]
4Push 30 (resize)243Resize: capacity 2->4, top=2[10, 20, 30, _]
5Pop (remove 30)142top = 1[10, 20, _, _]
6Push 40243top = 2[10, 20, 40, _]
💡 Execution stops after final push; stack has 3 elements with capacity 4.
Variable Tracker
VariableStartAfter Step 2After Step 3After Step 4After Step 5After Step 6
top-101212
capacity222444
stack array[][10, _][10, 20][10, 20, 30, _][10, 20, _, _][10, 20, 40, _]
size012323
Key Moments - 3 Insights
Why does the stack resize when pushing the third element?
At step 4 in the execution_table, the array capacity is full (2), so it doubles to 4 before adding the new element.
Why does the top index decrease after popping an element?
At step 5, popping removes the top element, so top moves from 2 to 1 to point to the new top element.
Why don't we shrink the array immediately after popping one element?
The stack only shrinks when usage is low to avoid frequent resizing; here capacity remains 4 after pop at step 5.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table at step 4. What is the new capacity of the array after resizing?
A4
B3
C2
D6
💡 Hint
Check the 'Array Capacity' column at step 4 in the execution_table.
At which step does the top index become 1?
AStep 2
BStep 3
CStep 5
DStep 6
💡 Hint
Look at the 'Top Index' column in the execution_table and variable_tracker.
If we push one more element after step 6, what will happen to the array capacity?
AIt will double from 4 to 8
BIt will stay at 4
CIt will shrink to 2
DIt will increase by 1
💡 Hint
At step 6, capacity is 4 and size is 3; pushing one more element fills capacity and triggers resizing.
Concept Snapshot
Dynamic Stack Using Resizable Array:
- Uses an array to store stack elements
- top index tracks the last element
- Push adds element; if full, array doubles size
- Pop removes element; array can shrink if too empty
- Resizing copies elements to new array
- Efficient memory use with dynamic resizing
Full Transcript
This visualization shows a dynamic stack implemented with a resizable array. The stack starts empty with capacity 2. Each push adds an element at the top index. When pushing the third element, the array is full, so it resizes by doubling capacity to 4 and copies existing elements. Popping removes the top element and moves the top index down. The array does not shrink immediately after one pop to avoid frequent resizing. The visual state shows the array contents and top pointer after each operation, helping understand how the stack grows and shrinks dynamically.