When you start practicing coding, one of the first data structures you’ll encounter is the Stack. At first glance, it may seem like a simple structure a pile of items where you can only add or remove from the top. But in reality, stacks are the backbone of solving many real-world and competitive programming problems.

From checking balanced parentheses to evaluating expressions, from undo features in editors to recursive function calls stacks are everywhere. In this blog, we’ll break down what a stack is, how it works, and how you can use it to solve daily coding problems with examples.
A Stack is a linear data structure that follows the LIFO (Last In, First Out) principle.
1. Push → Add an element to the top of the stack.
2. Pop → Remove the top element.
3. Peek/Top → View the top element without removing it.
4. isEmpty() → Check if the stack is empty.
Stacks simplify problems where order matters and where we need to reverse operations. They are especially useful for:
Problem: Check if a string of brackets is balanced (e.g., {[()]} is balanced, but {[(])} is not).
Code (C++):
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#include <iostream>
#include <stack>
using namespace std;
bool isBalanced(string s) {
stack<char> st;
for (char ch : s) {
if (ch == '(' || ch == '{' || ch == '[') {
st.push(ch);
} else {
if (st.empty()) return false;
char top = st.top();
if ((ch == ')' && top != '(') ||
(ch == '}' && top != '{') ||
(ch == ']' && top != '[')) {
return false;
}
st.pop();
}
}
return st.empty();
}
int main() {
string s = "{[()]}";
cout << (isBalanced(s) ? "Balanced" : "Not Balanced");
}Output:
Balanced
This is one of the most popular stack problems in coding interviews.
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#include <iostream>
#include <stack>
using namespace std;
string reverseString(string s) {
stack<char> st;
for (char ch : s) st.push(ch);
string rev = "";
while (!st.empty()) {
rev += st.top();
st.pop();
}
return rev;
}
int main() {
string s = "hello";
cout << "Reversed: " << reverseString(s);
}Output:
Reversed: olleh
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#include <iostream>
#include <stack>
using namespace std;
int evaluatePostfix(string exp) {
stack<int> st;
for (char ch : exp) {
if (isdigit(ch)) {
st.push(ch - '0'); // convert char to int
} else {
int val2 = st.top(); st.pop();
int val1 = st.top(); st.pop();
switch (ch) {
case '+': st.push(val1 + val2); break;
case '-': st.push(val1 - val2); break;
case '*': st.push(val1 * val2); break;
case '/': st.push(val1 / val2); break;
}
}
}
return st.top();
}
int main() {
string exp = "231*+9-"; // (2 + (3 * 1)) - 9 = -4
cout << "Postfix Evaluation: " << evaluatePostfix(exp);
}Output:
Postfix Evaluation: -4
Many applications (like MS Word, Notepad, and even coding IDEs) use stacks to implement the Undo feature.
You can simulate this in code with two stacks:
Problem: Given stock prices for n days, find the span of stock’s price for each day. The span is the number of consecutive days before the given day, where the stock price was less than or equal to today’s price.
Input: [100, 80, 60, 70, 60, 75, 85]
Output: [1, 1, 1, 2, 1, 4, 6]
This is solved efficiently using a stack.
Q1. Why is stack called LIFO?
Because the last element inserted is the first one removed, just like a stack of plates.
Q2. Which real-world problems use stacks?
Undo/redo, expression evaluation, browser history, function calls in recursion.
Q3. What is the time complexity of stack operations?
Push, pop, and peek all take O(1) time.
Q4. How is stack different from queue?
Stack follows LIFO (Last In, First Out) while Queue follows FIFO (First In, First Out).
Q5. Is stack important for interviews?
Yes! Stack-based problems like balanced parentheses, expression evaluation, and stock span are interview favorites.
The stack may seem like a small and simple data structure, but its applications are vast. Whether it’s solving balanced parentheses, reversing strings, evaluating expressions, or implementing undo functionality, stacks are everywhere in coding.
If you’re preparing for coding interviews, mastering stack problems is a must. Start practicing with easy problems and gradually move to advanced ones like stock span, trapping rainwater, and histogram problems.
👉 Want to master data structures and algorithms with hands-on practice? Check out Uncodemy’s DSA Courses and get guided by industry experts.
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