This content originally appeared on DEV Community and was authored by LAKSHMI MEGHANA CHENNUPALLI
I’ve always believed that strong problem-solving skills are the backbone of software engineering. Recently, I started focusing on Data Structures & Algorithms (DSA), solving problems on platforms like LeetCode and Codeforces.
In my first post, I want to share how I approach a DSA problem:
Understand the Problem: Carefully read the problem statement and constraints.
Plan My Approach: Choose the right data structures and algorithm.
Write the Code: Start with a simple, working solution, then optimize.
Test Thoroughly: Run edge cases to ensure correctness.
Here’s a small example of solving a Maximum Subarray Sum in C++:
include
using namespace std;
int maxSubArray(vector& nums) {
int maxSum = nums[0], current = nums[0];
for(int i=1; i<nums.size(); i++){
current = max(nums[i], current + nums[i]);
maxSum = max(maxSum, current);
}
return maxSum;
}
int main() {
vector nums = {-2,1,-3,4,-1,2,1,-5,4};
cout << "Maximum Subarray Sum: " << maxSubArray(nums);
return 0;
}
Key Takeaways:
Breaking problems into smaller steps helps avoid confusion.
DSA mastery is a journey, and consistency is the key.
Sharing knowledge reinforces your own learning!
I’ll be publishing more DSA problem-solving posts and tutorials soon. Feedback and suggestions are welcome!
DSA #Cpp #ProblemSolving #Algorithms #SoftwareEngineering #DevCommunity
This content originally appeared on DEV Community and was authored by LAKSHMI MEGHANA CHENNUPALLI
LAKSHMI MEGHANA CHENNUPALLI | Sciencx (2025-10-22T08:13:23+00:00) My First Deep Dive into DSA: Solving Problems Step by Step. Retrieved from https://www.scien.cx/2025/10/22/my-first-deep-dive-into-dsa-solving-problems-step-by-step/
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