- Pattern Recognition > Memorization Early on, I brute-forced everything. Then came the "aha!" moments:
Sliding Window for "subarray sum" problems.
DFS + Memoization for recursion-heavy puzzles.
Cycle Detection in graphs using Floyd’s Tortoise-Hare.
After 700+ problems, I’d see a problem and think: "This is just X pattern in disguise."
- Optimization as a Reflex Initially, O(N²) solutions passed. Then LeetCode slapped me with TLE (Time Limit Exceeded). Now:
I pre-calculate constraints before coding.
I ask: "Can I trade space for time? (DP) Can I binary search? (Optimization)"
Example: Solving "Minimum Window Substring" in O(n) instead of O(n²) felt like unlocking a superpower.
- Debugging with Precision Failed test cases stopped being frustrating. They became clues. I learned to:
Isolate edge cases (empty inputs, overflow, cyclic references).
Visualize recursion trees and pointer movements.
Use Systematic Print Debugging (yes, print() saves lives).
- Abstract Thinking Translates to Real Projects DSA isn’t just for interviews. Building my ML project? HashMaps optimized data lookup. Designing a game? BFS helped pathfinding. Suddenly, everything looked like a DSA problem.
My Toolkit: Resources That Accelerated Growth
takeUforward (Striver): His sheet’s structured progression (easy → hard) built my foundation.
LeetCode Discuss: Learning multiple solutions for one problem (e.g., "Word Ladder" with BFS vs. bi-directional BFS).
Visualizers: Tools like LeetCode Playground or Python Tutor for debugging recursion.
The Hard Truths I Learned
Consistency > Intensity: 2 problems/day > 20 problems/weekend.
Quality Solutions: Writing clean, reusable code > hacking together AC (Accepted) solutions.
Embrace Discomfort: Struggling with a DP problem for 3 hours taught me more than 10 easy problems.
Advice to Fellow Students
Start Small, Think Big: Master arrays/linked lists before jumping to DP.
Grind Smart: Focus on weak areas (e.g., I did 50 graph problems in 2 weeks).
Compete: Join LeetCode contests. Time pressure reveals gaps.
Build Stuff: Apply DSA in projects (e.g., implement Dijkstra’s algorithm in a route planner).
Conclusion: Beyond the Numbers
700+ problems didn’t just get me internship offers (though it did!). It taught me to dissect chaos into logic. Today, when I face a bug or design a system, I don’t panic—I break it down. That’s the real win.
"DSA isn’t about solving problems. It’s about training your brain to think in solutions."
Top comments (0)