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0+ curated questions with the same answer shape every time: quick recap, deep dive, pitfalls, and follow-ups. Coverage includes .
This module ties together the algorithmic thinking every fresher needs: sorting (know the trade-offs of merge sort vs quicksort vs insertion sort in interviews), binary search (the pattern, not just the textbook version — think search in rotated sorted array), recursion as a thinking tool, and the intro to dynamic programming through the classic coin-change / climbing-stairs / knapsack group. Big-O analysis is woven into every topic because every coding-round interviewer will ask 'what's the time complexity' — this module makes that question trivial to answer.
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Topics are ordered for learning. Within each topic, rows are numbered 1–0 globally so you always know where you are. Collapse topics if you want a lighter view — use Expand all when you need the full list again.
Numbers 1–0 follow the order we recommend — click any row to open the full answer, or use the sticky Next link at the bottom of each page to go Q1 → Q0.