Latest articles, tutorials, and deep dives from ndlab tech blog.
Most developers use databases without knowing why they exist. Learn what a DBMS really does, why flat files fail at scale, and the trade-offs that make databases essential.
Divide and conquer is behind merge sort, binary search, and fast power. Master the split-solve-merge pattern and the Master Theorem for complexity analysis in one focused post.
Every recursive solution is secretly a tree traversal. Once you see that, pruning becomes obvious. Master the backtracking template and 4 problem types found in every interview.
Graphs intimidate more than any other topic — but most problems use just 4 techniques. Master BFS, DFS, topological sort, and union-find with a clear decision framework.
Trees are the most-tested structure in FAANG interviews. Master DFS, BFS, all traversals, LCA, path sums, and BST validation with a recursive framework that makes it click.
The hash map improves interview performance more than any other structure. Learn how it works, when O(1) breaks, and the 5 patterns covering 80% of hash-related problems.
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