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12 hands-on data-structures & algorithms labs, in a learning order. Each one is interactive — you play, predict, and watch the cost fall — not a video.
New to algorithms? Work top to bottom — each lab builds intuition for the next. Prepping for interviews? Jump to any pattern. Every lab compares a naive approach with the optimized one and lets you try it yourself.
Start here. Learn the mindset of turning an obvious brute-force loop into a linear-time scan by moving pointers or reusing overlapping work.
See recursion as a tree of calls, spot the wasteful repeats, and watch a backtracking search commit, prune, and undo.
Trade exponential recursion for a table you fill once. Learn to read a recurrence off its dependencies.
The workhorses. Understand the access rules, the collision trade-offs, and why the shape of a structure decides its speed.
LIFO vs FIFO side by side — the same input, the opposite output order.
Insert & search paths, and how sorted input skews a tree to O(n).
Chaining vs linear probing, and how load factor wrecks performance.
Merge sets — union-by-rank + path compression flatten the forest.
Binary min-heap / priority queue — push bubbles up, pop sifts down; the array IS the tree.
Prefix tree — words share prefixes; autocomplete lights up every word beneath a prefix. O(L) lookup.
Put it together on weighted graphs, where a priority queue and greedy relaxation find shortest paths.
12 interactive DSA simulations — all free, no signup. Each pairs a brute-force and an optimized approach with a hands-on interaction.