Visual, beginner-friendly tour through search, graphs, dynamic programming, and big-O that relies on comics-style illustrations instead of dense proofs.

I revisited Grokking Algorithms, Second Edition this year while mentoring a cohort of bootcamp graduates, and it remains the most approachable algorithms primer I’ve ever handed out. The refreshed chapters weave in modern examples—Dijkstra’s for delivery routing, bloom filters for caching, union-find for social graphs—while the doodled walkthroughs keep every step approachable. We paired the recursion and dynamic programming chapters with short coding katas, and even the students who fear math were sketching state tables and big-O trade-offs by the end of the week. Manning added new drill problems and QR-linked animations, so it’s easy to reinforce each concept with exercises. You won’t get the depth of CLRS or The Algorithm Design Manual, but as a gateway resource for engineers moving from CRUD apps to performance-aware code, it’s still unbeatable.

Grokking Algorithms Second Edition: Visual Learning

Grokking Algorithms, Second Edition

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Grokking Algorithms, Second Edition