Learn Data Structures & Algorithms — The Whole Map on One Poster

Data structures and algorithms feel enormous when you're staring at a list of 200 LeetCode problems. But the map is small: a simple learning loop, a short list of structures worth knowing cold, and a handful of patterns that show up again and again. Here's the whole thing on one sheet.

The learning loop

Progress in DSA isn't about grinding random problems — it's a loop you repeat: learn it → see it → practice it → spot the pattern → apply it. Each pass turns a topic from "I've heard of it" into "I can reach for it under pressure."

Structures worth knowing cold

You don't need every exotic structure. You need arrays, hash maps, stacks and queues, trees, and graphs in your fingertips — because almost every harder idea is built out of those. Learn how each one stores data and what it makes cheap (and expensive), and most problems start to sort themselves into buckets.

Patterns beat memorization

Interviews reward pattern recognition, not memorized solutions. Two pointers, sliding window, breadth- and depth-first search, binary search on the answer, and dynamic programming cover a huge share of questions. Once you can name the pattern a problem wants, the code is the easy part.

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This poster was generated with LineLapse — one topic in, one hand-drawn cheat sheet out. Make your own →