The first complete subject in LMNTS is here. Data Structures & Algorithms is mapped from arrays to amortized analysis — not as a reading list, but as a directed graph of what depends on what. You always know the next concept worth learning, and why it comes next.

A map, not a playlist

Most courses hand you a linear sequence and hope the dependencies line up. Real understanding is a graph. Binary search leans on sorted order; dynamic programming leans on recursion and recurrence. The DSA map encodes those edges directly, so a concept only opens once the ideas it rests on are proven.

What's inside

• Foundations: arrays, strings, complexity, and the language of growth.
• Core: sorting, searching, hashing, stacks, queues, and trees.
• Advanced: graphs, dynamic programming, and greedy reasoning.
• Frontier: amortized analysis and the trade-offs behind real systems.

A concept only counts once you can prove you still understand it.

Open the map, pick a starting point, and watch the journal fill in as you prove each idea. Operating Systems and Linear Algebra are next, built to exactly the same standard.