Topic hubs for coding interview prep. Each hub maps a core interview topic to the day lessons, blog deep dives, and complexity references you need to master it.
A complete dynamic programming interview prep hub: what DP is, the core DP patterns interviewers test, a day-by-day curriculum covering memoization, tabulation, knapsack, LCS, LIS, edit distance, and coin change, plus a complexity quick reference.
An arrays interview prep hub: why arrays dominate FAANG interviews, the core techniques (two pointers, sliding window, prefix sums, in-place operations), the day lessons that teach them, and a complexity quick reference for array operations and sorting.
A complete topic hub for graph algorithms in coding interviews. Covers what graphs are and how to represent them (adjacency list vs. matrix), when to choose BFS vs. DFS with full Python implementations, the shortest-path ladder from plain BFS through Dijkstra, Bellman-Ford, and Floyd-Warshall, and the five interview patterns that account for most graph questions: connected components and island counting, cycle detection, topological sort with Kahn's algorithm, grid-as-graph BFS, and union-find. Includes a curated problem list ordered from easy to hard, complexity tables, and links to the day-by-day graph lessons in the 60-day curriculum.
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