FAANG Coding Interview Preparation Guide
Strategic approach to preparing for technical interviews at top tech companies including Amazon, Google, Microsoft, and Meta.
Strategic approach to preparing for technical interviews at top tech companies including Amazon, Google, Microsoft, and Meta.
Master Fenwick trees (binary indexed trees) for O(log n) prefix sum queries and point updates. Learn the elegant bit-trick implementation and when to choose BIT over segment trees.
Master the Floyd-Warshall algorithm for finding shortest paths between all pairs of vertices in weighted graphs, with implementation examples and trade-offs.
Master graph representations (adjacency list and matrix), BFS, DFS, and when to use each representation.
Learn when greedy algorithms work, how to prove correctness using exchange arguments, and common greedy patterns.
Master hash table fundamentals, collision handling, load factor, and practical applications of hash sets and maps.
Master heap data structure, heap operations, priority queue implementation, and heap sort with binary and Fibonacci heap variants.
Deep dive into each major sorting algorithm with implementations, complexity analysis, and when to use each.
Master the 0/1, unbounded, and fractional knapsack variants with DP solutions and optimization techniques for resource allocation problems.
Find strongly connected components using the two-pass Kosaraju's algorithm with graph transpose and DFS finishing times.