Mastering Data Structures: The Foundation of Efficient Software
Data structures for efficient software: arrays, linked lists, stacks, queues, trees, hash maps, heaps. Big-O trade-offs and when each structure actually wins.
Data structures for efficient software: arrays, linked lists, stacks, queues, trees, hash maps, heaps. Big-O trade-offs and when each structure actually wins.
A comprehensive beginner's guide to algorithms, explained in a warm, approachable way with real examples, insights from Lisp, and step-by-step exploration.
Prepare for coding interviews with this in-depth, friendly guide that covers strategies, pitfalls, and real-world insights into technical interviews.
10 algorithms that changed computer science forever: from Dijkstra and binary search to PageRank, RSA, and backprop. Why each still shows up in modern systems.
Dynamic programming in JavaScript: memoization, tabulation, state design — walked through classic LeetCode problems with runnable JS code.