This is a comprehensive course on data structures and algorithms. @algo.monster will break down the most essential data structures—like arrays, strings, sets, hashmaps, and heaps, and he'll show you exactly how and when to use them. You’ll also master core algorithmic patterns such as two pointers, sliding windows, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking, all explained with clear examples and real interview problems.
⭐️ Contents ⭐️
⌨️ (0:00:00) Array
⌨️ (0:03:11) String
⌨️ (0:04:56) Set
⌨️ (0:06:40) Control Flow & Looping
⌨️ (0:07:32) Big O Notation
⌨️ (0:10:02) Hashmap
⌨️ (0:15:54) Hashmap practice problems
⌨️ (0:18:52) Two Pointers
⌨️ (0:22:56) Two Pointers practice problems
⌨️ (0:26:48) Sliding Window
⌨️ (0:31:45) Sliding Window practice problems
⌨️ (0:37:39) Binary Search
⌨️ (0:39:28) Binary Search practice problems
⌨️ (0:48:28) Breadth-First Search (BFS) on Trees
⌨️ (0:50:36) BFS on Graphs
⌨️ (0:52:13) BFS practice problems
⌨️ (0:57:31) Depth-First Search (DFS)
⌨️ (0:59:01) DFS on Graphs
⌨️ (1:00:24) DFS practice problems
⌨️ (1:05:01) Backtracking
⌨️ (1:08:14) Backtracking practice problems
⌨️ (1:10:27) Priority Queue/heap
⌨️ (1:11:36) Priority Queue/heap practice problems
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