Chapters (23)
- 0:00Array
- 3:11String
- 4:56Set
- 6:40Control Flow & Looping
- 7:32Big O Notation
- 10:02Hashmap
- 15:54Hashmap practice problems
- 18:52Two Pointers
- 22:56Two Pointers practice problems
- 26:48Sliding Window
- 31:45Sliding Window practice problems
- 37:39Binary Search
- 39:28Binary Search practice problems
- 48:28Breadth-First Search (BFS) on Trees
- 50:36BFS on Graphs
- 52:13BFS practice problems
- 57:31Depth-First Search (DFS)
- 59:01DFS on Graphs
- 1:00:24DFS practice problems
- 1:05:01Backtracking
- 1:08:14Backtracking practice problems
- 1:10:27Priority Queue/heap
- 1:11:36Priority Queue/heap practice problems
Show the creator's full description
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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