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FreeData Structure and Algorithm Patterns for LeetCode Interviews – Tutorial
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Rather than teaching each data structure in isolation, this tutorial organises its material around recurring problem shapes. Two pointers, sliding windows, binary search, traversal and backtracking each get their own explanation followed by practice problems, which mirrors how interview questions are often recognised.
Candidates who know the basic structures but struggle to choose an approach when a new problem appears. Work the practice segments alongside the lessons rather than watching straight through.
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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