LeetCode 75 C++ | Step-by-Step Solutions (LAN Academy) - LeetCode 208: Implement Trie — Prefix Tree for Autocomplete | C++

LeetCode 208. Implement Trie (Prefix Tree) — build a Trie that supports: insert(word) search(word) startsWith(prefix) Trie is a core data structure behind autocomplete, prefix search, and spellcheckers. In this video you’ll learn: - The Trie node structure (children + end flag) - How insert, search, and startsWith work - Time complexity per operation - Edge cases and clean C++ code Approach: Each node stores: - 26 links (one per lowercase letter) - a boolean end marker for complete words Operations: - insert: walk/create nodes along the word, mark end - search: walk nodes, return true only if end is marked - startsWith: walk nodes, return true if prefix path exists Complexity: Time per operation: O(L), where L is the word length Extra space: O(total characters inserted) Leetcode playlist: https://www.youtube.com/playlist?list=PLF0G-7pZcOza_jyAxwMpa5KnK3vST5smK Subscribe: youtube.com/channel/UCdKpV0t_sLv9gUsxHOYrt7g?sub_confirmation=1 #LeetCode #Trie #DataStructures #CodingInterview #CPlusPlus #leetcode #leetcodecoding #leetcodesolution #leetcodechallenge #faang #fang #computerscience #cs #codingtiktok #coding #codinglife #boostofhope #fyp #codinginterview #softwareengineer #swe #tech #foryou #python #learntocode #google #techtok #programming #algorithms #learntocode @reper #foryou #viral #reper #urmaritori #for