DSA
DSA/Trie
Trie
Coming soonBuild and query prefix trees to power word search, autocomplete, and prefix-matching problems efficiently.
8
Planned lessons
7
Coding problems
4h
Est. study time
Medium
Difficulty
Overview
A trie (prefix tree) stores strings by shared prefixes for fast lookup and autocomplete. You'll build one from scratch and apply it to word problems.
Why it matters
When a problem involves many prefix queries or word dictionaries, a trie beats repeated string scans and is the expected data structure.
What the course will cover
- Trie node design and insertion
- Prefix and full-word search
- Wildcard and pattern matching
- Combining tries with DFS/backtracking on grids
- Patterns: Implement Trie, Word Search II, Design Add and Search Words
Interview relevance
Tries are a medium/hard signal. Recognising that a dictionary of words should be a trie — not a hash set — is exactly what interviewers reward.
Topics you'll master
TriePrefix TreeString
In the meantime, dive into a published track to keep your momentum.