Скачать или смотреть Optimization of Valid Anagram Problem | 150 DSA Problems Series

This video covers the optimized O(n) solution for LeetCode 242 – Valid Anagram using hashmaps (Python dictionaries).
We move beyond brute force and sorting to achieve linear time complexity with clear, interview-ready logic.

You will learn how to:
Implement the frequency-count approach using dictionaries
Understand why the hashmap method is faster than sorting
Compare both manual dictionary implementation and the shortcut using collections.Counter
Analyze time and space complexity precisely for interviews

This video completes the anagram problem journey started in the previous part, where we explored brute force and sorting.

Approaches Discussed:
Manual Dictionary Frequency Map
Shortcut using collections.Counter

Core Idea:
“Count characters in both strings and compare counts.
If frequencies match, they are anagrams.”

Complexity Analysis

Approach Time Space
Dictionary Map O(n) O(1) (for fixed alphabet)
Counter Shortcut O(n) O(1) (for fixed alphabet)

Timestamps (Edit after upload):
0:00 — Recap of previous video
0:37 — Optimized Approach Explanation
10:40 — Coding Optimized Solution
12:25 — Analysing Complexity
13:38 — Counter one-liner shortcut
14:55 — Coding solution using Counter
15:45 — Summarization and What next ?