Valid Anagram (Leetcode 242): Brute Force → Optimal Solution in Python
Abhishek Selokar
0:00 / 0:00
Valid Anagram (Leetcode 242): Brute Force → Optimal Solution in Python
18 просмотров · 12 дней назад
Abhishek Selokar
29 подписчиков
18 просмотров · 12 дней назад
How do you actually improve a coding solution?
In this video, we solve the Valid Anagram problem three ways:
• 🔴 Brute Force — Sort both strings and compare
• 🟡 Better — Use a Hash Map to count character frequencies
• 🟢 Optimal — Use a fixed-size array for O(1) extra space
But the interesting part isn't just getting O(n).
We’ll see why the Hash Map and fixed-array solutions are different, when the array approach is actually better, and how problem constraints can completely change the solution you should choose.
⏱️ Complexity
Brute Force: O(n log n)
Hash Map: O(n) time, O(k) space
Fixed Array: O(n) time, O(1) space
Perfect for anyone preparing for coding interviews, DSA, LeetCode, or software engineering interviews.
#DSA #LeetCode #Python #CodingInterview #Algorithms #DataStructures #Programming #ValidAnagram