Скачать или смотреть LeetCode 3005: Count Elements With Maximum Frequency | Python Solution | Hash Map Counting

🔍 Solve this array counting problem by finding elements that appear with maximum frequency using #hashmap #array #counting #python. Our solution achieves O(n) time complexity and O(n) space complexity.

📋 Timestamps
00:00 - Understanding problem statement
01:06 - Understanding the approach
01:54 - Dry run with example
03:40 - Big O Notation calculated
04:33 - Python code walk-through
05:21 - Solution analysis - runtime + memory
05:29 - Conclusion

🧠 Key Concepts
Hash map frequency counting
Array manipulation
Finding maximum values
Optimizing for single-pass solutions

✨ Main Takeaways
How to efficiently count element frequencies in arrays
Techniques to track maximum values while iterating
Optimizing solutions to avoid unnecessary passes
When to use Counter from collections module in Python

🔗 Related Problems
LeetCode 347: Top K Frequent Elements
LeetCode 451: Sort Characters By Frequency
LeetCode 1636: Sort Array by Increasing Frequency
LeetCode 2404: Most Frequent Even Element

👨‍💻 Who This Video Is For
This video is perfect for coding interview candidates, software engineers preparing for technical interviews, and Python developers looking to improve their algorithmic skills.

📚 Prerequisites
Basic Python syntax
Understanding of hash maps/dictionaries
Familiarity with array operations

🔗 Important Links
LeetCode problem: https://leetcode.com/problems/count-e...
Solution code: https://leetcode.com/problems/count-e...

💡 Additional Tips
Pay attention to how we optimize to find the answer in a single pass
Notice how we can use Python's Counter class to simplify the code
Consider how the approach changes if input sizes become very large

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