Subquery and LEAD() Function in SQL or .shift() method in Pandas? | LeetCode 180

In this video, we tackle LeetCode 180: Consecutive Numbers. We solve the problem using two essential tools for any Data Scientist or Engineer: MS SQL Server and Python Pandas. Finding consecutive records is a classic technical interview question at companies like Amazon, Meta, and Google because it tests your ability to compare data across multiple rows. What we cover: ✅ SQL Solution: LEAD() window function. ✅ Pandas Solution: Using the .shift() method to align consecutive values for comparison. ✅ Edge Cases: Why DISTINCT in SQL and .unique() in Pandas are necessary and how to handle non-sequential IDs. ⏱️ Timestamps: 0:00 - Intro 0:50 - SQL Solution 3:35 - Python Pandas Solution Check out my Playlist: https://www.youtube.com/playlist?list=PLGT-z9cVth9mua-HvnqhN2FQTisyZjQ4B 💡 Subscribe for more LeetCode deep dives and FAANG prep! www.youtube.com/@datahead_girl #leetcode #sql #python #pandas #dataanalytics #interviewprep #datascience #coding