LeetCode 586 Customer Placing the Largest Number of Orders (Python and SQL) [Easy] скачать в хорошем качестве

LeetCode 586 Customer Placing the Largest Number of Orders (Python and SQL) [Easy]

🧠 Don’t miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, Machine Learning, and AI Automations! 📈 https://www.skool.com/data-and-ai-aut... In this beginner-friendly walkthrough, we solve LeetCode SQL Problem 586 using both SQL queries and a Python (Pandas) solution. Learn how to identify the customer with the most orders—a classic use case for GROUP BY, COUNT, and filtering with MAX(). LeetCode Question: https://leetcode.com/problems/custome... 🚀 Hire me for Data Work: https://ryanandmattdatascience.com/da... 👨‍💻 Mentorships: https://ryanandmattdatascience.com/me... 📧 Email: ryannolandata@gmail.com 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord:   / discord   📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan 📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg 🍿 WATCH NEXT LeetCode Playlist:    • Leetcode Data Science Interview Questions   LeetCode 570:    • LeetCode 570 - Managers With at Least 5 Di...   LeetCode 619:    • LeetCode 619 -Biggest Single Number (Pytho...   LeetCode 196:    • LeetCode 196 - Delete Duplicate Emails (Py...   In this video, I walk you through LeetCode problem 586, where we need to find the customer number who has placed the largest number of orders. I break down the solution line by line in both SQL and Python Pandas, making it easy to understand both approaches. For the SQL solution, I demonstrate how to use a CTE (Common Table Expression) to count orders per customer, then select the top result using ORDER BY and LIMIT. I explain why CTEs are useful for organizing complex queries and how GROUP BY works with COUNT to aggregate the data. The Python Pandas solution uses groupby, size, and sort_values to achieve the same result. I show you how to reset the index, sort in descending order, and return just the top customer. I even point out a small optimization that could make the code cleaner. Whether you're preparing for data analyst interviews, studying SQL, or learning Pandas for data manipulation, this walkthrough will help you understand how to solve aggregation problems in both languages. I also discuss the follow-up question about handling ties when multiple customers have the same number of orders. If you're studying for technical interviews or want to improve your data analysis skills, make sure to subscribe! I post multiple data-focused videos every week, including more LeetCode solutions, DBT tutorials, and AI projects with LangChain and OpenAI. TIMESTAMPS 00:00 Problem Introduction & Overview 01:12 SQL Solution Walkthrough 02:17 Creating the CTE & Query Logic 03:11 SQL Solution Complete 03:56 Python Pandas Solution 05:28 Solution Review & Wrap-up OTHER SOCIALS: Ryan’s LinkedIn:   / ryan-p-nolan   Matt’s LinkedIn:   / matt-payne-ceo   Twitter/X: https://x.com/RyanMattDS Who is Ryan Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF. Who is Matt Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One. *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.