How To Use Python Window Functions | Solving Amazon Data Science Interview Question

Publicado em: 02 Agosto 2022
no canal de: StrataScratch

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In this video, we'll take a close look at python window functions, more specifically the aggregate functions: Group By, Rolling, and Expanding. We’ll go over each aggregate function, along with implementing the functions in different interview questions.

Link to the question:
https://platform.stratascratch.com/co...

Link to the article: https://www.stratascratch.com/blog/py...

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Timeline:

Intro: (0:00)
Python Window Functions Introduction: (00:16)
Aggregate Functions: Group By: (01:43)
Amazon Interview Question: (02:20)
Solution: Formulate Approach: (2:58)
Solution: Breakdown: (04:30)
Solution: Code Execution (04:25)
Edge Case Consideration (05:55)
Edge Case Implementation (06:31)
Aggregate Functions: Rolling And Expanding (6:53)
San Francisco Weather Question: Rolling Aggregate Function: (09:35)
Solution: Formulate Approach: (09:50)
Solution: Code Execution (10:13)
San Francisco Weather Question: Expanding Aggregate Function: (14:00)
Solution: Formulate Approach: (14:10)
Solution: Code Execution (14:24)
Conclusion: (15:35)

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About The Platform:

I'm using StrataScratch (https://platform.stratascratch.com/co..., a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.

So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/co.... All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.

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Contact:

If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
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