Python cumsum() | Solving Python Optimization Questions On a Data Science Interview

In this video, we'll take a close look at one of the larger families of data science questions concerning optimization. We’ll use the cumulative sum or cumsum() function to solve this complex python optimization question.

Link to the question:

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Timeline:

Intro: (0:00​​​)
Understanding the data: (1:19)
Formulate the approach: How to use cumsum(): (2:04)
Formulate the approach: Data Preparation: (07:05)
Code execution: (08:51)
Conclusion: (18:19​​)

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[shivamroy]

There can be an edge case that the code missed, a train arriving just before the end of the day and departing at the start of another day, for example, arrival at 23:58 and departure at 00:02 would give a wrong answer. Nevertheless, this is a great way of solving the question after accounting for the edge case and was very helpful. Thanks.

[jianhongsong]

Very clever. Never thought cumsum() can be used to solve questions like this. Also it takes a genius to mark arrival as 1 and departure as -1.

[vishwaschaudhary]

Cumulative Sum: -_-
Cumsum: Neuron Activation

[AkshayKumar-uzxo]

Hey bro can you help me in this question;
Question ID: 9629. Find how many hosts are verified by the Airbnb staff and how many aren't.