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Solve movie ratings, array, release scheduler

DRWData Scientist · Onsite
MediumData ScientistOnsiteCoding & Algorithms

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This question tests algorithmic problem-solving across three domains: greedy array optimization, tree-based data structure design, and efficient sequence merging. It evaluates practical coding ability and complexity analysis, commonly used in quantitative and data science interviews to assess how candidates identify inefficiencies and select the right data structure to improve performance.

Question

LeetCode 135. Candy – Distribute the minimum number of candies (stars) so that each movie gets at least one star and any movie with a higher rating than an adjacent movie gets more stars than that neighbor. Array Challenge – Optimize an algorithm whose current time-complexity limits performance; design a solution that leverages an appropriate tree data structure to achieve faster operations. Update Release Scheduler – Given two lists of version release dates, sort each list and then compare them to produce the combined chronological release schedule.

https://leetcode.com/problems/candy/description/