Dynamic Array | Data Structures | HackerRank Solutions
This video explains the HackerRank problem "Dynamic Array" step-by-step and walks through a clean Python implementation with time/space complexity and examples. Watch to learn the intuition, the two query types, and how to implement this in under 10 minutes.
What this video covers:
Problem statement and input format for "Dynamic Array" on HackerRank
Intuition behind using an array of lists and keeping track of lastAnswer
Step-by-step walkthrough of both query types with the provided sample
Full Python solution, explained line-by-line
Time and space complexity analysis and common pitfalls to avoid
Complexity:
Time complexity: O(q) where q is the number of queries, assuming append and index access are O(1) on average
Space complexity: O(total elements appended) which is at most O(q)
Practice & references:
Problem on HackerRank: https://www.hackerrank.com/challenges...
Read more about bitwise XOR: search "bitwise XOR operator" for quick reference
If this video helped, please like, subscribe, and comment any questions or requests for follow-up videos on similar DS&A topics.
#HackerRank #DynamicArray #DSA #Python #CodingInterview #AlgorithmTutorial
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