{"id":27859,"date":"2026-06-03T04:27:38","date_gmt":"2026-06-03T04:27:38","guid":{"rendered":"https:\/\/sharpinterview.online\/?sharp_quiz=python-interview-deque-stack-queue-comparison"},"modified":"2026-06-03T04:27:38","modified_gmt":"2026-06-03T04:27:38","slug":"python-interview-deque-stack-queue-comparison","status":"publish","type":"sharp_quiz","link":"https:\/\/sharpinterview.online\/?sharp_quiz=python-interview-deque-stack-queue-comparison","title":{"rendered":"Python: In Python, which comparison about collections.deque for Stacks and Queues is accurate?"},"content":{"rendered":"

Question<\/h2>\n

In Python, which comparison about collections.deque for Stacks and Queues is accurate?<\/p>\n

    \n
  1. There is no practical difference in behavior, performance, or maintainability when collections.deque for Stacks and Queues is involved.<\/li>\n
  2. The oldest option related to collections.deque for Stacks and Queues is always the right production choice regardless of workload or context.<\/li>\n
  3. Deque handles both ends efficiently, while a list is stronger for indexed access but weaker for front removals.<\/li>\n
  4. Differences around collections.deque for Stacks and Queues are mostly cosmetic, so correctness and debugging quality do not really change.<\/li>\n<\/ol>\n

    Hint<\/h2>\n

    Focus on the behavior or tradeoff, not just the keyword.<\/p>\n

    Answer and rationale<\/h2>\n

    Correct answer:<\/strong> C. Deque handles both ends efficiently, while a list is stronger for indexed access but weaker for front removals.<\/p>\n

    Deque handles both ends efficiently, while a list is stronger for indexed access but weaker for front removals. This is the comparison that usually separates memorization from understanding.<\/p>\n

    Track:<\/strong> Python<\/p>\n","protected":false},"excerpt":{"rendered":"

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