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A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
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Measure memory usage and operation duration on representative data. Prefer vectorized operations and efficient dtypes where they preserve semantics. A join or groupby can require much more memory than the input file size, so account for intermediate data rather than only the final DataFrame.
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