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Enables high-performance analysis of massive tabular datasets that exceed system memory by leveraging lazy, out-of-core DataFrames. It allows users to perform interactive data exploration, statistical aggregations, and complex feature engineering on billions of rows without the memory overhead typically associated with traditional libraries. Whether converting large file formats, building machine learning pipelines, or generating insightful visualizations like heatmaps, this skill provides the patterns and best practices needed to handle gigabyte-to-terabyte scale data efficiently on a standard machine.
