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DATA SCIENCE

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AI Prompt for

High-performance Pandas data processing pipeline

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Optimize Pandas data processing pipeline. Techniques: 1. Vectorize operations (avoid loops). 2. Use appropriate data types (int8, category). 3. Process large datasets with chunking. 4. Parallelize processing with Dask or Swifter. 5. Efficient file formats (Parquet/Feather). 6. Memory usage profiling. 7. Index optimization for merging. 8. Caching intermediate results. Include benchmark comparisons.

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