For raw speed on large in-memory group-by and join operations, R's data.table generally beats pandas; for ecosystem breadth and integration with Python's machine learning tools, pandas wins. Data.table, built by Matt Dowle and Arun Srinivasan, has consistently ranked among the fastest tools in the H2O.ai db-benchmark for group-by and join workloads on datasets up to 50 GB.
Related Pandas Questions And Answers
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