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Name-drop Polars more prominently
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src/ezmiller/relaunching_tablecloth_time.clj

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;; tree-based index is pure overhead — you'd rebuild it constantly. As Chris
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;; Nuernberger (author of tech.ml.dataset) put it: "Just sorting the dataset and
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;; using binary search will outperform most/all tree structures in this scenario."
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;; Notably, [Polars](https://pola.rs/) — the Rust-based DataFrame library gaining
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;; traction as a Pandas alternative — reached the same conclusion. Polars has no
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;; index by design; you always specify the column explicitly:
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;; This is the same conclusion that [Polars](https://pola.rs/) reached. The
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;; Rust-based DataFrame library — now the fastest-growing Pandas alternative —
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;; has no index by design. You always specify the column explicitly:
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;;
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;; ```python
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;; # Pandas (implicit index)

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