rust-data-processing 0.2.2

Schema-first ingestion (CSV, JSON, Parquet, Excel) into an in-memory DataSet, plus Polars-backed pipelines, SQL, profiling, validation, and map/reduce-style processing.
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  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}},
  "cells": [
    {"cell_type": "markdown", "metadata": {}, "source": ["# Quick start"]},
    {"cell_type": "code", "metadata": {}, "source": ["import rust_data_processing as rdp\n", "print(\"version\", rdp.__version__)\n", "schema = [{\"name\": \"x\", \"data_type\": \"int64\"}]\n", "ds = rdp.DataSet(schema, [[1], [2]])\n", "print(ds.row_count())\n"]}
  ]
}