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 | [sort](/src/cmd/sort.rs#L2)<br>🚀🤯 | Sorts CSV data in alphabetical (with case-insensitive option), numerical, reverse, unique or random (with optional seed) order (See also `extsort` & `sortcheck` commands).  |
 | [sortcheck](/src/cmd/sortcheck.rs#L2)<br>📇 | Check if a CSV is sorted. With the --json options, also retrieve record count, sort breaks & duplicate count. |
 | [split](/src/cmd/split.rs#L2)<br>📇🏎️ | Split one CSV file into many CSV files of N chunks. Uses multithreading to go faster if an index is present. |
-| [sqlp](/src/cmd/sqlp.rs#L2)<br>✨🚀🐻‍❄️ | Run [Polars](https://pola.rs) SQL queries against several CSVs - converting queries to blazing-fast [LazyFrame](https://stackoverflow.com/questions/76612163/what-are-the-advantages-of-a-polars-lazyframe-over-a-dataframe) expressions, processing larger than memory CSV files. |
+| [sqlp](/src/cmd/sqlp.rs#L2)<br>✨🚀🐻‍❄️ | Run [Polars](https://pola.rs) SQL queries against several CSVs - converting queries to blazing-fast [LazyFrame](https://docs.pola.rs/user-guide/lazy/using/) expressions, processing larger than memory CSV files. |
 | [stats](/src/cmd/stats.rs#L2)<br>📇🤯🏎️ | Compute [summary statistics](https://en.wikipedia.org/wiki/Summary_statistics) (sum, min/max/range, min/max length, mean, stddev, variance, nullcount, sparsity, quartiles, IQR, lower/upper fences, skewness, median, mode/s, antimode/s & cardinality) & make GUARANTEED data type inferences (Null, String, Float, Integer, Date, DateTime, Boolean) for each column in a CSV.<br>Uses multithreading to go faster if an index is present (with an index, can compile "streaming" stats on NYC's 311 data (15gb, 28m rows) in less than 7.3 seconds). |
 | [table](/src/cmd/table.rs#L2)<br>🤯 | Show aligned output of a CSV using [elastic tabstops](https://github.com/BurntSushi/tabwriter).  To interactively view CSV files, qsv pairs well with [csvlens](https://github.com/YS-L/csvlens#csvlens). |
 | [to](/src/cmd/to.rs#L2)<br>✨🚀 | Convert CSV files to [PostgreSQL](https://www.postgresql.org), [SQLite](https://www.sqlite.org/index.html), XLSX, [Parquet](https://parquet.apache.org) and [Data Package](https://datahub.io/docs/data-packages/tabular). |