pola-rs/polars: Python Polars 0.17.3

Highlights support DataFrame init from pydantic model data (#8178) Performance improvements fail fast on non-inferable strings in strptime if no fmt is provided (#8111) make chunks search more resilient (#8229) SIMD accelerated arg_min/arg_max (via argminmax) (#8074) speed up csv parsing for slower datetimes formats (#8213) improve datetime interpret perf (#8209) arr.eval run on groupby expression engine when possible (#8199) ~2-3x speedup for DataFrame init from pydantic models (#8181) ✨ Enhancements add use_earliest argument to replace_time_zone for dealing with ambiguous datetimes (#8087) fail loudly on .%f directive, as it differs from the Python standard library (#8237) SQL CTE's (#8208) automatically convert series OP expr -> pl.lit(series) OP expr where OP is arithmetic (#8225) add pickle support for LazyFrame (#8220) add duration cumsum and remainder (#8219) support DataFrame init from nested dataclass, pydantic, and NamedTuple objects (#8185) better algorithm for streaming unique (#8003) Add approx distinct count via approx_unique() (#7937) add percentiles to describe methods (#8169) support DataFrame init from pydantic model data (#8178) display skipped row if same number of rows (#8170) Bug fixes add special numpy float branch in anyvalue conversion (#8259) fix boolean par materialization (#8257) improve null/empty list construction (#8255) fix offsets in parallel utf8 materialization (#8254) nested struct logical type consistency (#8249) keep literal state if elementwise function is applied (#8195) decimal ensure backed arrow arrays have correct dtype (#8193) ️ Other improvements parametric/hypothesis testing code cleanups (#8253) Rename strptime/strftime args (#8221) change sampling ratio for groupby strategy (#8223) Rename Expr.list to implode (#8165) don't panic on err in offset_by (#8210) re-enable test parallization for Windows tests (#8214) Fix small typo: "im memory" -> "in memory" (#8187) remove unused dtype_to_arrow_type (#8177) Thank you to all our contributors for making this release possible! @MarcoGorelli, @alexander-beedie, @avimallu, @borchero, @chitralverma, @clickingbuttons, @ghuls, @josh, @jvdd, @rben01, @ritchie46, @stinodego and @universalmind30