narwhals 1.33.0 on Python PyPI

Changes

fix: change rank ExprKind to transform (#2316)
feat: add rank for Lazy backends (#2310)
feat: disallow .over(order_by=...) for non-order-dependent operations (as it signals a user error) (#2314)
feat: add rolling_var and rolling_std for lazy backends (#2299)
feat: Allow spark-like backends in scan_csv function (#2300)
feat: Add DuckDBExpr.is_unique() method (#2301)
feat: add rolling mean for lazy backends (#2297)
feat(sqlframe): Allow options in scan_parquet function (#2295)
feat: Add DataFrame.clone for pyarrow (#2288)
feat: add cum_count and cum_prod to PySpark and DuckDB (#2286)
feat: Add cum max and cum_min for DuckDB (#2278)

fix: Expr.mode broadcasting (#2280)
ci: Remove sqlframe pin from --group typing (#2298)
fix: use specialised duckdb functions for std_pop/std_samp/var_pop/var_samp (#2289)
fix: fixup polars join version check throwing unnecessary deprecation warning for outer join (#2287)

test: add test for shift->cum_sum (#2317)
ci: fixup cudf test failures, support rolling_std/rolling_var/rolling_mean for pandas in grouped context (#2322)
chore: Make duckdb quack more like polars (#2321)
chore: use Python API more in DuckDB (#2318)
refactor: Add CompliantDataFrame.from_arrow (#2306)
chore(typing): Resolve _polars.utils dtype ignores (#2312)
chore: Tidy up PolarsExpr (#2313)
refactor: Add LazyExprNameNamespace (#2311)
refactor: Add CompliantDataFrame.from_dict (#2304)
refactor: Use ._with_* for internal API methods (#2305)
chore: Add EagerSeries*Namespace protocols (#2294)
refactor: Use .from_iterable() in new_series (#2302)
refactor: *(Namespace|DataFrame).from_numpy (#2283)
chore: Update ._native_series refs (#2293)
test: ensure expected data has every column of theresult data (#2296)
ci: fixup for duckdb pre 1.3 (#2292)
chore: Update ._native_frame refs (#2290)
chore: always set CompliantExpr._metadata (#2282)

Thank you to all our contributors for making this release possible!
@EdAbati, @FBruzzesi, @MarcoGorelli, @dangotbanned and @raisadz