Polars: py-0.14.19 Release

🚀 Performance improvements

• improve pivot performance by using faster series… (#5172)
• improve streaming performance (~15%) (#5170)
• don't block projection pushdown on unnest (#5123)

✨ Enhancements

• batched csv reader (#5212)
• accept expressions in arr.slice (#5191)
• is_sorted aggregation fast path for Utf8Chunked (#5184)
• support DataFrame init with Datetime dtypes that specify a timezone (#5174)
• frame-level n_unique() that can count unique rows or col/expr subsets (#5165)
• hybrid streaming query engine (#5139)
• return Datetime/Duration with appropriate timeunit when inferring from pytype (#5127)
• add binary dtype (#5122)

🐞 Bug fixes

• fix asof_join schema (#5213)
• fix single thread loop if schema lenght is off by 1 (#5210)
• improve numeric stability of rolling_variance (#5207)
• fix apply function over object dtype (#5206)
• fix overflow in partitioned groupby mean of int32/… (#5204)
• don't allow categorical append that is not under s… (#5195)
• include offset in arr.get (#5193)
• DataFrame.fill_null include unsigned integers (#5192)
• error on fill_nan on non float dtype (#5185)
• infer missing columns in from_dicts (#5183)
• fix rolling_float in case closure returns None (#5180)
• Implement missing extract conversion for Time datatype (#5161)
• implement missing conversion to python time object (#5152)
• Rendering long docstring lines. (#5150)
• add missing _NUMPY_AVAILABLE check in Series.__getitem__ (#5126)
• wrong operator mapped for LtEq (#5120)

🛠️ Other improvements

• skip failing test until #5177 is resolved (#5205)
• ensure streaming groupby take slice into account (#5178)
• remove aggregate pushdown optimization (#5173)
• Add support for ruff python linter. (#5151)
• improve typing; many list types are better defined as Sequence (#5164)
• Get rid of unnecessary check in SplitLines iterator (#5141)

Thank you to all our contributors for making this release possible! @alexander-beedie, @dannyvankooten, @ghuls, @ritchie46 and @sorhawell