Python Polars 0.14.22

🚀 Performance improvements

• Make all expensive imports lazy - ~85% (#5287)
• remove pandas imports (#5286)
• never import hypothesis in user code (#5282)

✨ Enhancements

• expose to_struct to series list namespace (#5298)
• improve dynamic inference of struct types (#5297)
• don't panic in failing apply (#5294)
• improve error message in struct apply (#5291)
• accept schema in read_dicts (#5290)
• Do not import polars.testing by default (#5284)
• Pass more options to pyarrow in write_parquet (#5278) (#5280)
• date_range expression (#5267)
• allow implicit None branch in when then otherwise (#5264)
• show expression where error originated if raised … (#5263)
• improve error msg if window expressions length do… (#5262)
• pl.ones, pl.zeros and Series.new_from_index functions (#5260)
• Add round for date and datetime (#5153)
• new n_chars functionality for utf8 strings (#5252)
• added new Config formatting option set_tbl_column_data_type_inline, fixed reading of env vars, improved interaction between formatting options (#5243)

🐞 Bug fixes

• throw error on invalid lazy concat strategy (#5292)
• fix to_pandas edge case (#5293)
• properly interpret FMT_MAX_ROWS - remove arbitrary minimum, fix Series formatting (#5281)
• respect schema overwrite in from rows (#5275)
• don't block non matching groups in binary expression (#5273)
• fix logical type of nested take (#5271)
• Check if BatchedCsvReader.next_batches() is None befor… (#5256)
• include single null value in global cat builder (#5254)
• Check multiprocessing start_method on import (#3144) (#5237)

🛠️ Other improvements

• Add ModuleType for import functions in import_check.py (#5289)

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

Python Polars 0.14.21

🐞 Bug fixes

• include slice in sort fast path (#5247)
• don't use zoneinfo globally (#5246)

Thank you to all our contributors for making this release possible!
@ritchie46

Python Polars 0.14.20

✨ Enhancements

• make date_range timezone aware (#5234)
• infer timezone and improve display (#5232)
• allow Config to be used as a context manager, and update some docs (#5223)
• allow polars Config options to be serialised/shared, and more easily unset (#5219)

🐞 Bug fixes

• determine supertype of datetimes with timezones an… (#5240)
• fix groupby dynamic truncate for > days resolution (#5235)
• ensure that polars_type_to_constructor works with tz-aware Datetime dtypes (#5239)
• set timezone on groupby_dynamic boundaries (#5233)
• accept tuple[bool, bool] instead of Sequence[bool] for Expr.is_between (#5094)
• fix incorrect duration dtype (#5226)
• set string cache if lazy schema contains categorical (#5225)
• fix pipeline dtypes (#5224)

🛠️ Other improvements

• update lazyframe lazygroupby apply docstring (#5238)
• Consistent naming for Python release workflow (#5229)

Thank you to all our contributors for making this release possible!
@YuRiTan, @alexander-beedie, @cjermain, @matteosantama, @ritchie46 and @stinodego

Python Polars 0.14.19

🚀 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

Python Polars 0.14.18

🚀 Performance improvements

• take advantage of sorted join for frame alignment (#5106)

✨ Enhancements

• improve function expansion (#5110)
• add struct arithmetics (#5107)
• add cumfold/cumsum expression (#5103)
• error on invalid asof join inputs (#5100)

🐞 Bug fixes

• unique include null (#5112)
• don't recurse assign uniuns as it SO > 5k files (#5098)
• block projection pushdown on unnest (#5093)
• projection_node always do projection locally if no… (#5090)

🛠️ Other improvements

• deprecate name argument in drop (#5099)
• improve py-polars/Makefile (#5089)

Thank you to all our contributors for making this release possible!
@alexander-beedie, @owrior, @ritchie46 and @slonik-az

Python Polars 0.14.17

🚀 Performance improvements

• more conservative JIT sort settings (#5080)

Thank you to all our contributors for making this release possible!
@mcrumiller, @ritchie46 and @zundertj

Python Polars 0.14.16

🚀 Performance improvements

• sort and unsort join key if other side is sorted (#5069)
• do not rechunk left joins (#5066)

✨ Enhancements

• deprecate boolean mask for Series indexing (#5075)
• small plan and profile chart improvements (#5067)
• add gantt chart plot to LazyFrame::profile (#5063)
• Support Series init as struct from @dataclass and annotated NamedTuple (#5057)

🐞 Bug fixes

• fix iso_year for Date dtype (#5074)
• tz-aware get_idx (#5072)
• Fix empty method detection when PYTHONOPTIMIZE=2 (#5043)
• fix bug in unneeded projection pruning (#5071)
• remove overloads for from_arrow (#5065)
• Improve printing controls of DataFrame and Series (#5047)
• Double projections should be checked on input schema (#5058)
• Add missing cse param to LazyFrame "profile" method (#5054)

🛠️ Other improvements

• Default to zstd parquet compression (#5060)
• Refactor show_graph (#5059)
• Use release-drafter to draft releases with changelogs (#5033)
• Update Makefile (#5056)
• Parametric test coverage for EWM functions (#5011)

Thank you to all our contributors for making this release possible!
@alexander-beedie, @egorchakov, @matteosantama, @ritchie46, @slonik-az, @stinodego and @zundertj

Rust Polars 0.24.3

rs-0.24.3

polars rust 0.24.3 (#5015)