Python Polars 1.2.1

🚀 Performance improvements

• Specify tune-cpu & add more features (#17615)
• Better GC and push_view for binviews (#17627)

✨ Enhancements

• Raise error instead of panic in unsupported serde (#17679)
• Expose Arrow C interface directly on Polars (#17696)
• Include file path option for NDJSON (#17681)

🐞 Bug fixes

• Use bytemuck in slice reinterpret for Parquet ArrayChunks (#17700)
• Remove non-existing names from __all__ (#17494)
• Fix return type hint for LazyFrame sink methods (#17698)
• Propagate struct outer nullability eagerly (#17697)
• Address read_database issue with batched reads from Snowflake (#17688)
• Use ETag for HTTP file cache invalidation (#17684)

📖 Documentation

• Fixed default name for value_counts methods based on normalize parameter (#17685)

📦 Build system

• Pin setuptools to fix failing CI (#17695)

🛠️ Other improvements

• Fix return type hint for LazyFrame sink methods (#17698)
• Pin setuptools to fix failing CI (#17695)
• Name tests so they actually run (#17690)
• Add reduce ComputeNode in new streaming engine (#17389)

Thank you to all our contributors for making this release possible!
@5j9, @ByteNybbler, @MarcoGorelli, @alexander-beedie, @coastalwhite, @diegoglozano, @eitsupi, @nameexhaustion, @orlp, @ragyabraham, @ritchie46 and @ruihe774

Python Polars 1.2.0

🚀 Performance improvements

• Fix pathological perf issue in window-order-by (#17650)
• Cache path resolving of scan functions (#17616)
• Add ArrayChunks to optimize codegen of BatchDecoder (#17632)
• Rechunk before we go into grouped gathers (#17623)
• Cache schema resolve back to DSL (#17610)
• Add fastpath for when rounding by single constant durations (#17580)
• Improve parallelism in writing hive parquet (#17512)
• Support datetime in predicate during hive partition pruning (#17545)
• Batch nested embed parquet decoding (#17549)
• Batch nested Parquet decoding (#17542)
• Collect Parquet dictionary binary as view (#17475)

✨ Enhancements

• Hugging Face path expansion (#17665)
• Add DSL validation for cloud eligible check (#17287)
• Raise informative error message if non-IntoExpr is passed by name in *Frame.group_by (#17654)
• Add infer_schema parameter to read_csv / scan_csv (#17617)
• Change API for writing partitioned Parquet to reduce code duplication (#17586)
• Cache schema resolve back to DSL (#17610)
• Expose returns_scalar to map_elements (#17613)
• Add option to include file path for Parquet, IPC, CSV scans (#17563)
• Support describe on decimal (#15092)
• Support datetime in predicate during hive partition pruning (#17545)
• Raise more informative error message for directories containing files with mixed extensions (#17480)
• Exclude empty files from directory/glob expansion (#17478)
• Support use of SQLAlchemy "Connectable" in write_database (#17470)

🐞 Bug fixes

• Support duplicate expression names when calling ufuncs (#17641)
• Interpret %y consistently with Chrono in to_date/to_datetime/strptime (#17661)
• Fix explode invalid check (#17651)
• Raise for overlapping index/column names in pandas dataframes post string coercion (#17628)
• Expand brackets in async glob expansion (#17630)
• Fix row index disappearing after projection pushdown in NDJSON (#17631)
• Fix struct -> enum is_in (#17622)
• Don't needlessly unwrap in pivot_schema (#17611)
• Reject literal input in sort_by_exprs() (#17606)
• Don't enforce row order in join test results where not guaranteed (#17596)
• Bitmap collect into safety (#17588)
• Make schema picklable (#17524)
• Handle current position of file objects (#17543)
• Set O_CLOEXEC on duplicated file descriptor (#17537)
• Method dt.truncate was sometimes returning incorrect results for pre-1970 datetimes (#17582)
• Defer path expansion until collect in file scan methods (#17532)
• Fix retries parameter in scan functions not taking effect when it was set to 0 (#17564)
• Don't unwrap send attempt to oneshot channel (#17566)
• Fix scanning from HTTP cloud paths (#17571)
• Properly implement struct (#17522)
• Add right to lazyframe join docstring (#17529)
• Fix predicate pushdown for .list.(get|gather) (#17511)
• Make sure scan_ipc does not go through fsspec (#17495)
• Turn panic into error when serializing Object types (#17353)
• Fix struct expansion and raise on exclude (#17489)
• Normalize path in sink_csv (#17476)

📖 Documentation

• Update plot docs to refer to docstrings (#17504)
• Rename str.lengths to str.len_bytes in description text (#11577) (#17626)
• Create example for polars.Expr.bin.decode (#17508)
• Add right join in the user guide (#17608)
• Adjust rendering of links in read_database_uri docstring (#17536)
• Update SQL examples in README (#17568)
• Fixup "deprecated" directive for DataFrame.melt and LazyFrame.melt (#17530)
• Add write_parquet_partitioned (#17488)
• Add example for writing hive partitioned parquet to user guide (#17483)
• Fix typo in Getting Started section of user guide (#17465)

🛠️ Other improvements

• Add DSL validation for cloud eligible check (#17287)
• Add ArrayChunks to optimize codegen of BatchDecoder (#17632)
• Move path logic to from utils to path_utils in polars-io (#17635)
• Fix struct gather (#17621)
• Back to StructChunked name (#17609)
• Remove unused with_column method of PyLazyFrame (#17607)
• Re-enable struct related tests (#17597)
• Completely redo structure of Parquet decoder (#17589)
• Fix struct outer validity;fmt;is_in;cast;cmp (#17590)
• Add/fix version-gating in some SQLAlchemy and Pandas tests (#17538)
• Add style accessor to DataFrame (#17502)
• Remove unused is_supported_cloud util (#17493)

Thank you to all our contributors for making this release possible!
@Julian-J-S, @MarcoGorelli, @alexander-beedie, @anergictcell, @arnabanimesh, @brandon-b-miller, @cmdlineluser, @coastalwhite, @deanm0000, @eitsupi, @flisky, @henryharbeck, @itamarst, @jonaylor89, @moritzwilksch, @nameexhaustion, @orlp, @phi-friday, @r-brink, @rcorty, @ritchie46, @ruihe774, @stinodego, @tylerriccio33 and @wence-

Python Polars 1.1.0

🚀 Performance improvements

• Keep more parallelism when CSE plan cache hits (#17463)
• Batch parquet primitive decoding (#17462)
• Respect allow_threading in some more operators (#17450)
• Parallelize parquet metadata deserialization (#17399)
• Use underlying fileno for Python files when possible (#17315)
• Add future arg to Series.to_arrow (#17371)

✨ Enhancements

• Add "future" versioning (#17421)
• Apply slice pushdown immediately to in-memory frames (#17459)
• Support writing hive partitioned parquet (#17324)
• Add right join support (#17441)
• Support hive partitioning in scan_ipc (#17434)
• Improve error message when passing string key to Series.__getitem__ (#17408)

🐞 Bug fixes

• Handle DB cursor descriptions that contain more fields than the DBAPI2 standard (#17468)
• Fix decimal dyn float supertype (#17464)
• Verify the integrity of pandas column names before implied string conversion (#17433)
• Don't rechunk on phys_repr (#17461)
• Harden alchemy session for old sqlalchemy versions (#17366)
• Fix swapping rename schema (#17458)
• Make boolean reads consistent across all read_excel engines (#17448)
• Raise on oob decimal precision (#17445)
• Fix handling of TextIOWrapper in write_csv (#17328)
• Support sa session (#17435)
• Fix from_pandas for string columns with missing values (#17397)
• Fix a global variable table-discovery edge case for the SQL interface (#17400)
• Don't allow json inference method to be chunked/streaming (#17396)
• Set literal nesting to 0 (#17392)
• Fix scanning cloud paths with spaces (#17379)
• Fix slice length no longer allowing None (#17372)
• Fix typo in SchemaError exception message (#17350)
• Raise proper error for mismatching parquet schema instead of panicking (#17321)

📖 Documentation

• Add examples for scanning hive datasets to user guide (#17431)
• Update partition_by docstring to match new behavior (#17394)
• Update GroupBy.__iter__ docstring to match new behavior (#17383)

📦 Build system

• Add support for NumPy 2.0 (#17384)

🛠️ Other improvements

• Add automated check for PR title formatting (#17412)
• Remove transmute for object store path (#17395)
• Fix Python version resolver in release drafter (#17390)
• Avoid use of np.trapz in tests to prepare for NumPy 2.0 (#17387)
• Avoid writing to disk when running sink_csv test (#17386)

Thank you to all our contributors for making this release possible!
@alexander-beedie, @brunobbaraujo, @cmdlineluser, @coastalwhite, @dependabot, @dependabot[bot], @nameexhaustion, @orlp, @phi-friday, @ritchie46, @ruihe774, @sherlockbeard, @stinodego, @tylerriccio33 and @wence-

Rust Polars 0.41.3

🚀 Performance improvements

• Improve unique performance by adding RangedUniqueKernel for primitive arrays (#17166)
• faster decode on Parquet HybridRLE (#17208)

✨ Enhancements

• Add SQL support for NATURAL joins and the COLUMNS function (#17295)
• Add str.extract_many expression (#17304)
• Support '%' in pathnames for async scan (#17271)
• Support SQL Struct/JSON field access operators (#17226)
• Exclude directories from glob expansion result (#17174)
• Support SQL ORDER BY ALL syntax (#17212)
• Support PostgreSQL ^@ ("starts with"), and ~~,~~*,!~~,!~~* ("like", "ilike") string-matching operators (#17251)
• Support SQL SELECT * ILIKE wildcard syntax (#17169)
• Support SQL temporal functions STRFTIME and STRPTIME, and typed literal syntax (#17245)
• Support date/datetime for hive parts (#17256)
• Expose some more information in translated expression IR to python (#17209)
• Allow no-op round/ceil/floor on integer types (#17241)
• Support loading from datasets where the hive columns are also stored in the file (#17203)
• Implement serde for Null columns (#17218)
• Support Decimal types in write_csv/write_json (#14209)
• Improve SQL support for array indexing, increase test coverage (#16972)
• Support reading byte stream split encoded floats and doubles in parquet (#17099)
• Add float_scientific option to write_csv/sink_csv (#17111)

🐞 Bug fixes

• Raise proper error for mismatching parquet schema instead of panicking (#17321)
• Raise on invalid shape dataframe arithmetic (#17322)
• Fix panic in window case (#17320)
• Raise errors instead of panicking when sink_csv fails (#17313)
• Raise if join keys are passed to cross join (#17305)
• Don't null on oob in list.get for column index (#17276)
• Fix issue where sliced PyArrow record batches were not handled correctly (#17058)
• Don't oob on nulls in list.get (#17262)
• Fix list getter with nulls (#17261)
• Respect nulls_last parameter in aggregate sort_by (#17249)
• Fix literal slice in group by (#17242)
• Fix DataFrame.top_k not handling nulls correctly (#17239)
• Avoid using the regex dependency when the regex feature is not used (#17206)
• properly check the BMI2 uleb128 (#17191)

📖 Documentation

• Minor layout/terminology improvement for selector set ops (#17299)
• Fix polars-plan docs.rs build (#17266)
• Add SQL docs for the CAST and TRY_CAST functions (#17214)

🛠️ Other improvements

• Prefer ParquetError::oos to ParquetError::OutOfSpec (#17314)
• remove seqmacro and u8,u16 bitpack (#17290)
• Fix typo in join validation error message (#17296)
• Use typed iter in list.get (#17286)
• add ability to have pipeline blockers in new streaming engine (#17247)
• Support date/datetime for hive parts (#17256)
• Add elementwise select and with_columns to new streaming engine (#17185)
• chrono's ParseErrorKind is now public (#17201)

Thank you to all our contributors for making this release possible!
@IvanIsCoding, @JamesCE2001, @MarcoGorelli, @SeanTater, @adamreeve, @alexander-beedie, @coastalwhite, @datapythonista, @flisky, @itamarst, @jqnatividad, @lukeshingles, @mcrumiller, @nameexhaustion, @orlp, @ritchie46, @stinodego and @wence-

Python Polars 1.0.0

This is the first major release for Python Polars. Please check out the upgrade guide for help navigating the breaking changes when upgrading to this version.

💥 Breaking changes

• Change default engine for read_excel to "calamine" (#17263)
• Implement binary serialization of LazyFrame/DataFrame/Expr and set it as the default format (#17223)
• Streamline optional dependency definitions in pyproject.toml (#17168)
• Update read/scan_parquet to disable Hive partitioning by default for file inputs (#17106)
• Split replace functionality into two separate methods (#16921)
• Default to writing binview data to IPC, mark compression argument as keyword-only (#17084)
• Remove re-export of type aliases (#17032)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Properly apply strict parameter in Series constructor (#16939)
• Remove supertype definition of List and non-List types (#16918)
• Consistently convert to given time zone in Series constructor (#16828)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Update set_sorted to only accept a single column (#16800)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Scheduled removal of deprecated functionality (#16715)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)

⚠️ Deprecations

• Deprecate LazyFrame.fetch (#17278)
• Deprecate size parameter in parametric testing strategies in favor of min_size/max_size (#17128)
• Split replace functionality into two separate methods (#16921)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Remove re-export of exceptions at top-level (#17059)
• Deprecate dt.mean/dt.median in favor of mean/median (#16888)
• Deprecate LazyFrame.with_context in favor of horizontal concatenation (#16860)
• Rename parameter descending to reverse in top_k methods (#16817)
• Rename str.concat to str.join and update default delimiter (#16790)
• Deprecate arctan2d in favor of arctan2(...).degrees() (#16786)

🚀 Performance improvements

• Rechunk before group_by `iteration (#17302)
• Improve unique performance by adding RangedUniqueKernel for primitive arrays (#17166)
• Improve unique performance by creating UniqueKernel and improve bool implementation (#17160)
• Default to writing binview data to IPC, mark compression argument as keyword-only (#17084)
• Parallelize arrow conversion if binview -> large_bin (#17083)
• Garbage collect buffers in if-then-else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic arg_sort of row-encoding (#16894)
• Improve rle_id iteration performance and set sorted flags (#16893)
• Optimize sort for String and Binary types (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)

✨ Enhancements

• Add SQL support for NATURAL joins and the COLUMNS function (#17295)
• Add str.extract_many expression (#17304)
• Change default engine for read_excel to "calamine" (#17263)
• Deprecate LazyFrame.fetch (#17278)
• Support '%' in pathnames for async scan (#17271)
• Support SQL Struct/JSON field access operators (#17226)
• Exclude directories from glob expansion result (#17174)
• Support SQL ORDER BY ALL syntax (#17212)
• Support PostgreSQL ^@ ("starts with"), and ~~,~~*,!~~,!~~* ("like", "ilike") string-matching operators (#17251)
• Support SQL SELECT * ILIKE wildcard syntax (#17169)
• Support SQL temporal functions STRFTIME and STRPTIME, and typed literal syntax (#17245)
• Support date/datetime for hive parts (#17256)
• Implement binary serialization of LazyFrame/DataFrame/Expr and set it as the default format (#17223)
• Allow no-op round/ceil/floor on integer types (#17241)
• Support loading from datasets where the hive columns are also stored in the file (#17203)
• Implement serde for Null columns (#17218)
• Support Decimal types in write_csv/write_json (#14209)
• Add optional "default" to get_column DataFrame method (#17176)
• Improve SQL support for array indexing, increase test coverage (#16972)
• Support reading byte stream split encoded floats and doubles in parquet (#17099)
• Add float_scientific option to write_csv/sink_csv (#17111)
• Support Struct field selection in the SQL engine, RENAME and REPLACE select wildcard options (#17109)
• Update DataFrame.pivot to allow index=None when values is set (#17126)
• Update read/scan_parquet to disable Hive partitioning by default for file inputs (#17106)
• Improve ipython autocomplete for LazyFrame and DataFrame (#17091)
• Split replace functionality into two separate methods (#16921)
• Improve schema inference for hive partitions (#17079)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Print row index in explain and show_graph (#17074)
• Support top-level pl.col autocompletion for iPython (#17080)
• Remove re-export of exceptions at top-level (#17059)
• Implement predicate and projection pushdown for read_ndjson (#17068)
• Allow (non-)coalescing in join_asof (#17066)
• Turn of coalescing and fix mutation of join on expressions (#17061)
• Expand NDJson glob into one SCAN (#17063)
• Do not parse hive partitions from user provided base directory path (#17055)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Implement general array equality checks (#17043)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Add rechunk parameter to read_delta (#16991)
• allow experimental metadata use on release (#17005)
• Add simple version of json_normalize (#17015)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Desugar AND filter into multiple nodes (#16992)
• Handle textio even if not correct (#16971)
• Properly apply strict parameter in Series constructor (#16939)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Add PerformanceWarning to LazyFrame properties (#16964)
• Add collect_schema method to LazyFrame and DataFrame (#16929)
• Allow setting file cache TTL on a per-file basis (#16891)
• Support Decimal inputs for lit (#16950)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• Add DataFrame.style namespace (#16809)
• Add Schema class (#16873)
• Normalize value_counts (#16917)
• Implement equality for more Array types (#16902)
• Set up some of the infrastructure for new streaming engine (#16900)
• Cache downloaded cloud IPC files (#16892)
• Consistently convert to given time zone in Series constructor (#16828)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• Support Python Enum values in lit (#16858)
• Convert to given time zone in .str.to_datetime when values are offset-aware (#16742)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#167...

Rust Polars 0.41.2

🚀 Performance improvements

• create UniqueKernel and improve bool implementation (#17160)
• parallel linearize in new streaming engine (#17050)

✨ Enhancements

• Support Struct field selection in the SQL engine, RENAME and REPLACE select wildcard options (#17109)
• POC metadata reading and writing (#17112)
• Use AsRef<Path> instead of PathBuf in sink_ methods (#17150)
• Update DataFrame.pivot to allow index=None when values is set (#17126)

🐞 Bug fixes

• Use explicit turbofish to help rustc (#17159)
• Raise on invalid set dtypes (#17157)
• Fix corrupted reads for hive parts from cloud and projection pushdown failure on hive parts (#17152)
• Set intersection supertype (#17154)
• Fix feature gates (#17141)
• Fix feature gate (#17134)

🛠️ Other improvements

• MinMaxKernel in primitive/binary parquet stats (#17158)
• Add a test for AnonymousScan options (projection and slice pushdown) (#17149)
• MinMaxKernel in prim parquet stats (#17153)
• Add missing spaces in cargo.toml (#17145)
• Update rustc 2024-06-23 (#17135)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @alexander-beedie, @coastalwhite, @datapythonista, @eitsupi, @mcrumiller, @nameexhaustion, @orlp, @ritchie46 and @stinodego

Python Polars 1.0.0-rc.2

💥 Breaking changes

• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Split replace functionality into two separate functions (#16921)
• Default to writing binview data to IPC (#17084)
• Remove re-export of type aliases (#17032)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Properly apply strict parameter in Series constructor (#16939)
• Remove supertype definition of List and non-List types (#16918)
• Consistently convert to given time zone in Series constructor (#16828)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Update set_sorted to only accept a single column (#16800)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Scheduled removal of deprecated functionality (#16715)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)

⚠️ Deprecations

• Deprecate size parameter in parametric testing strategies in favor of min_size/max_size (#17128)
• Split replace functionality into two separate functions (#16921)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Remove re-export of exceptions at top-level (#17059)
• Deprecate dt.mean/dt.median in favor of mean/median (#16888)
• Deprecate LazyFrame.with_context in favor of horizontal concatenation (#16860)
• Rename parameter descending to reverse in top_k methods (#16817)
• Rename str.concat to str.join and update default delimiter (#16790)
• Deprecate arctan2d in favor of arctan2(...).degrees() (#16786)

🚀 Performance improvements

• create UniqueKernel and improve bool implementation (#17160)
• parallel linearize in new streaming engine (#17050)
• Default to writing binview data to IPC (#17084)
• Parallelize arrow conversion if binview -> large_bin (#17083)
• GC buffers in if_then_else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic argsort of row-encoding (#16894)
• Improve rle_id iteration perf and set sorted flags (#16893)
• Optimize string/binary sort (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)

✨ Enhancements

• Support reading byte stream split encoded floats and doubles in parquet (#17099)
• Add float_scientific option to write_csv/sink_csv (#17111)
• Support Struct field selection in the SQL engine, RENAME and REPLACE select wildcard options (#17109)
• Update DataFrame.pivot to allow index=None when values is set (#17126)
• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Improve ipython autocomplete for LazyFrame and DataFrame (#17091)
• Split replace functionality into two separate functions (#16921)
• Improve schema inference for hive partitions (#17079)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• print row index in explain + dot (#17074)
• Support top-level pl.col autocompletion for iPython (#17080)
• Remove re-export of exceptions at top-level (#17059)
• predicate + projection pushdown in NDJson (#17068)
• Allow (non-)coalescing in join_asof (#17066)
• Turn of coalescing and fix mutation of join on expressions (#17061)
• Expand NDJson glob into one SCAN (#17063)
• Do not parse hive partitions from user provided base directory path (#17055)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Implement general array equality checks (#17043)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Add rechunk parameter to read_delta (#16991)
• allow experimental metadata use on release (#17005)
• first working prototype of new streaming engine (#16970)
• Add simple version of json_normalize (#17015)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Desugar AND filter into multiple nodes (#16992)
• Handle textio even if not correct (#16971)
• Properly apply strict parameter in Series constructor (#16939)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Add PerformanceWarning to LazyFrame properties (#16964)
• Add collect_schema method to LazyFrame and DataFrame (#16929)
• Allow setting file cache TTL on a per-file basis (#16891)
• Support Decimal inputs for lit (#16950)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• add style namespace (which defers to Great Tables) (#16809)
• Add Schema class (#16873)
• Normalize value_counts (#16917)
• add eq/ne for more FixedSizeLists (#16902)
• setup skeleton (#16900)
• add fundamentals for new async-based streaming execution engine (#16884)
• Cache downloaded cloud IPC files (#16892)
• Consistently convert to given time zone in Series constructor (#16828)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• Support Python Enum values in lit (#16858)
• convert to give time zone in .str.to_datetime when values are offset-aware (#16742)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#16767)
• Improve error message when raising integers to negative integers, improve docs (#16827)
• Return datetime for mean/median of Date colum (#16795)
• Update set_sorted to only accept a single column (#16800)
• Expose overflowing cast (#16805)
• Update group_by iteration and partition_by to always return tuple keys (#16793)
• Support array arithmetic for equally sized shapes (#16791)
• Expedited removal of certain deprecated functionality (2) (#16779)
• Removal of read_database_uri passthrough from read_database (#16783)
• Remove pyxlsb engine from read_database (#16784)
• Add check_order parameter to assert_series_equal (#16778)
• Enforce deprecation of keyword arguments as positional (#16755)
• Support cloud storage in scan_csv (#16674)
• Streamline SQL INTERVAL handling and improve related error messages, update sqlparser-rs lib (#16744)
• Support use of ordinal values in SQL ORDER BY clause (#16745)
• Support executing polars SQL against pandas and pyarrow objects (#16746)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Remove deprecated functionality from rolling methods (#16750)
• Update date_range to no longer produce datetime ranges (#16734)
• Mark min_periods as keyword-only for rolling methods (#16738)
• Remove deprecated top_k parameters nulls_last, maintain_order, and multithreaded (#16599)
• Support order-by in window functions (#16743)
• Add SQL support for NULLS FIRST/LAST ordering (#16711)
• Update some error types to more appropriate variants (#15030)
• Initial SQL support for INTERVAL strings (#16732)
• Scheduled removal of deprecated functionality (2) (#16724)
• Scheduled removal of deprecated functionality (#16715)
• Enforce deprecation of `off...

Python Polars 1.0.0-rc.1

💥 Breaking changes

• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Split replace functionality into two separate functions (#16921)
• Default to writing binview data to IPC (#17084)
• Do not parse hive partitions from user provided directory/glob path (#17055)
• Remove re-export of type aliases (#17032)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Properly apply strict parameter in Series constructor (#16939)
• Remove supertype definition of List and non-List types (#16918)
• Consistently convert to given time zone in Series constructor (#16828)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Update set_sorted to only accept a single column (#16800)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Scheduled removal of deprecated functionality (#16715)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)

⚠️ Deprecations

• Deprecate size parameter in parametric testing strategies in favor of min_size/max_size (#17128)
• Split replace functionality into two separate functions (#16921)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Remove re-export of exceptions at top-level (#17059)
• Deprecate dt.mean/dt.median in favor of mean/median (#16888)
• Deprecate LazyFrame.with_context in favor of horizontal concatenation (#16860)
• Rename parameter descending to reverse in top_k methods (#16817)
• Rename str.concat to str.join and update default delimiter (#16790)
• Deprecate arctan2d in favor of arctan2(...).degrees() (#16786)

🚀 Performance improvements

• Default to writing binview data to IPC (#17084)
• Parallelize arrow conversion if binview -> large_bin (#17083)
• GC buffers in if_then_else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic argsort of row-encoding (#16894)
• Improve rle_id iteration perf and set sorted flags (#16893)
• Optimize string/binary sort (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)

✨ Enhancements

• Update DataFrame.pivot to allow index=None when values is set (#17126)
• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Improve ipython autocomplete for LazyFrame and DataFrame (#17091)
• Split replace functionality into two separate functions (#16921)
• Improve schema inference for hive partitions (#17079)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• print row index in explain + dot (#17074)
• Support top-level pl.col autocompletion for iPython (#17080)
• Remove re-export of exceptions at top-level (#17059)
• predicate + projection pushdown in NDJson (#17068)
• Allow (non-)coalescing in join_asof (#17066)
• Turn of coalescing and fix mutation of join on expressions (#17061)
• Expand NDJson glob into one SCAN (#17063)
• Do not parse hive partitions from user provided directory/glob path (#17055)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Implement general array equality checks (#17043)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Rename ModuleUpgradeRequired and PolarsPanicError error, remove InvalidAssert error (#17033)
• Add rechunk parameter to read_delta (#16991)
• allow experimental metadata use on release (#17005)
• first working prototype of new streaming engine (#16970)
• Add simple version of json_normalize (#17015)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Desugar AND filter into multiple nodes (#16992)
• Handle textio even if not correct (#16971)
• Properly apply strict parameter in Series constructor (#16939)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Add PerformanceWarning to LazyFrame properties (#16964)
• Add collect_schema method to LazyFrame and DataFrame (#16929)
• Allow setting file cache TTL on a per-file basis (#16891)
• Support Decimal inputs for lit (#16950)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• add style namespace (which defers to Great Tables) (#16809)
• Add Schema class (#16873)
• Normalize value_counts (#16917)
• add eq/ne for more FixedSizeLists (#16902)
• setup skeleton (#16900)
• add fundamentals for new async-based streaming execution engine (#16884)
• Cache downloaded cloud IPC files (#16892)
• Consistently convert to given time zone in Series constructor (#16828)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• Support Python Enum values in lit (#16858)
• convert to give time zone in .str.to_datetime when values are offset-aware (#16742)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#16767)
• Improve error message when raising integers to negative integers, improve docs (#16827)
• Return datetime for mean/median of Date colum (#16795)
• Update set_sorted to only accept a single column (#16800)
• Expose overflowing cast (#16805)
• Update group_by iteration and partition_by to always return tuple keys (#16793)
• Support array arithmetic for equally sized shapes (#16791)
• Expedited removal of certain deprecated functionality (2) (#16779)
• Removal of read_database_uri passthrough from read_database (#16783)
• Remove pyxlsb engine from read_database (#16784)
• Add check_order parameter to assert_series_equal (#16778)
• Enforce deprecation of keyword arguments as positional (#16755)
• Support cloud storage in scan_csv (#16674)
• Streamline SQL INTERVAL handling and improve related error messages, update sqlparser-rs lib (#16744)
• Support use of ordinal values in SQL ORDER BY clause (#16745)
• Support executing polars SQL against pandas and pyarrow objects (#16746)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Remove deprecated functionality from rolling methods (#16750)
• Update date_range to no longer produce datetime ranges (#16734)
• Mark min_periods as keyword-only for rolling methods (#16738)
• Remove deprecated top_k parameters nulls_last, maintain_order, and multithreaded (#16599)
• Support order-by in window functions (#16743)
• Add SQL support for NULLS FIRST/LAST ordering (#16711)
• Update some error types to more appropriate variants (#15030)
• Initial SQL support for INTERVAL strings (#16732)
• Scheduled removal of deprecated functionality (2) (#16724)
• Scheduled removal of deprecated functionality (#16715)
• Enforce deprecation of offset arg in truncate and round (#16655)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Upda...

Rust Polars 0.41.0

💥 Breaking changes

• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Split replace functionality into two separate functions (#16921)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• Default to writing binview data to IPC (#17084)
• Do not parse hive partitions from user provided directory/glob path (#17055)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• Remove supertype definition of List and non-List types (#16918)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• move offset_by implementation from polars-plan to polars-time, rename feature from DateOffset to OffsetBy (#16796)
• Rename str.concat to str.join and update default delimiter (#16790)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Add check_names parameter to Series.equals and default to False (#16610)
• Deprecate str.explode in favor of str.split("").explode() (#16508)
• Deprecate how="outer" join type in favour of how="full" (left/right are *also* outer joins) (#16417)
• Change DataFrame.is_empty() to check height == 0 instead of width == 0 (#16351)

🚀 Performance improvements

• Default to writing binview data to IPC (#17084)
• Parallelize arrow conversion if binview -> large_bin (#17083)
• GC buffers in if_then_else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic argsort of row-encoding (#16894)
• Improve rle_id iteration perf and set sorted flags (#16893)
• Optimize string/binary sort (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)
• make truncate 4x faster in simple cases (#16615)
• Cache arena's (and conversion) in SQL context (#16566)
• Partial schema cache. (#16549)
• improved numeric fill_(forward/backward) (#16475)
• only rechunk once per aggregate (#16469)
• Fix pathological small chunk parquet writing (#16433)

✨ Enhancements

• Make hive_partitioning parameter default to None, which is automatically enabled for single directory inputs, and disabled otherwise (#17106)
• Split replace functionality into two separate functions (#16921)
• Improve schema inference for hive partitions (#17079)
• Rename DataFrame.melt to unpivot and make parameters consistent with pivot (#17095)
• print row index in explain + dot (#17074)
• Support top-level pl.col autocompletion for iPython (#17080)
• predicate + projection pushdown in NDJson (#17068)
• Allow (non-)coalescing in join_asof (#17066)
• Turn of coalescing and fix mutation of join on expressions (#17061)
• Expand NDJson glob into one SCAN (#17063)
• Do not parse hive partitions from user provided directory/glob path (#17055)
• Support directory paths in scans for Parquet, IPC and CSV (#17017)
• Implement general array equality checks (#17043)
• Add strict parameter to DataFrame/LazyFrame.drop and fix behavior to default to True (#17044)
• allow experimental metadata use on release (#17005)
• first working prototype of new streaming engine (#16970)
• Desugar AND filter into multiple nodes (#16992)
• use min/max metadata on debug builds with POLARS_METADATA_FLAGS=extensive (#16963)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Allow setting file cache TTL on a per-file basis (#16891)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• Normalize value_counts (#16917)
• add eq/ne for more FixedSizeLists (#16902)
• setup skeleton (#16900)
• add fundamentals for new async-based streaming execution engine (#16884)
• Cache downloaded cloud IPC files (#16892)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• convert to give time zone in .str.to_datetime when values are offset-aware (#16742)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#16767)
• Improve error message when raising integers to negative integers, improve docs (#16827)
• Return datetime for mean/median of Date colum (#16795)
• Expose overflowing cast (#16805)
• Expose a few more expression nodes in the expression IR (#16781)
• Support array arithmetic for equally sized shapes (#16791)
• Support cloud storage in scan_csv (#16674)
• Streamline SQL INTERVAL handling and improve related error messages, update sqlparser-rs lib (#16744)
• Support use of ordinal values in SQL ORDER BY clause (#16745)
• Support executing polars SQL against pandas and pyarrow objects (#16746)
• add env locked metadata functions (#16719)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update date_range to no longer produce datetime ranges (#16734)
• Remove deprecated top_k parameters nulls_last, maintain_order, and multithreaded (#16599)
• Support order-by in window functions (#16743)
• Add SQL support for NULLS FIRST/LAST ordering (#16711)
• Update some error types to more appropriate variants (#15030)
• Initial SQL support for INTERVAL strings (#16732)
• Enforce deprecation of offset arg in truncate and round (#16655)
• eliminate ProjectionExprs and handle CSE by stacking extra columns (#16682)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Add many more auto-inferable datetime formats for str.to_datetime (#16634)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Add check_names parameter to Series.equals and default to False (#16610)
• Dedicated SQLInterface and SQLSyntax errors (#16635)
• Add DIV function support to the SQL interface (#16678)
• add additional control to write_parquet::statistics parameter (#16575)
• Support non-coalescing streaming left join (#16672)
• Allow wildcard and exclude before struct expansions (#16671)
• Support per-column nulls_last on sort operations (#16639)
• Add split_at method to arrow Array (#16620)
• Initial support for SQL ARRAY literals and the UNNEST table function (#16330)
• Don't allow struct.with_fields in grouping (#16629)
• Add SQL support for TRY_CAST function (#16589)
• add fuzzer for expressions (#16581)
• handle CSE dtypes in NodeTraverser.get_dtype (#16552)
• check if by column is sorted, rather than just checking sorted flag, in group_by_dynamic, upsample, and rolling (#16494)
• Add general metadata structure to ChunkedArray (#16399)
• Add is_column_selection() to expression meta, enhance expand_selector (#16479)
• NDarray/Tensor support (#16466)
• Allow designation of a custom name for the value_counts "count" column (#16434)
• Default rechunk=False for read_parquet (#16427)
• Add field expression as selector with an struct scope (#16402)
• Field expansion renaming (#16397)
• add cluster_with_columns plan optimization (#16274)
• Change DataFrame.is_empty() to check height == 0 instead of width == 0 (#16351)
• add Expr.interpolate_by (#16313)

🐞 Bug fixes

• Expand i128 primitive type match (#17076)
• Fix decompress_impl for csv with n_rows set (#17118)
• adds "polars-ops/timezones" dependency for "timezones" feature (#17115)
• Fix incorrect window std for chunked series (#17110)
• make GetOutput::get_field fallible (#17114)
• bubble error when no available bitrepr (#17116)
• Fix melt panic (#17088)
• Exclude index from expansion in rolling/group_by_dynamic (#17086)
• fix #17043 binary compare (#17052)
• Fix oob of join with literals and empty table (#17047)
• Don't silently accept multi-table FROM clauses (implicit JOIN syntax) (#17028)
• fix get categories on multiple row groups (#17041...

Python Polars 1.0.0-beta.1

💥 Breaking changes

• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Properly apply strict parameter in Series constructor (#16939)
• Remove supertype definition of List and non-List types (#16918)
• Consistently convert to given time zone in Series constructor (#16828)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Set infer_schema_length as keyword-only argument in str.json_decode (#16835)
• Update set_sorted to only accept a single column (#16800)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Update some error types to more appropriate variants (#15030)
• Scheduled removal of deprecated functionality (#16715)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)

⚠️ Deprecations

• Deprecate dt.mean/dt.median in favor of mean/median (#16888)
• Deprecate LazyFrame.with_context in favor of horizontal concatenation (#16860)
• Rename parameter descending to reverse in top_k methods (#16817)
• Rename str.concat to str.join and update default delimiter (#16790)
• Deprecate arctan2d in favor of arctan2(...).degrees() (#16786)

🚀 Performance improvements

• GC buffers in if_then_else view kernel (#16993)
• Desugar AND filter into multiple nodes (#16992)
• Optimize generic argsort of row-encoding (#16894)
• Improve rle_id iteration perf and set sorted flags (#16893)
• Optimize string/binary sort (#16871)
• Use split_at in split (#16865)
• Use split_at instead of double slice in chunk splits. (#16856)
• Don't rechunk in align_ if arrays are aligned (#16850)
• Don't create small chunks in parallel collect. (#16845)
• Add dedicated no-null branch in arg_sort (#16808)
• Speed up dt.offset_by 2x for constant durations (#16728)
• Toggle coalesce in join if non-coalesced key isn't projected (#16677)
• Make dt.truncate 1.5x faster when every is just a single duration (and not an expression) (#16666)
• Always prune unused columns in semi/anti join (#16665)

✨ Enhancements

• allow experimental metadata use on release (#17005)
• first working prototype of new streaming engine (#16970)
• Add simple version of json_normalize (#17015)
• Change data orientation inference logic for DataFrame construction and warn when row orientation is inferred (#16976)
• Desugar AND filter into multiple nodes (#16992)
• Handle textio even if not correct (#16971)
• Properly apply strict parameter in Series constructor (#16939)
• Add SQL support for INTERSECT and EXCEPT ops (#16960)
• Add PerformanceWarning to LazyFrame properties (#16964)
• Add collect_schema method to LazyFrame and DataFrame (#16929)
• Allow setting file cache TTL on a per-file basis (#16891)
• Support Decimal inputs for lit (#16950)
• Implement multiply and division for lhs duration (#16948)
• Raise on invalid temporal arithmetic (#16934)
• Always end with a in-memory sink on collect (#16928)
• add style namespace (which defers to Great Tables) (#16809)
• Add Schema class (#16873)
• Normalize value_counts (#16917)
• add eq/ne for more FixedSizeLists (#16902)
• setup skeleton (#16900)
• add fundamentals for new async-based streaming execution engine (#16884)
• Cache downloaded cloud IPC files (#16892)
• Consistently convert to given time zone in Series constructor (#16828)
• Improve read_csv SQL table reading function defaults (better handle dates) (#16866)
• Support SQL VALUES clause and inline renaming of columns in CTE & derived table definitions (#16851)
• Support Python Enum values in lit (#16858)
• convert to give time zone in .str.to_datetime when values are offset-aware (#16742)
• Update reshape to return Array types instead of List types (#16825)
• Default to raising on out-of-bounds indices in all get/gather operations (#16841)
• Support SQL "SELECT" with no tables, optimise registration of globals (#16836)
• Native selector XOR set operation, guarantee consistent selector column-order (#16833)
• Extend recognised EXTRACT and DATE_PART SQL part abbreviations (#16767)
• Improve error message when raising integers to negative integers, improve docs (#16827)
• Return datetime for mean/median of Date colum (#16795)
• Update set_sorted to only accept a single column (#16800)
• Expose overflowing cast (#16805)
• Update group_by iteration and partition_by to always return tuple keys (#16793)
• Support array arithmetic for equally sized shapes (#16791)
• Expedited removal of certain deprecated functionality (2) (#16779)
• Removal of read_database_uri passthrough from read_database (#16783)
• Remove pyxlsb engine from read_database (#16784)
• Add check_order parameter to assert_series_equal (#16778)
• Enforce deprecation of keyword arguments as positional (#16755)
• Support cloud storage in scan_csv (#16674)
• Streamline SQL INTERVAL handling and improve related error messages, update sqlparser-rs lib (#16744)
• Support use of ordinal values in SQL ORDER BY clause (#16745)
• Support executing polars SQL against pandas and pyarrow objects (#16746)
• Remove deprecated parameters in Series.cut/qcut and update struct field names (#16741)
• Expedited removal of certain deprecated functionality (#16754)
• Remove deprecated functionality from rolling methods (#16750)
• Update date_range to no longer produce datetime ranges (#16734)
• Mark min_periods as keyword-only for rolling methods (#16738)
• Remove deprecated top_k parameters nulls_last, maintain_order, and multithreaded (#16599)
• Support order-by in window functions (#16743)
• Add SQL support for NULLS FIRST/LAST ordering (#16711)
• Update some error types to more appropriate variants (#15030)
• Initial SQL support for INTERVAL strings (#16732)
• Scheduled removal of deprecated functionality (2) (#16724)
• Scheduled removal of deprecated functionality (#16715)
• Enforce deprecation of offset arg in truncate and round (#16655)
• Change default offset in group_by_dynamic from 'negative every' to 'zero' (#16658)
• Constrain access to globals from DataFrame.sql in favor of top-level pl.sql (#16598)
• Read 2D NumPy arrays as Array type instead of List (#16710)
• Update clip to no longer propagate nulls in the given bounds (#14413)
• Change str.to_datetime to default to microsecond precision for format specifiers "%f" and "%.f" (#13597)
• Update resulting column names in pivot when pivoting by multiple values (#16439)
• Preserve nulls in ewm_mean, ewm_std, and ewm_var (#15503)
• Restrict casting for temporal data types (#14142)
• Add many more auto-inferable datetime formats for str.to_datetime (#16634)
• Support Decimal types by default when converting from Arrow (#15324)
• Remove serde functionality from pl.read_json and DataFrame.write_json (#16550)
• Update function signature of nth to allow positional input of indices, remove columns parameter (#16510)
• Rename struct fields of rle output to len/value and update data type of len field (#15249)
• Remove class variables from some DataTypes (#16524)
• Add check_names parameter to Series.equals and default to False (#16610)
• Dedicated SQLInterface and SQLSyntax errors (#16635)
• Add DIV function support to the SQL interface (#16678)
• Support non-coalescing streaming left join (#16672)
• Allow wildcard and exclude before struct expansions (#16671)

🐞 Bug fixes

• properly catch not found explode cols (#17020)
• Correctly convert data frames to NumPy for C index order (#17000)
• Raise on invalid arithmetic shapes (#16986)
• Don't pushdown predicates in cross join if the refer to both tables (#16983)
• Fix projection pushdown with literal joins (#16981)
• Fix edge case in DataFrame constructor data orientation inference (#16975)
• Raise on list of objects (#16959)
• Handle strictness for Decimal Series construction (#15309)
• Don't panic in object to anyvalue (#16957)
• properly set FAST_EXPLODE_LIST metadata (#16951)
• Raise informative error when writing object to file (#16954)
• Remove supertype definition of List and non-List types (#16918)
• Remove unwrap in extend() (#16890)
• Fix should_rechunk check (#16852)
• Ensure read_excel and read_ods return identical frames across all engines when given empty spreadsheet tables (#16802)
• Consistent behaviour when "infer_schema_length=0" for read_excel (#16840)
• Standardised additional SQL interface errors (#16829)
• Ensure that splitted ChunkedArray also flattens chunks (#16837)
• Reduce needless panics in comparisons (#16831)
  -...