Python Polars 1.36.0-beta.2

🏆 Highlights

• Add Extension types (#25322)

✨ Enhancements

• Add SQL support for ROW_NUMBER, RANK, and DENSE_RANK functions (#25409)
• Add SQL support for named WINDOW references (#25400)
• Add BIT_NOT support to the SQL interface (#25094)
• Add LazyFrame.pivot (#25016)
• Add allow_empty flag to item (#25048)
• Add empty_as_null and keep_nulls flags to Expr.explode (#25289)
• Add empty_as_null and keep_nulls to {Lazy,Data}Frame.explode (#25369)
• Add having to group_by context (#23550)
• Add ignore_nulls to first / last (#25105)
• Add maintain_order to Expr.mode (#25377)
• Add quantile for missing temporals (#25464)
• Add leftmost option to str.replace_many / str.find_many / str.extract_many (#25398)
• Add strict parameter to pl.concat(how='horizontal') (#25452)
• Add support for Float16 dtype (#25185)
• Add unstable Schema.to_arrow (#25149)
• Allow Expr.rolling in aggregation contexts (#25258)
• Allow Expr.unique on List/Array with non-numeric types (#25285)
• Allow glimpse to return a DataFrame (#24803)
• Allow hash for all List dtypes (#25372)
• Allow implode and aggregation in aggregation context (#25357)
• Allow slice on scalar in aggregation context (#25358)
• Allow arbitrary Expressions in "subset" parameter of unique frame method (#25099)
• Allow arbitrary expressions as the Expr.rolling index_column (#25117)
• Allow bare .row on a single-row DataFrame, equivalent to .item on a single-element DataFrame (#25229)
• Allow elementwise Expr.over in aggregation context (#25402)
• Allow pl.Object in pivot value (#25533)
• Automatically Parquet dictionary encode floats (#25387)
• Display function of streaming physical plan map node (#25368)
• Documentation on Polars Cloud manifests (#25295)
• Expose and document pl.Categories (#25443)
• Expose fields for generating physical plan visualization data (#25562)
• Extend SQL UNNEST support to handle multiple array expressions (#25418)
• Improve SQL UNNEST behaviour (#22546)
• Improve error message on unsupported SQL subquery comparisons (#25135)
• Make DSL-hash skippable (#25140)
• Minor improvement for as_struct repr (#25529)
• Move GraphMetrics into StreamingQuery (#25310)
• Raise suitable error on non-integer "n" value for clear (#25266)
• Rewrite IR::Scan to IR::DataFrameScan in expand_datasets when applicable (#25106)
• Set polars/ user-agent (#25112)
• Streaming {Expr,LazyFrame}.rolling (#25058)
• Support BYTE_ARRAY backed Decimals in Parquet (#25076)
• Support ewm_var/std in streaming engine (#25109)
• Support unique_counts for all datatypes (#25379)
• Support additional forms of SQL "CREATE TABLE" statements (#25191)
• Support arbitrary expressions in SQL JOIN constraints (#25132)
• Support column-positional SQL "UNION" operations (#25183)
• Support decimals in search_sorted (#25450)
• Temporal quantile in rolling context (#25479)
• Use reference to Graph pipes when flushing metrics (#25442)

🚀 Performance improvements

• Add parquet prefiltering for string regexes (#25381)
• Add streaming native LazyFrame.group_by_dynamic (#25342)
• Add streaming sorted Group-By (#25013)
• Allow detecting plan sortedness in more cases (#25408)
• Don't recompute full rolling moment window when NaNs/nulls leave the window (#25078)
• Enable predicate expressions on unsigned integers (#25416)
• Fast find start window in group_by_dynamic with large offset (#25376)
• Faster kernels for rle_lengths (#25448)
• Fuse positive slice into streaming LazyFrame.rolling (#25338)
• Lazy gather for {forward,backward}_fill in group-by contexts (#25115)
• Mark Expr.reshape((-1,)) as row separable (#25326)
• Mark output of more non-order-maintaining ops as unordered (#25419)
• Optimize ipc stream read performance (#24671)
• Reduce HuggingFace API calls (#25521)
• Return references from aexpr_to_leaf_names_iter (#25319)
• Skip filtering scan IR if no paths were filtered (#25037)
• Use bitmap instead of Vec in first/last w. skip_nulls (#25318)
• Use fast path for agg_min/agg_max when nulls present (#25374)
• Use strong hash instead of traversal for CSPE equality (#25537)

🐞 Bug fixes

• Add .rolling_rank support for temporal types and pl.Boolean (#25509)
• Address issues with SQL OVER clause behaviour for window functions (#25249)
• Aggregation with drop_nulls on literal (#25356)
• Allow Null dtype values in scatter (#25245)
• Allow broadcast in group_by for ApplyExpr and BinaryExpr (#25053)
• Allow empty list in sort_by in list.eval context (#25481)
• Allow for negative time in group_by_dynamic iterator (#25041)
• Always respect return_dtype in map_elements and map_rows (#25504)
• AnyValue::to_physical for categoricals (#25341)
• Apply CSV dict overrides by name only (#25436)
• Block predicate pushdown when group_by key values are changed (#25032)
• Bugs in pl.from_repr with signed exponential floats and line wrapping (#25331)
• Correct drop_items for scalar input (#25351)
• Correct eq_missing for struct with nulls (#25363)
• Correct {first,last}_non_null if there are empty chunks (#25279)
• Correct handle requested stops in streaming shift (#25239)
• Correctly prune projected columns in hints (#25250)
• DSL_SCHEMA_HASH should not changed by line endings (#25123)
• Don't push down predicates passed inserted cache nodes (#25042)
• Don't quietly allow unsupported SQL SELECT clauses (#25282)
• Don't trigger DeprecationWarning from SQL "IN" constraints that use subqueries (#25111)
• Enhanced column resolution/tracking through multi-way SQL joins (#25181)
• Ensure SQL table alias resolution checks against CTE aliases on fallback (#25071)
• Ensure out-of-range integers and other edge case values don't give wrong results for index_of (#24369)
• Fix CSV select(len) off by 1 with comment prefix (#25069)
• Fix arr.{eval,agg} in aggregation context (#25390)
• Fix format_str in case of multiple chunks (#25162)
• Fix groups update on slices with different offsets (#25097)
• Fix assertion panic on group_by (#25179)
• Fix building polars-expr without timezones feature (#25254)
• Fix building polars-mem-engine with the async feature (#25300)
• Fix building polars-plan with features lazy,concat_str (but no strings) (#25306)
• Fix dictionary replacement error in write_ipc (#25497)
• Fix expr slice pushdown causing shape error on literals (#25485)
• Fix field metadata for nested categorical PyCapsule export (#25052)
• Fix group lengths check in sort_by with AggregatedScalar (#25503)
• Fix handling Null dtype in ApplyExpr on group_by (#25077)
• Fix incorrect .list.eval after slicing operations (#25540)
• Fix incorrect reshape on sliced lists (#25139)
• Fix length preserving check for eval expressions in streaming engine (#25294)
• Fix occurence of exact matches of .join_asof(strategy="nearest", allow_exact_matches=False, ...) (#25506)
• Fix off-by-one bug in ColumnPredicates generation for inequalities operating on integer columns (#25412)
• Fix panic if scan predicate produces 0 length mask (#25089)
• Fix panic in dt.truncate for invalid duration strings (#25124)
• Fix panic in is_between support in streaming Parquet predicate push down (#25476)
• Fix panic when using struct field as join key (#25059)
• Fix serialization of lazyframes containing huge tables (#25190)
• Fix single-column CSV header duplication with leading empty lines (#25186)
• Fix small bug with PyExpr to PyObject conversion (#25265)
• Group-By aggregation problems caused by AmortSeries (#25043)
• Handle some unusual pl.col.<colname> edge-cases (#25153)
• Incorrect result in aggregated first/last with ignore_nulls (#25414)
• Incorrect results for aggregated {n_,}unique on bools (#25275)
• Invert drop_nans filtering in group-by context (#25146)
• Make str.json_decode output deterministic with lists (#25240)
• Mark {forward,backward}_fill as length_preserving (#25352)
• Minor improvement to internal is_pycapsule utility function (#25073)
• Nested dtypes in streaming first_non_null/last_non_null (#25375)
• Nested dtypes in streaming first/last (#25298)
• Panic exception when calling Expr.rolling in .over (#25283)
• Panic in group_by_dynamic with group_by and multiple chunks (#25075)
• Parquet is_in for mixed validity pages (#25313)
• Prevent panic when joining sorted LazyFrame with itself (#25453)
• Raise error for all/any on list instead of panic (#25018)
• Raise error on out-of-range dates in temporal operations (#25471)
• Remove Expr casts in pl.lit invocations (#25373)
• Resolve edge-case with SQL aggregates that have the same name as one of the "GROUP BY" keys (#25362)
• Return the correct string-case Expr reprs (#25101)
• Reverse on chunked struct (#25281)
• Revert pl.format behavior with nulls (#25370)
• Rolling mean/median for temporals (#25512)
• Run async DB queries with regular asyncio if not inside a running loop (#25268)
• SQL "NATURAL" joins should coalesce the key columns (#25353)
• Schema mismatch with list.agg, unique and scalar (#25348)
• Solve multiple issues relating to arena mutation in SQL subqueries (#25110)
• Strict conversion AnyValue to Struct (#25536)
• Support "index" as column name in group_by iterator (#25138)
• Support AggregatedList in list.{eval,agg} context (#25385)
• The SQL interface should use logical, not bitwise, behaviour for unary "NOT" operator (#25091)
• Unique key names in streaming sort/top_k (#25082)
• Unique on literal in aggregation context (#25359)
• Use (i64, u64) for VisualizationData (offset, length) slices (#25203)
• Use Cargo.template.toml to prevent git dependencies from using template (#25392)
• Validate list.slice parameters are not list...

Python Polars 1.35.2

• Fix incorrect drop_nans() result when used in group_by() / over() (#25146)
• Fix handling Null dtype in ApplyExpr on group_by(#25077)
• Fix assertion panic on group_by (#25179)
• Fix Wide-table join performance regression (#25222)

Thank you to all our contributors for making this release possible!
@coastalwhite, @kdn36, @nameexhaustion and @ritchie46

Rust Polars 0.52.0

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Lazy gather for {forward,backward}_fill in group-by contexts (#25115)
• Don't recompute full rolling moment window when NaNs/nulls leave the window (#25078)
• Skip filtering scan IR if no paths were filtered (#25037)
• Optimize ipc stream read performance (#24671)
• Bump foldhash to 0.2.0 and hashbrown to 0.16.0 (#25014)
• Lower unique to native group-by and speed up n_unique in group-by context (#24976)
• Better parallelize take{_slice,}_unchecked (#24980)
• Implement native skew and kurtosis in group-by context (#24961)
• Use native group-by aggregations for bitwise_* operations (#24935)
• Address group_by_dynamic slowness in sparse data (#24916)
• Native filter/drop_nulls/drop_nans in group-by context (#24897)
• Implement cumulative_eval using the group-by engine (#24889)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Implement native null_count, any and all group-by aggregations (#24859)
• Speed up reverse in group-by context (#24855)
• Prune unused categorical values when exporting to arrow/parquet/IPC/pickle (#24829)
• Don't check duplicates on streaming simple projection in release mode (#24830)
• Lower approx_n_unique to the streaming engine (#24821)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Use native reducer for first/last on Decimals, Categoricals and Enums (#24786)
• Implement indexed method for BitMapIter::nth (#24766)
• Pushdown slices on plans within unions (#24735)
• Optimize gather_every(n=1) to slice (#24704)
• Lower null count to streaming engine (#24703)
• Native streaming gather_every (#24700)
• Pushdown filter with strptime if input is literal (#24694)
• Avoid copying expanded paths (#24669)
• Relax filter expr ordering (#24662)
• Remove unnecessary groups call in aggregated (#24651)
• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)

✨ Enhancements

• Improve error message on unsupported SQL subquery comparisons (#25135)
• Rewrite IR::Scan to IR::DataFrameScan in expand_datasets when applicable (#25106)
• Support ewm_var/std in streaming engine (#25109)
• Make DSL-hash skippable (#25140)
• Streaming {Expr,LazyFrame}.rolling (#25058)
• Set polars/<version> user-agent (#25112)
• Add BIT_NOT support to the SQL interface (#25094)
• Support BYTE_ARRAY backed Decimals in Parquet (#25076)
• Add allow_empty flag to item (#25048)
• Support ewm_mean() in streaming engine (#25003)
• Improve row-count estimates (#24996)
• Remove filtered scan paths in IR when possible (#24974)
• Introduce remote Polars MCP server (#24977)
• Allow local scans on polars cloud (configurable) (#24962)
• Add Expr.item to strictly extract a single value from an expression (#24888)
• Add environment variable to roundtrip empty struct in Parquet (#24914)
• Add glob parameter to scan_ipc (#24898)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Add list.agg and arr.agg (#24790)
• Implement {Expr,Series}.rolling_rank() (#24776)
• Support MergeSorted in CSPE (#24805)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Recursively apply CSPE (#24798)
• Add streaming engine per-node metrics (#24788)
• Add arr.eval (#24472)
• Improve rolling_(sum|mean) accuracy (#24743)
• Add nth_set_bit_u64() with unit test (#24035)
• Add separator to {Data,Lazy}Frame.unnest (#24716)
• Add union() function for unordered concatenation (#24298)
• Add name.replace to the set of column rename options (#17942)
• Allow duration strings with leading "+" (#24737)
• Drop now-unnecessary post-init "schema_overrides" cast on DataFrame load from list of dicts (#24739)
• Add support for UInt128 to pyo3-polars (#24731)
• Implement maintain_order for cross join (#24665)
• Add support to output dt.total_{}() duration values as fractionals (#24598)
• Support scanning from file:/path URIs (#24603)
• Log which file the schema was sourced from, and which file caused an extra column error (#24621)
• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)

🐞 Bug fixes

• Fix CSV select(len()) off by 1 with comment prefix (#25069)
• Fix incorrect reshape on sliced lists (#25139)
• Support "index" as column name in group_by iterator (#25138)
• DSL_SCHEMA_HASH should not changed by line endings (#25123)
• Solve multiple issues relating to arena mutation in SQL subqueries (#25110)
• Fix panic in dt.truncate for invalid duration strings (#25124)
• Don't trigger DeprecationWarning from SQL "IN" constraints that use subqueries (#25111)
• Return the correct string-case Expr reprs (#25101)
• Fix groups update on slices with different offsets (#25097)
• Fix handling Null dtype in ApplyExpr on group_by (#25077)
• Raise error for all/any on list instead of panic (#25018)
• Unique key names in streaming sort/top_k (#25082)
• The SQL interface should use logical, not bitwise, behaviour for unary "NOT" operator (#25091)
• Fix panic if scan predicate produces 0 length mask (#25089)
• Ensure SQL table alias resolution checks against CTE aliases on fallback (#25071)
• Panic in group_by_dynamic with group_by and multiple chunks (#25075)
• Fix panic when using struct field as join key (#25059)
• Allow broadcast in group_by for ApplyExpr and BinaryExpr (#25053)
• Fix field metadata for nested categorical PyCapsule export (#25052)
• Block predicate pushdown when group_by key values are changed (#25032)
• Group-By aggregation problems caused by AmortSeries (#25043)
• Don't push down predicates passed inserted cache nodes (#25042)
• Allow for negative time in group_by_dynamic iterator (#25041)
• Re-enable CPU feature check before import (#25010)
• Correctness any(ignore_nulls) and OOB in all (#25005)
• Streaming any/all with ignore_nulls=False (#25008)
• Fix incorrect join_asof on a casted expression (#25006)
• Optimize memory on rolling groups in ApplyExpr (#24709)
• Fallback Pyarrow scan to in-memory engine (#24991)
• Make Operator::swap_operands return correct operators for Plus, Minus, Multiply and Divide (#24997)
• Capitalize letters after numbers in to_titlecase (#24993)
• Preserve null values in pct_change (#24952)
• Raise length mismatch on over with sliced groups (#24887)
• Check duplicate name in transpose (#24956)
• Follow Kleene logic in any / all for group-by (#24940)
• Do not optimize cross join to iejoin if order maintaining (#24950)
• Broadcast partition_by columns in over expression (#24874)
• Clear index cache on stacked df.filter expressions (#24870)
• Fix 'explode' mapping strategy on scalar value (#24861)
• Fix repeated with_row_index() after scan() silently ignored (#24866)
• Correctly return min and max for enums in groupby aggregation (#24808)
• Refactor BinaryExpr in group_by dispatch logic (#24548)
• Fix aggstate for gather (#24857)
• Keep scalars for length preserving functions in group_by (#24819)
• Have range feature depend on dtype-array feature (#24853)
• Fix duplicate select panic (#24836)
• Inconsistency of list.sum() result type with None values (#24476)
• Division by zero in Expr.dt.truncate (#24832)
• Potential deadlock in __arrow_c_stream__ (#24831)
• Allow double aggregations in group-by contexts (#24823)
• Series.shrink_dtype for i128/u128 (#24833)
• Fix dtype in EvalExpr (#24650)
• Allow aggregations on AggState::LiteralScalar (#24820)
• Dispatch to group_aware for fallible expressions with masked out elements (#24815)
• Fix error for arr.sum() on small integer Array dtypes containing nulls (#24478)
• Fix XOR did not follow kleene when one side is unit-length (#24810)
• Incorrect precision in Series.str.to_decimal (#24804)
• Use overlapping instead of rolling (#24787)
• Fix iterable on dynamic_group_by and rolling object (#24740)
• Use Kahan summation for in-memory groupby sum/mean (#24774)
• Release GIL in PythonScan predicate evaluation (#24779)
• Type error in bitmask::nth_set_bit_u64 (#24775)
• Add Expr.sign for Decimal datatype (#24717)
• Correct str.replace with missing pattern (#24768)
• Support decimal_comma on Decimal type in write_csv (#24718)
• Parse Decimal with comma as decimal separator in CSV (#24685)
• Make Categories pickleable (#24691)
• Shift on array within list (#24678)
• Fix handling of AggregatedScalar in ApplyExpr single input (#24634)
• Support reading of mixed compressed/uncompressed IPC buffers (#24674)
• Overflow in slice-slice optimization (#24658)
• Package discovery for setuptools (#24656)
• Add type assertion to prevent out-of-bounds in GenericFirstLastGroupedReduction (#24590)
• Remove inclusion of polars dir in runtime sdist/wheel (#24654)
• Method dt.month_end was unnecessarily raising when the month-start timestamp was ambiguous (#24647)
• Fix unsupported arrow type Dictionary error in scan_iceberg() (#24573)
• Raise Exception instead of panic when unnest on non-struct column (#24471)
• Include missing feature dependency from polars-stream/diff to `polars-pla...

Python Polars 1.35.1

🚀 Performance improvements

• Don't recompute full rolling moment window when NaNs/nulls leave the window (#25078)
• Skip filtering scan IR if no paths were filtered (#25037)
• Optimize ipc stream read performance (#24671)

✨ Enhancements

• Support BYTE_ARRAY backed Decimals in Parquet (#25076)
• Allow glimpse to return a DataFrame (#24803)
• Add allow_empty flag to item (#25048)

🐞 Bug fixes

• The SQL interface should use logical, not bitwise, behaviour for unary "NOT" operator (#25091)
• Fix panic if scan predicate produces 0 length mask (#25089)
• Ensure SQL table alias resolution checks against CTE aliases on fallback (#25071)
• Panic in group_by_dynamic with group_by and multiple chunks (#25075)
• Minor improvement to internal is_pycapsule utility function (#25073)
• Fix panic when using struct field as join key (#25059)
• Allow broadcast in group_by for ApplyExpr and BinaryExpr (#25053)
• Fix field metadata for nested categorical PyCapsule export (#25052)
• Block predicate pushdown when group_by key values are changed (#25032)
• Group-By aggregation problems caused by AmortSeries (#25043)
• Don't push down predicates passed inserted cache nodes (#25042)
• Allow for negative time in group_by_dynamic iterator (#25041)

📖 Documentation

• Fix typo in public dataset URL (#25044)

🛠️ Other improvements

• Disable recursive CSPE for now (#25085)
• Change group length mismatch error to ShapeError (#25004)
• Update toolchain (#25007)

Thank you to all our contributors for making this release possible!
@Kevin-Patyk, @Liyixin95, @alexander-beedie, @coastalwhite, @kdn36, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst

Python Polars 1.35.0

🏆 Highlights

• Stabilize decimal (#25020)

🚀 Performance improvements

• Bump foldhash to 0.2.0 and hashbrown to 0.16.0 (#25014)
• Lower unique to native group-by and speed up n_unique in group-by context (#24976)
• Better parallelize take{_slice,}_unchecked (#24980)
• Implement native skew and kurtosis in group-by context (#24961)
• Use native group-by aggregations for bitwise_* operations (#24935)
• Address group_by_dynamic slowness in sparse data (#24916)
• Push filters to PyIceberg (#24910)
• Native filter/drop_nulls/drop_nans in group-by context (#24897)
• Implement cumulative_eval using the group-by engine (#24889)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Implement native null_count, any and all group-by aggregations (#24859)
• Speed up reverse in group-by context (#24855)
• Prune unused categorical values when exporting to arrow/parquet/IPC/pickle (#24829)
• Don't check duplicates on streaming simple projection in release mode (#24830)
• Lower approx_n_unique to the streaming engine (#24821)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Use native reducer for first/last on Decimals, Categoricals and Enums (#24786)
• Implement indexed method for BitMapIter::nth (#24766)
• Pushdown slices on plans within unions (#24735)

✨ Enhancements

• Stabilize decimal (#25020)
• Support ewm_mean() in streaming engine (#25003)
• Improve row-count estimates (#24996)
• Remove filtered scan paths in IR when possible (#24974)
• Introduce remote Polars MCP server (#24977)
• Allow local scans on polars cloud (configurable) (#24962)
• Add Expr.item to strictly extract a single value from an expression (#24888)
• Add environment variable to roundtrip empty struct in Parquet (#24914)
• Fast-count for scan_iceberg().select(len()) (#24602)
• Add glob parameter to scan_ipc (#24898)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Add list.agg and arr.agg (#24790)
• Implement {Expr,Series}.rolling_rank() (#24776)
• Don't require PyArrow for read_database_uri if ADBC engine version supports PyCapsule interface (#24029)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Support MergeSorted in CSPE (#24805)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Recursively apply CSPE (#24798)
• Add streaming engine per-node metrics (#24788)
• Add arr.eval (#24472)
• Drop PyArrow requirement for non-batched usage of read_database with the ADBC engine and support iter_batches with the ADBC engine (#24180)
• Improve rolling_(sum|mean) accuracy (#24743)
• Add separator to {Data,Lazy}Frame.unnest (#24716)
• Add union() function for unordered concatenation (#24298)
• Add name.replace to the set of column rename options (#17942)
• Support np.ndarray -> AnyValue conversion (#24748)
• Allow duration strings with leading "+" (#24737)
• Drop now-unnecessary post-init "schema_overrides" cast on DataFrame load from list of dicts (#24739)
• Add support for UInt128 to pyo3-polars (#24731)

🐞 Bug fixes

• Re-enable CPU feature check before import (#25010)
• Implement read_excel workaround for fastexcel/calamine issue loading a column subset from a named table (#25012)
• Correctness any(ignore_nulls) and OOB in all (#25005)
• Streaming any/all with ignore_nulls=False (#25008)
• Fix incorrect join_asof on a casted expression (#25006)
• Optimize memory on rolling groups in ApplyExpr (#24709)
• Fallback Pyarrow scan to in-memory engine (#24991)
• Make Operator::swap_operands return correct operators for Plus, Minus, Multiply and Divide (#24997)
• Capitalize letters after numbers in to_titlecase (#24993)
• Preserve null values in pct_change (#24952)
• Raise length mismatch on over with sliced groups (#24887)
• Check duplicate name in transpose (#24956)
• Follow Kleene logic in any / all for group-by (#24940)
• Do not optimize cross join to iejoin if order maintaining (#24950)
• Fix typing of scan_parquet partially unknown (#24928)
• Properly release the GIL for read_parquet_metadata (#24922)
• Broadcast partition_by columns in over expression (#24874)
• Clear index cache on stacked df.filter expressions (#24870)
• Fix 'explode' mapping strategy on scalar value (#24861)
• Fix repeated with_row_index() after scan() silently ignored (#24866)
• Correctly return min and max for enums in groupby aggregation (#24808)
• Refactor BinaryExpr in group_by dispatch logic (#24548)
• Fix aggstate for gather (#24857)
• Keep scalars for length preserving functions in group_by (#24819)
• Have range feature depend on dtype-array feature (#24853)
• Fix duplicate select panic (#24836)
• Inconsistency of list.sum() result type with None values (#24476)
• Division by zero in Expr.dt.truncate (#24832)
• Potential deadlock in __arrow_c_stream__ (#24831)
• Allow double aggregations in group-by contexts (#24823)
• Series.shrink_dtype for i128/u128 (#24833)
• Fix dtype in EvalExpr (#24650)
• Allow aggregations on AggState::LiteralScalar (#24820)
• Dispatch to group_aware for fallible expressions with masked out elements (#24815)
• Fix error for arr.sum() on small integer Array dtypes containing nulls (#24478)
• Fix regression on write_database() to Snowflake due to unsupported string view type (#24622)
• Fix XOR did not follow kleene when one side is unit-length (#24810)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Incorrect precision in Series.str.to_decimal (#24804)
• Use overlapping instead of rolling (#24787)
• Fix iterable on dynamic_group_by and rolling object (#24740)
• Use Kahan summation for in-memory groupby sum/mean (#24774)
• Release GIL in PythonScan predicate evaluation (#24779)
• Type error in bitmask::nth_set_bit_u64 (#24775)
• Add Expr.sign for Decimal datatype (#24717)
• Correct str.replace with missing pattern (#24768)
• Ensure schema_overrides is respected when loading iterable row data (#24721)
• Support decimal_comma on Decimal type in write_csv (#24718)

📖 Documentation

• Introduce remote Polars MCP server (#24977)
• Add {arr,list}.agg API references (#24970)
• Support LLM in docs (#24958)
• Update Cloud docs with correct fn argument order (#24939)
• Update name.replace examples (#24941)
• Add i128 and u128 features to user guide (#24938)
• Add partitioning examples for sink_* methods (#24918)
• Add more {unique,value}_counts examples (#24927)
• Indent the versionchanged (#24783)
• Relax fsspec wording (#24881)
• Add pl.field into the api docs (#24846)
• Fix duplicated article in SECURITY.md (#24762)
• Document output name determination in when/then/otherwise (#24746)
• Specify that precision=None becomes 38 for Decimal (#24742)
• Mention polars[rt64] and polars[rtcompat] instead of u64-idx and lts-cpu (#24749)
• Fix source mapping (#24736)

📦 Build system

• Ensure build_feature_flags.py is included in artifact (#25024)
• Update pyo3 and numpy crates to version 0.26 (#24760)

🛠️ Other improvements

• Fix benchmark ci (#25019)
• Fix non-deterministic test (#25009)
• Fix makefile arch detection (#25011)
• Make LazyFrame.set_sorted into a FunctionIR::Hint (#24981)
• Remove symbolic links (#24982)
• Deprecate Expr.agg_groups() and pl.groups() (#24919)
• Dispatch to no-op rayon thread-pool from streaming (#24957)
• Unpin pydantic (#24955)
• Ensure safety of scan fast-count IR lowering in streaming (#24953)
• Re-use iterators in set_ operations (#24850)
• Remove GroupByPartitioned and dispatch to streaming engine (#24903)
• Turn element() into {A,}Expr::Element (#24885)
• Pass ScanOptions to new_from_ipc (#24893)
• Update tests to be index type agnostic (#24891)
• Unset Context in Window expression (#24875)
• Fix failing delta test (#24867)
• Move FunctionExpr dispatch from plan to expr (#24839)
• Fix SQL test giving wrong error message (#24835)
• Consolidate dtype paths in ApplyExpr (#24825)
• Add days_in_month to documentation (#24822)
• Enable ruff D417 lint (#24814)
• Turn pl.format into proper elementwise expression (#24811)
• Fix remote benchmark by no-longer saving builds (#24812)
• Refactor ApplyExpr in group_by context on multiple inputs (#24520)
• IR text plan graph generator (#24733)
• Temporarily pin pydantic to fix CI (#24797)
• Extend and rename rolling groups to overlapping (#24577)
• Refactor DataType proptest strategies (#24763)
• Add union to documentation (#24769)

Thank you to all our contributors for making this release possible!
@EndPositive, @EnricoMi, @JakubValtar, @Kevin-Patyk, @MarcoGorelli, @Object905, @alexander-beedie, @borchero, @carnarez, @cmdlineluser, @coastalwhite, @craigalodon, @dsprenkels, @eitsupi, @etrotta, @henryharbeck, @jordanosborn, @kdn36, @math-hiyoko, @mjanssen, @nameexhaustion, @orlp, @pavelzw, @r-brink, @ritchie46, @thomasjpfan and @williambdean

Python Polars 1.35.0-beta.1

🚀 Performance improvements

• Address group_by_dynamic slowness in sparse data (#24916)
• Push filters to PyIceberg (#24910)
• Native filter/drop_nulls/drop_nans in group-by context (#24897)
• Implement cumulative_eval using the group-by engine (#24889)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Implement native null_count, any and all group-by aggregations (#24859)
• Speed up reverse in group-by context (#24855)
• Prune unused categorical values when exporting to arrow/parquet/IPC/pickle (#24829)
• Don't check duplicates on streaming simple projection in release mode (#24830)
• Lower approx_n_unique to the streaming engine (#24821)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Use native reducer for first/last on Decimals, Categoricals and Enums (#24786)
• Implement indexed method for BitMapIter::nth (#24766)
• Pushdown slices on plans within unions (#24735)

✨ Enhancements

• Add environment variable to roundtrip empty struct in Parquet (#24914)
• Fast-count for scan_iceberg().select(len()) (#24602)
• Add glob parameter to scan_ipc (#24898)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Add list.agg and arr.agg (#24790)
• Implement {Expr,Series}.rolling_rank() (#24776)
• Don't require PyArrow for read_database_uri if ADBC engine version supports PyCapsule interface (#24029)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Support MergeSorted in CSPE (#24805)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Recursively apply CSPE (#24798)
• Add streaming engine per-node metrics (#24788)
• Add arr.eval (#24472)
• Drop PyArrow requirement for non-batched usage of read_database with the ADBC engine and support iter_batches with the ADBC engine (#24180)
• Improve rolling_(sum|mean) accuracy (#24743)
• Add separator to {Data,Lazy}Frame.unnest (#24716)
• Add union() function for unordered concatenation (#24298)
• Add name.replace to the set of column rename options (#17942)
• Support np.ndarray -> AnyValue conversion (#24748)
• Allow duration strings with leading "+" (#24737)
• Drop now-unnecessary post-init "schema_overrides" cast on DataFrame load from list of dicts (#24739)
• Add support for UInt128 to pyo3-polars (#24731)

🐞 Bug fixes

• Properly release the GIL for read_parquet_metadata (#24922)
• Broadcast partition_by columns in over expression (#24874)
• Clear index cache on stacked df.filter expressions (#24870)
• Fix 'explode' mapping strategy on scalar value (#24861)
• Fix repeated with_row_index() after scan() silently ignored (#24866)
• Correctly return min and max for enums in groupby aggregation (#24808)
• Refactor BinaryExpr in group_by dispatch logic (#24548)
• Fix aggstate for gather (#24857)
• Keep scalars for length preserving functions in group_by (#24819)
• Have range feature depend on dtype-array feature (#24853)
• Fix duplicate select panic (#24836)
• Inconsistency of list.sum() result type with None values (#24476)
• Division by zero in Expr.dt.truncate (#24832)
• Potential deadlock in __arrow_c_stream__ (#24831)
• Allow double aggregations in group-by contexts (#24823)
• Series.shrink_dtype for i128/u128 (#24833)
• Fix dtype in EvalExpr (#24650)
• Allow aggregations on AggState::LiteralScalar (#24820)
• Dispatch to group_aware for fallible expressions with masked out elements (#24815)
• Fix error for arr.sum() on small integer Array dtypes containing nulls (#24478)
• Fix regression on write_database() to Snowflake due to unsupported string view type (#24622)
• Fix XOR did not follow kleene when one side is unit-length (#24810)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Incorrect precision in Series.str.to_decimal (#24804)
• Use overlapping instead of rolling (#24787)
• Fix iterable on dynamic_group_by and rolling object (#24740)
• Use Kahan summation for in-memory groupby sum/mean (#24774)
• Release GIL in PythonScan predicate evaluation (#24779)
• Type error in bitmask::nth_set_bit_u64 (#24775)
• Add Expr.sign for Decimal datatype (#24717)
• Correct str.replace with missing pattern (#24768)
• Ensure schema_overrides is respected when loading iterable row data (#24721)
• Support decimal_comma on Decimal type in write_csv (#24718)

📖 Documentation

• Add partitioning examples for sink_* methods (#24918)
• Add more {unique,value}_counts examples (#24927)
• Indent the versionchanged (#24783)
• Relax fsspec wording (#24881)
• Add pl.field into the api docs (#24846)
• Fix duplicated article in SECURITY.md (#24762)
• Document output name determination in when/then/otherwise (#24746)
• Specify that precision=None becomes 38 for Decimal (#24742)
• Mention polars[rt64] and polars[rtcompat] instead of u64-idx and lts-cpu (#24749)
• Fix source mapping (#24736)

📦 Build system

• Update pyo3 and numpy crates to version 0.26 (#24760)

🛠️ Other improvements

• Re-use iterators in set_ operations (#24850)
• Remove GroupByPartitioned and dispatch to streaming engine (#24903)
• Turn element() into {A,}Expr::Element (#24885)
• Pass ScanOptions to new_from_ipc (#24893)
• Update tests to be index type agnostic (#24891)
• Unset Context in Window expression (#24875)
• Fix failing delta test (#24867)
• Move FunctionExpr dispatch from plan to expr (#24839)
• Fix SQL test giving wrong error message (#24835)
• Consolidate dtype paths in ApplyExpr (#24825)
• Add days_in_month to documentation (#24822)
• Enable ruff D417 lint (#24814)
• Turn pl.format into proper elementwise expression (#24811)
• Fix remote benchmark by no-longer saving builds (#24812)
• Refactor ApplyExpr in group_by context on multiple inputs (#24520)
• IR text plan graph generator (#24733)
• Temporarily pin pydantic to fix CI (#24797)
• Extend and rename rolling groups to overlapping (#24577)
• Refactor DataType proptest strategies (#24763)
• Add union to documentation (#24769)

Thank you to all our contributors for making this release possible!
@JakubValtar, @Kevin-Patyk, @MarcoGorelli, @Object905, @alexander-beedie, @borchero, @cmdlineluser, @coastalwhite, @craigalodon, @dsprenkels, @eitsupi, @etrotta, @henryharbeck, @jordanosborn, @kdn36, @math-hiyoko, @nameexhaustion, @orlp, @pavelzw, @ritchie46, @thomasjpfan and @williambdean

Python Polars 1.34.0

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Optimize gather_every(n=1) to slice (#24704)
• Lower null count to streaming engine (#24703)
• Native streaming gather_every (#24700)
• Pushdown filter with strptime if input is literal (#24694)
• Avoid copying expanded paths (#24669)
• Relax filter expr ordering (#24662)
• Remove unnecessary groups call in aggregated (#24651)
• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)
• Native streaming .mode() expression (#24459)

✨ Enhancements

• Implement maintain_order for cross join (#24665)
• Add support to output dt.total_{}() duration values as fractionals (#24598)
• Avoid forcing a pyarrow dependency in read_excel when using the default "calamine" engine (#24655)
• Support scanning from file:/path URIs (#24603)
• Log which file the schema was sourced from, and which file caused an extra column error (#24621)
• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)
• Add unstable pl.Config.set_default_credential_provider (#24434)
• Roundtrip BinaryOffset type through Parquet (#24344)
• Add opt-in unstable functionality to load interval types as Struct (#24320)
• Support reading parquet metadata from cloud storage (#24443)
• Add user guide section on AWS role assumption (#24421)
• Support unique / n_unique / arg_unique for array columns (#24406)

🐞 Bug fixes

• Removing dots after noqa comments (#24722)
• Parse Decimal with comma as decimal separator in CSV (#24685)
• Make Categories pickleable (#24691)
• Shift on array within list (#24678)
• Fix handling of AggregatedScalar in ApplyExpr single input (#24634)
• Support reading of mixed compressed/uncompressed IPC buffers (#24674)
• Overflow in slice-slice optimization (#24658)
• Package discovery for setuptools (#24656)
• Add type assertion to prevent out-of-bounds in GenericFirstLastGroupedReduction (#24590)
• Remove inclusion of polars dir in runtime sdist/wheel (#24654)
• Method dt.month_end was unnecessarily raising when the month-start timestamp was ambiguous (#24647)
• Widen from_dicts to Iterable[Mapping[str, Any]] (#24584)
• Fix unsupported arrow type Dictionary error in scan_iceberg() (#24573)
• Raise Exception instead of panic when unnest on non-struct column (#24471)
• Include missing feature dependency from polars-stream/diff to polars-plan/abs (#24613)
• Newline escaping in streaming show_graph (#24612)
• Do not allow inferring (-1) the dimension on any Expr.reshape dimension except the first (#24591)
• Sink batches early stop on in-memory engine (#24585)
• More precisely model expression ordering requirements (#24437)
• Panic in zero-weight rolling mean/var (#24596)
• Decimal <-> literal arithmetic supertype rules (#24594)
• Match various aggregation return types in the streaming engine with the in-memory engine (#24501)
• Validate list type for list expressions in planner (#24589)
• Fix scan_iceberg() storage options not taking effect (#24574)
• Have log() prioritize the leftmost dtype for its output dtype (#24581)
• CSV pl.len() was incorrect (#24587)
• Add support for float inputs for duration types (#24529)
• Roundtrip empty string through hive partitioning (#24546)
• Fix potential OOB writes in unaligned IPC read (#24550)
• Fix regression error when scanning AWS presigned URL (#24530)
• Make PlPath::join for cloud paths replace on absolute paths (#24514)
• Correct dtype for cum_agg in streaming engine (#24510)
• Restore support for np.datetime64() in pl.lit() (#24527)
• Ignore Iceberg list element ID if missing (#24479)
• Fix panic on streaming full join with coalesce (#23409)
• Fix AggState on all_literal in BinaryExpr (#24461)
• Show IR sort options in explain (#24465)
• Benchmark CI import (#24463)
• Fix schema on ApplyExpr with single row literal in agg context (#24422)
• Fix planner schema for dividing pl.Float32 by int (#24432)
• Fix panic scanning from AWS legacy global endpoint URL (#24450)
• Fix iterable_to_pydf(..., infer_schema_length=None) to scan all data (#23405)
• Do not propagate struct of nulls with null (#24420)
• Be stricter with invalid NDJSON input when ignore_errors=False (#24404)
• Implement approx_n_unique for temporal dtypes and Null (#24417)

📖 Documentation

• Add default parquet compression levels (#24686)
• Fix syntax error in data-types-and-structures.md (#24606)
• Rename avg_birthday -> avg_age in examples aggregation (#23726)
• Update Polars Cloud user guide (#24366)
• Fix typo in set_expr_depth_warning docstring (#24427)

📦 Build system

• Python pre-release 1.34.0b5 (#24699)
• Use cargo-run to call dsl-schema script (#24607)

🛠️ Other improvements

• Removing dots after noqa comments (#24722)
• Make test_multiple_sorting_columns test runnable (#24719)
• Remove {Upper,Lower}Bound expressions in IR (#24701)
• Fix Makefile uv pip option syntax (#24711)
• Add egg-info to gitignore (#24712)
• Restructure python project directories again (#24676)
• Use IR for polars-expr output field resolution (#24661)
• Remove dist/ from release python workflow (#24639)
• Escape sed ampersand in release script (#24631)
• Remove PyOdide from release for now (#24630)
• Fix sed in-place in release script (#24628)
• Release script pyodide wheel (#24627)
• Release script pyodide wheel (#24626)
• Update release script for runtimes (#24610)
• Remove unused UnknownKind::Ufunc (#24614)
• Use cargo-run to call dsl-schema script (#24607)
• Cleanup and prepare to_field for element and struct field context (#24592)
• Resolve nightly clippy hints (#24593)
• Rename pl.dependencies to pl._dependencies (#24595)
• More release scripting (#24582)
• Again a minor fix for the setup script (#24580)
• Minor fix in release script (#24579)
• Correct release python beta version check (#24578)
• Python dependency failure (#24576)
• Always install yq (#24570)
• Deterministic import order for Python Polars package variants (#24531)
• Check Arrow FFI pointers with an assert (#24564)
• Add a couple of missing type definitions in python (#24561)
• Fix quickstart example in Polars Cloud user guide (#24554)
• Add implementations for loading min/max statistics for Iceberg (#24496)
• Update versions (#24508)
• Add additional unit tests for pl.concat (#24487)
• Refactor parametric tests for as_struct on aggstates (#24493)
• Use PlanCallback in name.map_* (#24484)
• Pin xlsvwriter to 3.2.5 or before (#24485)
• Add dataclass to hold resolved iceberg scan data (#24418)
• Fix iceberg test failure in CI (#24456)
• Move CompressionUtils to polars-utils (#24430)
• Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@DeflateAwning, @Gusabary, @JakubValtar, @Kevin-Patyk, @MarcoGorelli, @Matt711, @alexander-beedie, @alonsosilvaallende, @andreseje, @borchero, @c-peters, @camriddell, @coastalwhite, @dangotbanned, @deanm0000, @dongchao-1, @dsprenkels, @eitsupi, @itamarst, @jan-krueger, @joshuamarkovic, @juansolm, @kdn36, @moizescbf, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst

Python Polars 1.34.0-beta.5

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Pushdown filter with strptime if input is literal (#24694)
• Avoid copying expanded paths (#24669)
• Relax filter expr ordering (#24662)
• Remove unnecessary groups call in aggregated (#24651)
• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)
• Native streaming .mode() expression (#24459)

✨ Enhancements

• Implement maintain_order for cross join (#24665)
• Add support to output dt.total_{}() duration values as fractionals (#24598)
• Avoid forcing a pyarrow dependency in read_excel when using the default "calamine" engine (#24655)
• Support scanning from file:/path URIs (#24603)
• Log which file the schema was sourced from, and which file caused an extra column error (#24621)
• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)
• Add unstable pl.Config.set_default_credential_provider (#24434)
• Roundtrip BinaryOffset type through Parquet (#24344)
• Add opt-in unstable functionality to load interval types as Struct (#24320)
• Support reading parquet metadata from cloud storage (#24443)
• Add user guide section on AWS role assumption (#24421)
• Support unique / n_unique / arg_unique for array columns (#24406)

🐞 Bug fixes

• Make Categories pickleable (#24691)
• Shift on array within list (#24678)
• Fix handling of AggregatedScalar in ApplyExpr single input (#24634)
• Support reading of mixed compressed/uncompressed IPC buffers (#24674)
• Overflow in slice-slice optimization (#24658)
• Package discovery for setuptools (#24656)
• Add type assertion to prevent out-of-bounds in GenericFirstLastGroupedReduction (#24590)
• Remove inclusion of polars dir in runtime sdist/wheel (#24654)
• Method dt.month_end was unnecessarily raising when the month-start timestamp was ambiguous (#24647)
• Widen from_dicts to Iterable[Mapping[str, Any]] (#24584)
• Fix unsupported arrow type Dictionary error in scan_iceberg() (#24573)
• Raise Exception instead of panic when unnest on non-struct column (#24471)
• Include missing feature dependency from polars-stream/diff to polars-plan/abs (#24613)
• Newline escaping in streaming show_graph (#24612)
• Do not allow inferring (-1) the dimension on any Expr.reshape dimension except the first (#24591)
• Sink batches early stop on in-memory engine (#24585)
• More precisely model expression ordering requirements (#24437)
• Panic in zero-weight rolling mean/var (#24596)
• Decimal <-> literal arithmetic supertype rules (#24594)
• Match various aggregation return types in the streaming engine with the in-memory engine (#24501)
• Validate list type for list expressions in planner (#24589)
• Fix scan_iceberg() storage options not taking effect (#24574)
• Have log() prioritize the leftmost dtype for its output dtype (#24581)
• CSV pl.len() was incorrect (#24587)
• Add support for float inputs for duration types (#24529)
• Roundtrip empty string through hive partitioning (#24546)
• Fix potential OOB writes in unaligned IPC read (#24550)
• Fix regression error when scanning AWS presigned URL (#24530)
• Make PlPath::join for cloud paths replace on absolute paths (#24514)
• Correct dtype for cum_agg in streaming engine (#24510)
• Restore support for np.datetime64() in pl.lit() (#24527)
• Ignore Iceberg list element ID if missing (#24479)
• Fix panic on streaming full join with coalesce (#23409)
• Fix AggState on all_literal in BinaryExpr (#24461)
• Show IR sort options in explain (#24465)
• Benchmark CI import (#24463)
• Fix schema on ApplyExpr with single row literal in agg context (#24422)
• Fix planner schema for dividing pl.Float32 by int (#24432)
• Fix panic scanning from AWS legacy global endpoint URL (#24450)
• Fix iterable_to_pydf(..., infer_schema_length=None) to scan all data (#23405)
• Do not propagate struct of nulls with null (#24420)
• Be stricter with invalid NDJSON input when ignore_errors=False (#24404)
• Implement approx_n_unique for temporal dtypes and Null (#24417)

📖 Documentation

• Add default parquet compression levels (#24686)
• Fix syntax error in data-types-and-structures.md (#24606)
• Rename avg_birthday -> avg_age in examples aggregation (#23726)
• Update Polars Cloud user guide (#24366)
• Fix typo in set_expr_depth_warning docstring (#24427)

📦 Build system

• Python pre-release 1.34.0b5 (#24699)
• Use cargo-run to call dsl-schema script (#24607)

🛠️ Other improvements

• Restructure python project directories again (#24676)
• Use IR for polars-expr output field resolution (#24661)
• Remove dist/ from release python workflow (#24639)
• Escape sed ampersand in release script (#24631)
• Remove PyOdide from release for now (#24630)
• Fix sed in-place in release script (#24628)
• Release script pyodide wheel (#24627)
• Release script pyodide wheel (#24626)
• Update release script for runtimes (#24610)
• Remove unused UnknownKind::Ufunc (#24614)
• Use cargo-run to call dsl-schema script (#24607)
• Cleanup and prepare to_field for element and struct field context (#24592)
• Resolve nightly clippy hints (#24593)
• Rename pl.dependencies to pl._dependencies (#24595)
• More release scripting (#24582)
• Again a minor fix for the setup script (#24580)
• Minor fix in release script (#24579)
• Correct release python beta version check (#24578)
• Python dependency failure (#24576)
• Always install yq (#24570)
• Deterministic import order for Python Polars package variants (#24531)
• Check Arrow FFI pointers with an assert (#24564)
• Add a couple of missing type definitions in python (#24561)
• Fix quickstart example in Polars Cloud user guide (#24554)
• Add implementations for loading min/max statistics for Iceberg (#24496)
• Update versions (#24508)
• Add additional unit tests for pl.concat (#24487)
• Refactor parametric tests for as_struct on aggstates (#24493)
• Use PlanCallback in name.map_* (#24484)
• Pin xlsvwriter to 3.2.5 or before (#24485)
• Add dataclass to hold resolved iceberg scan data (#24418)
• Fix iceberg test failure in CI (#24456)
• Move CompressionUtils to polars-utils (#24430)
• Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@DeflateAwning, @Gusabary, @JakubValtar, @Kevin-Patyk, @MarcoGorelli, @Matt711, @alexander-beedie, @alonsosilvaallende, @borchero, @c-peters, @camriddell, @coastalwhite, @dangotbanned, @deanm0000, @dongchao-1, @dsprenkels, @eitsupi, @itamarst, @jan-krueger, @joshuamarkovic, @juansolm, @kdn36, @moizescbf, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst

Python Polars 1.34.0-beta.4

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)
• Native streaming .mode() expression (#24459)

✨ Enhancements

• Support scanning from file:/path URIs (#24603)
• Log which file the schema was sourced from, and which file caused an extra column error (#24621)
• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)
• Add unstable pl.Config.set_default_credential_provider (#24434)
• Roundtrip BinaryOffset type through Parquet (#24344)
• Add opt-in unstable functionality to load interval types as Struct (#24320)
• Support reading parquet metadata from cloud storage (#24443)
• Add user guide section on AWS role assumption (#24421)
• Support unique / n_unique / arg_unique for array columns (#24406)

🐞 Bug fixes

• Widen from_dicts to Iterable[Mapping[str, Any]] (#24584)
• Fix unsupported arrow type Dictionary error in scan_iceberg() (#24573)
• Raise Exception instead of panic when unnest on non-struct column (#24471)
• Include missing feature dependency from polars-stream/diff to polars-plan/abs (#24613)
• Newline escaping in streaming show_graph (#24612)
• Do not allow inferring (-1) the dimension on any Expr.reshape dimension except the first (#24591)
• Sink batches early stop on in-memory engine (#24585)
• More precisely model expression ordering requirements (#24437)
• Panic in zero-weight rolling mean/var (#24596)
• Decimal <-> literal arithmetic supertype rules (#24594)
• Match various aggregation return types in the streaming engine with the in-memory engine (#24501)
• Validate list type for list expressions in planner (#24589)
• Fix scan_iceberg() storage options not taking effect (#24574)
• Have log() prioritize the leftmost dtype for its output dtype (#24581)
• CSV pl.len() was incorrect (#24587)
• Add support for float inputs for duration types (#24529)
• Roundtrip empty string through hive partitioning (#24546)
• Fix potential OOB writes in unaligned IPC read (#24550)
• Fix regression error when scanning AWS presigned URL (#24530)
• Make PlPath::join for cloud paths replace on absolute paths (#24514)
• Correct dtype for cum_agg in streaming engine (#24510)
• Restore support for np.datetime64() in pl.lit() (#24527)
• Ignore Iceberg list element ID if missing (#24479)
• Fix panic on streaming full join with coalesce (#23409)
• Fix AggState on all_literal in BinaryExpr (#24461)
• Show IR sort options in explain (#24465)
• Benchmark CI import (#24463)
• Fix schema on ApplyExpr with single row literal in agg context (#24422)
• Fix planner schema for dividing pl.Float32 by int (#24432)
• Fix panic scanning from AWS legacy global endpoint URL (#24450)
• Fix iterable_to_pydf(..., infer_schema_length=None) to scan all data (#23405)
• Do not propagate struct of nulls with null (#24420)
• Be stricter with invalid NDJSON input when ignore_errors=False (#24404)
• Implement approx_n_unique for temporal dtypes and Null (#24417)

📖 Documentation

• Fix syntax error in data-types-and-structures.md (#24606)
• Rename avg_birthday -> avg_age in examples aggregation (#23726)
• Update Polars Cloud user guide (#24366)
• Fix typo in set_expr_depth_warning docstring (#24427)

📦 Build system

• Use cargo-run to call dsl-schema script (#24607)

🛠️ Other improvements

• Remove dist/ from release python workflow (#24639)
• Escape sed ampersand in release script (#24631)
• Remove PyOdide from release for now (#24630)
• Fix sed in-place in release script (#24628)
• Release script pyodide wheel (#24627)
• Release script pyodide wheel (#24626)
• Update release script for runtimes (#24610)
• Remove unused UnknownKind::Ufunc (#24614)
• Use cargo-run to call dsl-schema script (#24607)
• Cleanup and prepare to_field for element and struct field context (#24592)
• Resolve nightly clippy hints (#24593)
• Rename pl.dependencies to pl._dependencies (#24595)
• More release scripting (#24582)
• Again a minor fix for the setup script (#24580)
• Minor fix in release script (#24579)
• Correct release python beta version check (#24578)
• Python dependency failure (#24576)
• Always install yq (#24570)
• Deterministic import order for Python Polars package variants (#24531)
• Check Arrow FFI pointers with an assert (#24564)
• Add a couple of missing type definitions in python (#24561)
• Fix quickstart example in Polars Cloud user guide (#24554)
• Add implementations for loading min/max statistics for Iceberg (#24496)
• Update versions (#24508)
• Add additional unit tests for pl.concat (#24487)
• Refactor parametric tests for as_struct on aggstates (#24493)
• Use PlanCallback in name.map_* (#24484)
• Pin xlsvwriter to 3.2.5 or before (#24485)
• Add dataclass to hold resolved iceberg scan data (#24418)
• Fix iceberg test failure in CI (#24456)
• Move CompressionUtils to polars-utils (#24430)
• Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@Gusabary, @Kevin-Patyk, @Matt711, @moizescbf, @alonsosilvaallende, @borchero, @c-peters, @camriddell, @coastalwhite, @dangotbanned, @deanm0000, @dongchao-1, @dsprenkels, @itamarst, @jan-krueger, @joshuamarkovic, @juansolm, @kdn36, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst

Python Polars 1.34.0-beta.3

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)
• Native streaming .mode() expression (#24459)

✨ Enhancements

• Support scanning from file:/path URIs (#24603)
• Log which file the schema was sourced from, and which file caused an extra column error (#24621)
• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)
• Add unstable pl.Config.set_default_credential_provider (#24434)
• Roundtrip BinaryOffset type through Parquet (#24344)
• Add opt-in unstable functionality to load interval types as Struct (#24320)
• Support reading parquet metadata from cloud storage (#24443)
• Add user guide section on AWS role assumption (#24421)
• Support unique / n_unique / arg_unique for array columns (#24406)

🐞 Bug fixes

• Widen from_dicts to Iterable[Mapping[str, Any]] (#24584)
• Fix unsupported arrow type Dictionary error in scan_iceberg() (#24573)
• Raise Exception instead of panic when unnest on non-struct column (#24471)
• Include missing feature dependency from polars-stream/diff to polars-plan/abs (#24613)
• Newline escaping in streaming show_graph (#24612)
• Do not allow inferring (-1) the dimension on any Expr.reshape dimension except the first (#24591)
• Sink batches early stop on in-memory engine (#24585)
• More precisely model expression ordering requirements (#24437)
• Panic in zero-weight rolling mean/var (#24596)
• Decimal <-> literal arithmetic supertype rules (#24594)
• Match various aggregation return types in the streaming engine with the in-memory engine (#24501)
• Validate list type for list expressions in planner (#24589)
• Fix scan_iceberg() storage options not taking effect (#24574)
• Have log() prioritize the leftmost dtype for its output dtype (#24581)
• CSV pl.len() was incorrect (#24587)
• Add support for float inputs for duration types (#24529)
• Roundtrip empty string through hive partitioning (#24546)
• Fix potential OOB writes in unaligned IPC read (#24550)
• Fix regression error when scanning AWS presigned URL (#24530)
• Make PlPath::join for cloud paths replace on absolute paths (#24514)
• Correct dtype for cum_agg in streaming engine (#24510)
• Restore support for np.datetime64() in pl.lit() (#24527)
• Ignore Iceberg list element ID if missing (#24479)
• Fix panic on streaming full join with coalesce (#23409)
• Fix AggState on all_literal in BinaryExpr (#24461)
• Show IR sort options in explain (#24465)
• Benchmark CI import (#24463)
• Fix schema on ApplyExpr with single row literal in agg context (#24422)
• Fix planner schema for dividing pl.Float32 by int (#24432)
• Fix panic scanning from AWS legacy global endpoint URL (#24450)
• Fix iterable_to_pydf(..., infer_schema_length=None) to scan all data (#23405)
• Do not propagate struct of nulls with null (#24420)
• Be stricter with invalid NDJSON input when ignore_errors=False (#24404)
• Implement approx_n_unique for temporal dtypes and Null (#24417)

📖 Documentation

• Fix syntax error in data-types-and-structures.md (#24606)
• Rename avg_birthday -> avg_age in examples aggregation (#23726)
• Update Polars Cloud user guide (#24366)
• Fix typo in set_expr_depth_warning docstring (#24427)

📦 Build system

• Use cargo-run to call dsl-schema script (#24607)

🛠️ Other improvements

• Remove dist/ from release python workflow (#24639)
• Escape sed ampersand in release script (#24631)
• Remove PyOdide from release for now (#24630)
• Fix sed in-place in release script (#24628)
• Release script pyodide wheel (#24627)
• Release script pyodide wheel (#24626)
• Update release script for runtimes (#24610)
• Remove unused UnknownKind::Ufunc (#24614)
• Use cargo-run to call dsl-schema script (#24607)
• Cleanup and prepare to_field for element and struct field context (#24592)
• Resolve nightly clippy hints (#24593)
• Rename pl.dependencies to pl._dependencies (#24595)
• More release scripting (#24582)
• Again a minor fix for the setup script (#24580)
• Minor fix in release script (#24579)
• Correct release python beta version check (#24578)
• Python dependency failure (#24576)
• Always install yq (#24570)
• Deterministic import order for Python Polars package variants (#24531)
• Check Arrow FFI pointers with an assert (#24564)
• Add a couple of missing type definitions in python (#24561)
• Fix quickstart example in Polars Cloud user guide (#24554)
• Add implementations for loading min/max statistics for Iceberg (#24496)
• Update versions (#24508)
• Add additional unit tests for pl.concat (#24487)
• Refactor parametric tests for as_struct on aggstates (#24493)
• Use PlanCallback in name.map_* (#24484)
• Pin xlsvwriter to 3.2.5 or before (#24485)
• Add dataclass to hold resolved iceberg scan data (#24418)
• Fix iceberg test failure in CI (#24456)
• Move CompressionUtils to polars-utils (#24430)
• Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@Gusabary, @Kevin-Patyk, @Matt711, @moizescbf, @alonsosilvaallende, @borchero, @c-peters, @camriddell, @coastalwhite, @dangotbanned, @deanm0000, @dongchao-1, @dsprenkels, @itamarst, @jan-krueger, @joshuamarkovic, @juansolm, @kdn36, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst