Python Polars 0.20.16-rc.1

🚀 Performance improvements

• Use sorted flag for (first|last)_non_null (#15050)
• OOC sort improvements (#14994)

✨ Enhancements

• let "ambiguous" take "null" value (#14961)
• Raise informative error message when join would introduce duplicate column name (#15042)
• Allow cast of decimal to boolean (#15015)
• Add strict parameter to DataFrame constructor to allow non-strict construction (#15034)
• Support Array statistics in parquet (#15031)
• Support decimal groupby (#15000)
• Add thread names to rayon thread pool (#15024)
• Support decimal uniq (#15001)
• expose timings in verbose state of OOC sort (#14979)

🐞 Bug fixes

• Prevent "index out of range for slice" error in parquet reader (#15021)
• Respect nulls_last in streaming sort (#15061)
• Fix Series construction from nested list with mixed data types (#15046)
• Don't count nulls in streaming count agg (#15051)
• agg_list on decimal lost scale (#15054)
• Block predicate pushdown on equality that are use in join (#15055)
• Enum equality based on categories (#15053)
• Don't panic in string_addition_to_linear_concat (#15006)
• CSV do utf8-validation after escaping fields (#15004)
• Use primitive constructors to create a Series of lists when dtype is provided (#15002)
• replace_time_zone with single-null-element "ambiguous" was panicking (#14971)

📖 Documentation

• Improve API reference landing page (#14888)
• improve join_asof example (#14993)
• Fix inadvertent swap of new and old parameters in replace description (#15019)

🛠️ Other improvements

• Add parameterized-scan-tests (#15057)
• Simplify streaming execution (#15039)
• Ensure we hit the spilled source path in ooc sort test (#15010)
• Refactor constructor code (#15009)
• fix features (#14977)
• Revert pinning PyPI publish action (#14975)

Thank you to all our contributors for making this release possible!
@MKisilyov, @MarcoGorelli, @alexander-beedie, @c-peters, @flisky, @jqnatividad, @mcrumiller, @mickvangelderen, @nameexhaustion, @petrosbar, @ritchie46, @stinodego and @trueb2

Rust Polars 0.38.2

🏆 Highlights

• Streaming outer joins (#14828)

🚀 Performance improvements

• Ensure parallel encoding/compression in sink_parquet (#14964)
• hoist errors out of iterators in parquet (#14945)
• add basic AVX-512 filters (#14892)
• improve join-asof materialization (#14884)
• Optimize chunked-id gather for binaryviews (#14878)
• rework scalar filter kernels (#14865)
• Reduce size of optional join-indexes (#14856)
• Streaming outer joins (#14828)
• Set sorted flag for cum_count on columns (#14849)

✨ Enhancements

• Support writing Array type in parquet (#14943)
• Sort decimal fields (#14649)
• Import NamedFrom in df! macro (#14860)
• try-improve concurrency tuner (#14827)
• Streaming outer joins (#14828)
• Set sorted flag for cum_count on columns (#14849)
• Ensure binview types are rle-encoded in parquet write (#14818)
• Implement strict/nonstrict conversion for primitive AnyValues (#14186)
• Disable timeouts (#14809)
• cleanup spill disks in process (#14807)

🐞 Bug fixes

• Fix invalid partitionable query (#14966)
• allow nonstrict cast of categorical/enum to enum (#14910)
• count_rows multi-threaded under-counting in parser.rs (#14963)
• raise proper error instead of panicking when result of truncation is non-existent datetime (#14958)
• ooc-sort issues (#14959)
• Do not raise when constructing from a list of Series with Nones (#14942)
• Don't access out-of-bounds for null indices in bitmap gather (#14932)
• std when ddof>=n_values returns None even in rolling context (#11750)
• Don't rechunk categoricals when moving to physical (#14934)
• parquet rle boolean decoder (#14931)
• boolean filter gave overly large buffers to Bitmap::from_u8_vec (#14924)
• Fix sliced dictionary state in parquet (#14917)
• Fix possibly incorrect order of columns when using ipc stream with_columns (#14859)
• Fully qualify polars_bail! in polars_ensure! (#14901)
• Fix DataFrame.min/max for decimals (#14890)
• Assert chunks are equal after physical cast to prevent OOB (#14873)
• not all cpu feature flag tests were mocked (#14864)

📖 Documentation

• Remove some repetition in comments/docstrings (#14912)
• Update contributing link (#14882)
• Fix some word-repetition in code comments (#14825)
• Seperate asof from join strategy, change parameter from strategy to how in user guide (#14793)

🛠️ Other improvements

• fix features (#14977)
• fix chrono deprecation warnings (#14928)
• Update Cargo.lock and remove cmake limit workaround (#14905)
• Simplify streaming placeholder replacement. (#14915)
• Optional deps should include fastexcel (#14907)
• Deduplicate POLARS_FORCE_ASYNC env var parsing (#14909)
• Make assumption about column name to index conversion having occurred explicit (#14894)
• Make assumption about wildcards having been resolved explicit (#14899)
• reactivate argminmax simd (#14679)
• sort by 'idx' after outer join (#14867)
• Simplify computation of with_columns attribute in physical csv scanner of default engine. (#14837)
• centrally define IdxSize (#14854)
• run and fix pext64_polyfill test (#14852)
• introduce partitioned table (#14819)
• add missing deprecation directive in groupby.count (#14817)
• Extract key value construction (#14812)
• Fix Makefile build commands (#14806)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @Sol-Hee, @alexander-beedie, @ambidextrous, @battmdpkq, @deanm0000, @dependabot, @dependabot[bot], @eitsupi, @flisky, @geekvest, @mcrumiller, @mickvangelderen, @nameexhaustion, @orlp, @petrosbar, @ritchie46 and @stinodego

Python Polars 0.20.15

🚀 Performance improvements

• Ensure parallel encoding/compression in sink_parquet (#14964)
• hoist errors out of iterators in parquet (#14945)
• add basic AVX-512 filters (#14892)

✨ Enhancements

• Support writing Array type in parquet (#14943)
• Add drop_first parameter to Series.to_dummies (#14846)
• Add "execute_options" support for read_database_uri (#14682)

🐞 Bug fixes

• Fix invalid paritionable query (#14966)
• allow nonstrict cast of categorical/enum to enum (#14910)
• count_rows multi-threaded under-counting in parser.rs (#14963)
• raise proper error instead of panicking when result of truncation is non-existent datetime (#14958)
• ooc-sort issues (#14959)
• Do not raise when constructing from a list of Series with Nones (#14942)
• Don't access out-of-bounds for null indices in bitmap gather (#14932)
• std when ddof>=n_values returns None even in rolling context (#11750)
• Don't rechunk categoricals when moving to physical (#14934)
• Ensure consistent read_database behaviour with empty ODBC "iter_batches" (#14918)
• parquet rle boolean decoder (#14931)
• Fix frame init from single RecordBatch objects when pyarrow <= 12 (#14922)
• boolean filter gave overly large buffers to Bitmap::from_u8_vec (#14924)
• Fix sliced dictionary state in parquet (#14917)
• read_database now properly handles empty result sets from arrow-odbc (#14916)
• Fix possibly incorrect order of columns when using ipc stream with_columns (#14859)

📖 Documentation

• Add note about include_index in from_pandas regarding "default indices" (#14920)
• Remove some repetition in comments/docstrings (#14912)

🛠️ Other improvements

• Update Cargo.lock and remove cmake limit workaround (#14905)
• Simplify streaming placeholder replacement. (#14915)
• Optional deps should include fastexcel (#14907)
• Deduplicate POLARS_FORCE_ASYNC env var parsing (#14909)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @alexander-beedie, @ambidextrous, @battmdpkq, @mcrumiller, @mickvangelderen, @orlp, @petrosbar and @ritchie46

Python Polars 0.20.14

🏆 Highlights

• Streaming outer joins (#14828)

⚠️ Deprecations

• Deprecate overwrite_schema parameter for DataFrame.write_delta (#14879)

🚀 Performance improvements

• improve join-asof materialization (#14884)
• Optimize chunked-id gather for binaryviews (#14878)
• rework scalar filter kernels (#14865)
• Reduce size of optional join-indexes (#14856)
• Streaming outer joins (#14828)
• Set sorted flag for cum_count on columns (#14849)

✨ Enhancements

• Sort decimal fields (#14649)
• Revert addition of __slots__ to Polars classes (#14857)
• Add fastexcel to show_versions (#14869)
• try-improve concurrency tuner (#14827)
• Streaming outer joins (#14828)
• Set sorted flag for cum_count on columns (#14849)
• support use of KùzuDB via pl.read_database (#14822)
• Ensure binview types are rle-encoded in parquet write (#14818)
• Disable timeouts (#14809)
• cleanup spill disks in process (#14807)
• Implement compression and skipping for binview IPC (#14789)

🐞 Bug fixes

• Fix DataFrame.min/max for decimals (#14890)
• Assert chunks are equal after physical cast to prevent OOB (#14873)
• not all cpu feature flag tests were mocked (#14864)
• Remove custom __reduce__ implementation on DataType object (#14778)
• Allow non-strict construction / initialization of Enum columns (#14728)
• Fix streaming parquet limit (#14783)

📖 Documentation

• Update contributing link (#14882)
• update to use ambiguous instead of use_earliest (#14820)
• Seperate asof from join strategy, change parameter from strategy to how in user guide (#14793)

🛠️ Other improvements

• Pin PyPI publish action to commit (#14896)
• reactivate argminmax simd (#14679)
• sort by 'idx' after outer join (#14867)
• run and fix pext64_polyfill test (#14852)
• add missing deprecation directive in groupby.count (#14817)
• Fix Makefile build commands (#14806)
• Bump ruff from 0.2.0 to 0.3.0 in /py-polars (#14800)
• Rename utils module to _utils to explicitly mark it as private (#14772)
• Add test coverage for _cpu_check module (#14768)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @Sol-Hee, @alexander-beedie, @c-peters, @deanm0000, @dependabot, @dependabot[bot], @eitsupi, @flisky, @geekvest, @mcrumiller, @mickvangelderen, @nameexhaustion, @orlp, @petrosbar, @ritchie46 and @stinodego

Rust Polars 0.38.1

🚀 Performance improvements

• Elide utf8/binary cast in Parquet reading (#14757)

✨ Enhancements

• Implement compression and skipping for binview IPC (#14789)

🐞 Bug fixes

• fix feature flags (#14802)
• Allow non-strict construction / initialization of Enum columns (#14728)
• Fix streaming parquet limit (#14783)

📦 Build system

• bump rayon from 1.8.1 to 1.9.0 (#14797)

Thank you to all our contributors for making this release possible!
@alexander-beedie, @c-peters, @dependabot, @dependabot[bot], @ritchie46 and @stinodego

Rust Polars 0.38.0

🏆 Highlights

• fast path for COUNT(*) queries (#14574)
• Implemented tree formatting for LogicalPlan (#14221)

💥 Breaking changes

• Infer values columns in DataFrame.pivot when values is None (#14477)
• Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)
• Remove DatetimeChunked::convert_time_zone (#14046)
• Rename LiteralValue::to_anyvalue to LiteralValue::to_any_value (#14033)

🚀 Performance improvements

• auto-tune concurrency budget (#14753)
• Don't materialize for broadcasting fill_null value and default value of replace (#14736)
• Improve performance of boolean filters 1-100x. (#14746)
• fix accidental quadratic utf8 validation in parquet (#14705)
• fast path for COUNT(*) queries (#14574)
• Elide the total order wrapper for non-(float/option) types (#14648)
• add utf8-validation fast paths for utf8view (#14644)
• don't reassign chunks back to df owner (#14633)
• If there are many small chunks in write_parquet(), convert to a single chunk (#14484) (#14487)
• Polars thread pool was not used properly in various functions (#14583)
• use owned arithmetic in horizontal_sum (#14525)
• Combine small chunks in sinks for streaming pipelines (#14346)
• reduce heap allocs in expression/logical-plan iteration (#14440)
• simplify and speed up cum_sum and cum_prod (#14409)
• simplify negated predicates to improve row groups skipping (#14370)
• prune parquet row groups when is_not_null is used (#14260)
• use is_between to skip parquet row groups (#14244)
• Use a compression API that is designed for this use case (#11699) (#14194)
• Use UnitVec in polars-plan traversal (#14199)
• use UnitVec in streaming joins (#14197)
• improve ChunkId (#14175)
• improve iteration performance (#14126)
• elide unneeded work in window? (#14108)
• run window functions more in parallel (#14095)
• improve skip row group using statistics condition (#14056)

✨ Enhancements

• Change default for maximum number of Series items printed to 10 to match DataFrame (#14703)
• Infer values columns in DataFrame.pivot when values is None (#14477)
• fast path for COUNT(*) queries (#14574)
• let rolling accept index_column of type UInt32 or UInt64 (#14669)
• Treat float -0.0 == 0.0 and -NaN == NaN in group-by, joins and unique (#14617)
• Properly cache object-stores (#14598)
• Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)
• flatten aliases (#14512)
• Make formatting more consistent in DOT graphs (#14486)
• add flush operator to streaming operators (#14500)
• Increase verbosity of duplicate column error message (#11899)
• change print to warn in reading csv from python file like object (#14469)
• Raise if pivot would introduce duplicate column names (#14431)
• apply negate in simplify expression pass (#14436)
• restrict more cloud interop to semaphore budget (#14435)
• Implement min/max for categorical dtype (#14112)
• add boolean rle decoding for parquet (#14403)
• Allow brackets in SQL join conditions (#14263)
• Improve panic message for missing struct feature in DataType::from_arrow (#14392)
• Implement the IntoLazy trait for LazyFrame (#14323)
• Implemented tree formatting for LogicalPlan (#14221)
• Implement mean_horizontal expression (#14369)
• support decimal comparison (#14338)
• Implements arr.shift (#14298)
• Implements list.n_unique (#14306)
• Do not panic when casting from an empty Series to pl.Decimal (#14330)
• add u8/i8/u16/i16 parsers to CSV reader (#14241)
• Implements list.gather_every (#14253)
• Implements prefix/suffix_fields (#14251)
• Polish decimal arithmetic (#14172)
• Introduce arr.to_struct (#14202)
• Supports map fields name of struct (#14203)
• make IdxVec generic as UnitVec (#14196)
• add new arithmetic kernels (#14026)
• Supports unique and hash_rows for null column (#14111)
• Implement arithmetic operations for Null columns (#14107)
• Add strict/non-strict construction of Boolean/Binary series (#14073)
• Improve Series::from_any_values logic (#14052)
• Adapt extend_constant to function expr architecture and expressify it (#14058)
• add integer negation (#14049)
• list & array measures of dispersion (#13245)
• gc binview when writing ipc (#14035)
• When calling convert_time_zone on time-zone-naive datetime, convert as if converting from UTC (#13960)

🐞 Bug fixes

• fix hashing specialization (#14754)
• Sum after filter in aggregation context sometimes returned NULL (#14752)
• Allow list.contains() for list of categoricals (#14744)
• Fix bug where alias was ignored in COUNT(*) optimization (#14738)
• Fix DataFrame.sum for decimals (#14732)
• Fix parallel strategy for LazyFrame not being applied (#14696)
• Block slice pushdown past non-literal projections or when the projection doesn't contain any columns from the input (#14684)
• Fix number of rows printed in DataFrame/Series repr (edge cases) (#14548)
• Fix contention panics in file gc threads (#14690)
• Fix feature combination (#14688)
• Only push predicates depending on the subset columns past unique() (#14668)
• Reading RLE_DICTIONARY-encoded parquet incorrectly coalesced NULL to empty string in some cases (#14670)
• use correct flooring division/modulo operator in literal optimizer and const_lhs <> series ops (#14671)
• Enable is_in for string in categorical/enum (#14576)
• Polars thread pool was not used properly in various functions (#14583)
• Semi-join and multiple keys outer-join did not respect POLARS_MAX_THREADS (#14571)
• Correct sorted flag of chunked gather (#14570)
• ensure the streaming dispatcher can replace placeholders in unions (#14537)
• Ensure series are contiguous prior to transpose (#14527)
• write csv header if necessary when finishing sinks (#14518)
• fix logical dtypes in take_chunked (#14517)
• fix binary-offset row-encode (#14514)
• race conditions in OOC writing (#14510)
• don't gc after variadic buffers are written (#14473)
• Increase verbosity of duplicate column error message (#11899)
• Return appropriate data type for duration mean and median (#14376)
• change print to warn in reading csv from python file like object (#14469)
• regression in out-of-core group-by by new string-type (#14464)
• DataFrame.pivot was returning incorrect results when multiple columns were passed to index and one of them was Struct (#14438)
• remove literal Series from projection state (#14437)
• pivot was producing incorrect results when (single) index was Struct (#14308)
• Error on some invalid clip inputs (#14416)
• Series.hist panicking on empty/all-null (#14407)
• rechunk series when apply_lambda (#14406)
• don't make column from filenames, don't ignore directories with (.) (#14317)
• Remove duplicated content in error messages (#8107)
• Fix set_operation if the input is sliced and be broadcast (#14303)
• Wrap par_iter in list.to_struct by POOL.install (#14304)
• Do not panic when casting from an empty Series to pl.Decimal (#14330)
• Preserve name when casting to Enum (#14320)
• list.get does not work on list of decimals (#14276)
• relax precision when up scaling (#14270)
• Allow format object series with registry (#14272)
• deduplicate recursive growables (#14264)
• Fix glimpse overload signature (#14258)
• allow set operations on list of categoricals (#14110)
• any/all_horizontal with single input has incorrect type (#14256)
• load numpy array with np array values #14237 (#14238)
• Fix join validation for String types (#14229)
• make csv parser more robust to edge cases (#14210)
• Fix for set_operations of binary dtype (#14152)
• fix read_csv date/datetime inference and parsing (#14113)
• don't see files as hive partitions (#14128)
• allow eval on list of categoricals (#14132)
• add missing conditional compile flag for StringFunction::Find (#14129)
• Forbid casting from Date to Time and vice versa (#14127)
• preserve old naming convention for multi-value pivot (this will change in 1.0 to no longer redundantly have the column name in the middle) (#14120)
• Implements gt/lt cmp for null dtype (#14119)
• ignore comments at beginning of csv if schema provided (#14115)
• fix pivot when multiple columns are passed. Output is now aligned with what tidyverse / pandas.pivot_table would do (#14048)
• some temporal conversion errors for datetimes earlier than 1970-01-01 (#14050)
• Preserve name when casting from categorical (#14085)
• fix cse bug when window function is nested (#14070)
• Fix melt panic when there are no value vars (#14057)
• json_encode should respect the logical type (#14063)
• improve skip row group using statistics condition (#14056)
• Raise for .dt.epoch and .dt.timestamp for Duration dtype (#13962)
• handle SliceSink with empty data (#14025)
• correct field type schema inference (using read_csv) (#14042)
• Map AnyValue::Null to datatype Null (#14045)
• Use int formatter for unsigned ints (#14043)
• quick fix for multiple chunks binary reverse (#14024)
• count matches on list categorical (#14021)
• list.min/max with empty and/or None elements (#14018)

📖 Documentation

• Link to plugins tutorial more prominently (#14727)
• Separate "writing a plugin" from "registering an expression" in user guide, add some extra links, don't use deprecated _register_plugin (#14621)
• Remove some outdated information in polars crate docs (#14608)
• Fix code block path for group by example in getting started guide (#14612)
• Add missing 'string' column in reading-writing Rust example to match Python example (#14597)
• Fix typo of "Cartesian" product (#14585)
• Mention in contributing guide that PR titles should start with an uppercase letter (#14584)
• Fix markdown newline for rendering function description in VSCode (#14567)
• Clar...

Python Polars 0.20.13

🚀 Performance improvements

• Elide utf8/binary cast in Parquet reading (#14757)

🐞 Bug fixes

• Add missing "pclmulqdq" instruction to _cpu_check ("read_cpu_flags") (#14758)

🛠️ Other improvements

• Test release wheels on x86-64 (#14761)

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

Python Polars 0.20.12

Warning

This release was deleted from PyPI. Please use the 0.20.13 release instead.

🚀 Performance improvements

• auto-tune concurrency budget (#14753)
• Don't materialize for broadcasting fill_null value and default value of replace (#14736)
• Improve performance of boolean filters 1-100x. (#14746)

🐞 Bug fixes

• fix hashing specialization (#14754)
• Sum after filter in aggregation context sometimes returned NULL (#14752)
• Allow list.contains() for list of categoricals (#14744)
• Fix bug where alias was ignored in COUNT(*) optimization (#14738)
• Fix DataFrame.sum for decimals (#14732)

📖 Documentation

• Link to plugins tutorial more prominently (#14727)

📦 Build system

• update ahash (#14731)

🛠️ Other improvements

• update ahash (#14731)
• Use datetime_to_int util for AnyValue conversion (#14743)
• Refactor utils/convert.py module (#14739)

Thank you to all our contributors for making this release possible!
@MarcoGorelli, @c-peters, @nameexhaustion, @orlp, @petrosbar, @ritchie46 and @stinodego

Python Polars 0.20.11

Warning

This release was deleted from PyPI. Please use the 0.20.13 release instead.

🏆 Highlights

• fast path for COUNT(*) queries (#14574)

⚠️ Deprecations

• Deprecate passing time_unit=None to Datetime constructor (#14708)
• Rename Expr.meta.write_json/Expr.from_json to Expr.meta.serialize/Expr.deserialize (#14490)
• Deprecate default value for ignore_nulls for ewm methods (#14663)
• Deprecate DataFrame/LazyFrame.approx_n_unique (#14594)

🚀 Performance improvements

• 2-3x speedup in creating literals/Series of type Date (#14716)
• fix accidental quadratic utf8 validation in parquet (#14705)
• Add __slots__ to most Polars classes (#13236)
• fast path for COUNT(*) queries (#14574)
• Elide the total order wrapper for non-(float/option) types (#14648)
• add utf8-validation fast paths for utf8view (#14644)
• don't reassign chunks back to df owner (#14633)
• If there are many small chunks in write_parquet(), convert to a single chunk (#14484) (#14487)
• Polars thread pool was not used properly in various functions (#14583)

✨ Enhancements

• Change default for maximum number of Series items printed to 10 to match DataFrame (#14703)
• Change default number of rows printed in Notebooks for DataFrame/Series to 10 (#14536)
• Infer values columns in DataFrame.pivot when values is None (#14477)
• fast path for COUNT(*) queries (#14574)
• let rolling accept index_column of type UInt32 or UInt64 (#14669)
• Treat float -0.0 == 0.0 and -NaN == NaN in group-by, joins and unique (#14617)
• Improve consistency of dtype inference from Python types (#14600)
• Properly cache object-stores (#14598)

🐞 Bug fixes

• Fix parallel strategy for LazyFrame not being applied (#14696)
• Block slice pushdown past non-literal projections or when the projection doesn't contain any columns from the input (#14684)
• Fix number of rows printed in DataFrame/Series repr (edge cases) (#14548)
• Fix contention panics in file gc threads (#14690)
• Fix feature combination (#14688)
• Only push predicates depending on the subset columns past unique() (#14668)
• Properly handle a single empty RecordBatch in from_arrow (#14683)
• More accurate type hints for binary file-like inputs (#14674)
• Reading RLE_DICTIONARY-encoded parquet incorrectly coalesced NULL to empty string in some cases (#14670)
• use correct flooring division/modulo operator in literal optimizer and const_lhs <> series ops (#14671)
• Enable is_in for string in categorical/enum (#14576)
• Fixes a read_database issue loading specific datetime types from SQL Server backends (#14627)
• Polars thread pool was not used properly in various functions (#14583)

📖 Documentation

• Improve some DataType docstrings (#14719)
• Fix bad link due to boldness in pl.count (#14691)
• Improve docstrings for ewm_* and rolling_* methods (#14667)
• Improve examples for Series.binary.encode and Series.binary.decode. (#14579)
• Add examples for Series.kurtosis (#14681)
• Fix docstring for LazyGroupBy.len (#14661)
• Separate "writing a plugin" from "registering an expression" in user guide, add some extra links, don't use deprecated _register_plugin (#14621)
• Fix code block path for group by example in getting started guide (#14612)
• Add missing 'string' column in reading-writing Rust example to match Python example (#14597)

📦 Build system

• Limit CMake threads to fix crash compiling libz-ng-sys on macOS (#14715)

🛠️ Other improvements

• Limit CMake threads to fix crash compiling libz-ng-sys on macOS (#14715)
• Fix make requirements when conda environment is active (#14693)
• update rustc (#14678)
• redundant imports all crates (#14662)
• Avoid unnecessary cast in Series constructor (#14650)
• Add test on selecting Enum columns (#14628)
• Use uv for make requirements (#14618)
• Rename coverage file (#14607)
• Add a lint-only Makefile option (#14602)
• No longer use SeriesView in Series.to_numpy (#14588)

Thank you to all our contributors for making this release possible!
@Kylea650, @MarcoGorelli, @Object905, @alexander-beedie, @bsubei, @c-peters, @eLVas, @itamarst, @mbuhidar, @mcrumiller, @nameexhaustion, @orlp, @rijkvp, @ritchie46 and @stinodego

Python Polars 0.20.10

⚠️ Deprecations

• Add allow_copy parameter to DataFrame.to_numpy (#14569)

🚀 Performance improvements

• Avoid loading pandas in from_arrow when array has 0 chunks (#14562)

✨ Enhancements

• Warn on inefficient use of map_elements for additional string functions (#14565)
• Add allow_copy parameter to DataFrame.to_numpy (#14569)
• Improve read_database interop with sqlalchemy Session and various Result objects (#14557)
• Warn on inefficient use of map_elements for temporal attributes/methods (#14529)

🐞 Bug fixes

• Semi-join and multiple keys outer-join did not respect POLARS_MAX_THREADS (#14571)
• Correct sorted flag of chunked gather (#14570)

📖 Documentation

• Fix typo of "Cartesian" product (#14585)
• Mention in contributing guide that PR titles should start with an uppercase letter (#14584)
• Fix markdown newline for rendering function description in VSCode (#14567)

🛠️ Other improvements

• Refactor code coverage workflow (#14563)
• Disable status from code coverage (#14545)

Thank you to all our contributors for making this release possible!
@CBell045, @alexander-beedie, @c-peters, @nameexhaustion, @ritchie46 and @stinodego