v24.10.00

🚨 Breaking Changes

• Whitespace normalization of nested column coerced as string column in JSONL inputs (#16759) @shrshi
• Add libcudf wrappers around current_device_resource functions. (#16679) @harrism
• Fix empty cluster handling in tdigest merge (#16675) @jihoonson
• Remove java ColumnView.copyWithBooleanColumnAsValidity (#16660) @revans2
• Support reading multiple PQ sources with mismatching nullability for columns (#16639) @mhaseeb123
• Remove arrow_io_source (#16607) @vyasr
• Remove legacy Arrow interop APIs (#16590) @vyasr
• Remove NativeFile support from cudf Python (#16589) @vyasr
• Revert "Make proxy NumPy arrays pass isinstance check in cudf.pandas" (#16586) @Matt711
• Align public utility function signatures with pandas 2.x (#16565) @mroeschke
• Disallow cudf.Index accepting column in favor of ._from_column (#16549) @mroeschke
• Refactor dictionary encoding in PQ writer to migrate to the new cuco::static_map (#16541) @mhaseeb123
• Change IPv4 convert APIs to support UINT32 instead of INT64 (#16489) @davidwendt
• enable list to be forced as string in JSON reader. (#16472) @karthikeyann
• Disallow cudf.Series to accept column in favor of ._from_column (#16454) @mroeschke
• Align groupby APIs with pandas 2.x (#16403) @mroeschke
• Align misc DataFrame and MultiIndex methods with pandas 2.x (#16402) @mroeschke
• Align Index APIs with pandas 2.x (#16361) @mroeschke
• Add stream param to stream compaction APIs (#16295) @JayjeetAtGithub

🐛 Bug Fixes

• Add license to the pylibcudf wheel (#16976) @raydouglass
• Parse newline as whitespace character while tokenizing JSONL inputs with non-newline delimiter (#16950) @shrshi
• Add dask-cudf workaround for missing rename_axis support in cudf (#16899) @rjzamora
• Update oldest deps for pyarrow & numpy (#16883) @galipremsagar
• Update labeler for pylibcudf (#16868) @vyasr
• Revert "Refactor mixed_semi_join using cuco::static_set" (#16855) @mhaseeb123
• Fix metadata after implicit array conversion from Dask cuDF (#16842) @rjzamora
• Add cudf.pandas dependencies.yaml to update-version.sh (#16840) @raydouglass
• Use cupy 12.2.0 as oldest dependency pinning on CUDA 12 ARM (#16808) @bdice
• Revert "Fix empty cluster handling in tdigest merge (#16675)" (#16800) @jihoonson
• Intentionally leak thread_local CUDA resources to avoid crash (part 1) (#16787) @kingcrimsontianyu
• Fix cov/corr bug in dask-cudf (#16786) @rjzamora
• Fix slice_strings wide strings logic with multi-byte characters (#16777) @davidwendt
• Fix nvbench output for sha512 (#16773) @davidwendt
• Allow read_csv(header=None) to return int column labels in mode.pandas_compatible (#16769) @mroeschke
• Whitespace normalization of nested column coerced as string column in JSONL inputs (#16759) @shrshi
• Fix DataFrame.drop(columns=cudf.Series/Index, axis=1) (#16712) @mroeschke
• Use merge base when calculating changed files (#16709) @KyleFromNVIDIA
• Ensure we pass the has_nulls tparam to mixed_join kernels (#16708) @abellina
• Add boost-devel to Java CI Docker image (#16707) @jlowe
• [BUG] Add gpu node type to cudf-pandas 3rd-party integration nightly CI job (#16704) @Matt711
• Fix typo in column_factories.hpp comment from 'depth 1' to 'depth 2' (#16700) @a-hirota
• Fix Series.to_frame(name=None) setting a None name (#16698) @mroeschke
• Disable gtests/ERROR_TEST during compute-sanitizer memcheck test (#16691) @davidwendt
• Enable batched multi-source reading of JSONL files with large records (#16687) @shrshi
• Handle ordered parameter in CategoricalIndex.__repr__ (#16683) @galipremsagar
• Fix loc/iloc.setitem[:, loc] with non cupy types (#16677) @mroeschke
• Fix empty cluster handling in tdigest merge (#16675) @jihoonson
• Fix cudf::rank not getting enough params (#16666) @JayjeetAtGithub
• Fix slowdown in CategoricalIndex.__repr__ (#16665) @galipremsagar
• Remove java ColumnView.copyWithBooleanColumnAsValidity (#16660) @revans2
• Fix slowdown in DataFrame repr in jupyter notebook (#16656) @galipremsagar
• Preserve Series name in duplicated method. (#16655) @bdice
• Fix interval_range right child non-zero offset (#16651) @mroeschke
• fix libcudf wheel publishing, make package-type explicit in wheel publishing (#16650) @jameslamb
• Revert "Hide all gtest symbols in cudftestutil (#16546)" (#16644) @robertmaynard
• Fix integer overflow in indexalator pointer logic (#16643) @davidwendt
• Allow for binops between two differently sized DecimalDtypes (#16638) @mroeschke
• Move pragma once in rolling/jit/operation.hpp. (#16636) @bdice
• Fix overflow bug in low-memory JSON reader (#16632) @shrshi
• Add the missing num_aggregations axis for groupby_max_cardinality (#16630) @PointKernel
• Fix strings::detail::copy_range when target contains nulls (#16626) @davidwendt
• Fix function parameters with common dependency modified during their evaluation (#16620) @ttnghia
• bug-fix: Don't enable the CUDA language if testing was requested when finding cudf (#16615) @cryos
• bug-fix: cudf/io/json.hpp use after move (#16609) @NicolasDenoyelle
• Remove CUDA whole compilation ODR violations (#16603) @robertmaynard
• MAINT: Adapt to numpy hiding flagsobject away (#16593) @seberg
• Revert "Make proxy NumPy arrays pass isinstance check in cudf.pandas" (#16586) @Matt711
• Switch python version to 3.10 in cudf.pandas pandas test scripts (#16559) @galipremsagar
• Hide all gtest symbols in cudftestutil (#16546) @robertmaynard
• Update the java code to properly deal with lists being returned as strings (#16536) @revans2
• Register read_parquet and read_csv with dask-expr (#16535) @rjzamora
• Change cudf::empty_like to not include offsets for empty strings columns (#16529) @davidwendt
• Fix DataFrame reductions with median returning scalar instead of Series (#16527) @mroeschke
• Allow DataFrame.sort_values(by=) to select an index level (#16519) @mroeschke
• Fix date_range(start, end, freq) when end-start is divisible by freq (#16516) @mroeschke
• Preserve array name in MultiIndex.from_arrays (#16515) @mroeschke
• Disallow indexing by selecting duplicate labels (#16514) @mroeschke
• Fix .replace(Index, Index) raising a TypeError (#16513) @mroeschke
• Check index bounds in compact protocol reader. (#16493) @bdice
• Fix build failures with GCC 13 (#16488) @PointKernel
• Fix all-empty input column for strings split APIs (#16466) @davidwendt
• Fix segmented-sort overlapped input/output indices (#16463) @davidwendt
• Fix merge conflict for auto merge 16447 (#16449) @davidwendt

📖 Documentation

• Fix links in Dask cuDF documentation (#16929) @rjzamora
• Improve aggregation documentation (#16822) @PointKernel
• Add best practices page to Dask cuDF docs (#16821) @rjzamora
• [DOC] Update Pylibcudf doc strings (#16810) @Matt711
• Recommending miniforge for conda install (#16782) @mmccarty
• Add labeling pylibcudf doc pages (#16779) @mroeschke
• Migrate dask-cudf README improvements to dask-cudf sphinx docs (#16765) @rjzamora
• [DOC] Remove out of date section from cudf.pandas docs (#16697) @Matt711
• Add performance tips to cudf.pandas FAQ. (#16693) @bdice
• Update documentation for Dask cuDF (#16671) @rjzamora
• Add missing pylibcudf strings docs (#16471) @brandon-b-miller
• DOC: Refresh pylibcudf guide (#15856) @lithomas1

🚀 New Features

• Build cudf-polars with build.sh (#16898) @brandon-b-miller
• Add polars to "all" dependency list. (#16875) @bdice
• nvCOMP GZIP integration (#16770) @vuule
• [FEA] Add support for cudf.NamedAgg (#16744) @Matt711
• Add experimental filesystem="arrow" support in dask_cudf.read_parquet (#16684) @rjzamora
• Relax Arrow pin (#16681) @vyasr
• Add libcudf wrappers around current_device_resource functions. (#16679) @harrism
• Move NDS-H examples into benchmarks (#16663) @JayjeetAtGithub
• [FEA] Add third-party library integration testing of cudf.pandas to cudf (#16645) @Matt711
• Make isinstance check pass for proxy ndarrays (#16601) @Matt711
• [FEA] Add an environment variable to fail on fallback in cudf.pandas (#16562) @Matt711
• [FEA] Add support for cudf.unique (#16554) @Matt711
• [FEA] Support named aggregations in df.groupby().agg() (#16528) @Matt711
• Change IPv4 convert APIs to support UINT32 instead of INT64 (#16489) @davidwendt
• enable list to be forced as string in JSON reader. (#16472) @karthikeyann
• Remove cuDF dependency from pylibcudf column from_device tests (#16441) @brandon-b-miller
• Enable cudf.pandas REPL and -c command support (#16428) @bdice
• Setup pylibcudf package (#16299) @lithomas1
• Add a libcudf/thrust-based TPC-H derived datagen (#16294) @JayjeetAtGithub
• Make proxy NumPy arrays pass isinstance check in cudf.pandas (#16286) @Matt711
• Add skiprows and nrows to parquet reader (#16214) @lithomas1
• Upgrade to nvcomp 4.0.1 (#16076) @vuule
• Migrate ORC reader to pylibcudf (#16042) @lithomas1
• JSON reader validation of values (#15968) @karthikeyann
• Implement exposed null mask APIs in pylibcudf (#15908) @charlesbluca
• Word-based nvtext::minhash function (#15368) @davidwendt

🛠️ Improvements

• Make tests deterministic (#16910) @galipremsagar
• Update update-version.sh to use packaging lib (#16891) @AyodeAwe
• Pin polars for 24.10 and update polars test suite xfail list (#16886) @wence-
• Add in support for setting delim when parsing JSON through java (#16867) (#16880) @revans2
• Remove unnecessary flag from build.sh (#16879) @vyasr
• Ignore numba warning specific to ARM runners (#16872) @galipremsagar
• Display deltas for cudf.pandas test summary (#16864) @galipremsagar
• Switch to using native traceback (#16851) @galipremsagar
• JSON tree algorithm code reorg (#16836) @karthikeyann
• Add string.repeats API to pylibcudf (#16834) @mroeschke
• Use CI workflow branch 'branch-24.10' again (#16832) @jameslamb
• Rename the NDS-H benchmark binaries (#16831) @JayjeetAtGithub
• Add string.findall APIs t...

[NIGHTLY] v24.12.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Deprecate support for directly accessing logger (#16964) @vyasr
• Made cudftestutil header-only and removed GTest dependency (#16839) @lamarrr

🐛 Bug Fixes

• Fix ORC reader when using device_read_async while the destination device buffers are not ready (#17074) @ttnghia
• Adding assertion to check for regular JSON inputs of size greater than INT_MAX bytes (#17057) @shrshi
• Disable kvikio remote I/O to avoid openssl dependencies in JNI build (#17026) @pxLi
• Fix host_span constructor to correctly copy is_device_accessible (#17020) @vuule
• Add pinning for pyarrow in wheels (#17018) @vyasr
• Use std::optional for host types (#17015) @robertmaynard
• Fix write_json to handle empty string column (#16995) @karthikeyann
• Restore export of nvcomp outside of wheel builds (#16988) @KyleFromNVIDIA
• Allow melt(var_name=) to be a falsy label (#16981) @mroeschke
• Fix astype from tz-aware type to tz-aware type (#16980) @mroeschke
• Use libcudf wheel from PR rather than nightly for polars-polars CI test job (#16975) @brandon-b-miller
• Fix order-preservation in pandas-compat unsorted groupby (#16942) @wence-
• Fix cudf::strings::findall error with empty input (#16928) @davidwendt
• Fix JsonLargeReaderTest.MultiBatch use of LIBCUDF_JSON_BATCH_SIZE env var (#16927) @davidwendt
• Parse newline as whitespace character while tokenizing JSONL inputs with non-newline delimiter (#16923) @shrshi
• Respect groupby.nunique(dropna=False) (#16921) @mroeschke
• Update all rmm imports to use pylibrmm/librmm (#16913) @Matt711
• Fix order-preservation in cudf-polars groupby (#16907) @wence-
• Add a shortcut for when the input clusters are all empty for the tdigest merge (#16897) @jihoonson
• Properly handle the mapped and registered regions in memory_mapped_source (#16865) @vuule
• Fix performance regression for generate_character_ngrams (#16849) @davidwendt
• Fix regex parsing logic handling of nested quantifiers (#16798) @davidwendt
• Compute whole column variance using numerically stable approach (#16448) @wence-

📖 Documentation

• docs: change 'CSV' to 'csv' in python/custreamz/README.md to match kafka.py (#17041) @a-hirota
• [DOC] Document limitation using cudf.pandas proxy arrays (#16955) @Matt711
• [DOC] Document environment variable for failing on fallback in cudf.pandas (#16932) @Matt711

🚀 New Features

• Add profilers to CUDA 12 conda devcontainers (#17066) @vyasr
• Migrate Min Hashing APIs to pylibcudf (#17021) @Matt711
• Reorganize cudf_polars expression code (#17014) @brandon-b-miller
• Migrate nvtext jaccard API to pylibcudf (#17007) @Matt711
• Migrate nvtext generate_ngrams APIs to pylibcudf (#17006) @Matt711
• Switched BINARY_OP Benchmarks from GoogleBench to NVBench (#16963) @lamarrr
• [FEA] Migrate nvtext/edit_distance APIs to pylibcudf (#16957) @Matt711
• Switched AST benchmarks from GoogleBench to NVBench (#16952) @lamarrr
• Made cudftestutil header-only and removed GTest dependency (#16839) @lamarrr
• Add an example to demonstrate multithreaded read_parquet pipelines (#16828) @mhaseeb123
• Implement extract_datetime_component in libcudf/pylibcudf (#16776) @brandon-b-miller
• Add cudf::strings::find_re API (#16742) @davidwendt

🛠️ Improvements

• Remove unused hash helper functions (#17056) @PointKernel
• Move flatten_single_pass_aggs to its own TU (#17053) @PointKernel
• Replace deprecated cuco APIs with updated versions (#17052) @PointKernel
• Refactor ORC dictionary encoding to migrate to the new cuco::static_map (#17049) @mhaseeb123
• Move pylibcudf/libcudf/wrappers/decimals to pylibcudf/libcudf/fixed_point (#17048) @mroeschke
• make conda installs in CI stricter (part 2) (#17042) @jameslamb
• Clean up hash-groupby var_hash_functor (#17034) @PointKernel
• Add json APIs to pylibcudf (#17025) @mroeschke
• make conda installs in CI stricter (#17013) @jameslamb
• Pylibcudf: pack and unpack (#17012) @madsbk
• Remove unneeded pylibcudf.libcudf.wrappers.duration usage in cudf (#17010) @mroeschke
• Remove unused import (#17005) @Matt711
• Add string.convert.convert_urls APIs to pylibcudf (#17003) @mroeschke
• Add release tracking to project automation scripts (#17001) @jarmak-nv
• Add string.convert.convert_lists APIs to pylibcudf (#16997) @mroeschke
• Performance optimization of JSON validation (#16996) @karthikeyann
• Add string.convert.convert_ipv4 APIs to pylibcudf (#16994) @mroeschke
• Add string.convert_floats APIs to pylibcudf (#16990) @mroeschke
• Add string.convert.convert_fixed_type APIs to pylibcudf (#16984) @mroeschke
• Add docstrings and test for strings.convert_durations APIs for pylibcudf (#16982) @mroeschke
• Turn on xfail_strict = true for all python packages (#16977) @wence-
• Add string.convert.convert_datetime/convert_booleans APIs to pylibcudf (#16971) @mroeschke
• Deprecate support for directly accessing logger (#16964) @vyasr
• Expunge NamedColumn (#16962) @wence-
• Add clang-tidy to CI (#16958) @vyasr
• Address all remaining clang-tidy errors (#16956) @vyasr
• Apply clang-tidy autofixes (#16949) @vyasr
• Use nvcomp wheel instead of bundling nvcomp (#16946) @KyleFromNVIDIA
• Refactor the cuda_memcpy functions to make them more usable (#16945) @vuule
• Add string.split APIs to pylibcudf (#16940) @mroeschke
• clang-tidy fixes part 3 (#16939) @vyasr
• clang-tidy fixes part 2 (#16938) @vyasr
• clang-tidy fixes part 1 (#16937) @vyasr
• Add string.wrap APIs to pylibcudf (#16935) @mroeschke
• Add string.translate APIs to pylibcudf (#16934) @mroeschke
• Add string.find_multiple APIs to pylibcudf (#16920) @mroeschke
• Batch memcpy the last offsets for output buffers of str and list cols in PQ reader (#16905) @mhaseeb123
• reduce wheel build verbosity, narrow deprecation warning filter (#16896) @jameslamb
• Improve aggregation device functors (#16884) @PointKernel
• Upgrade pandas pinnings to support 2.2.3 (#16882) @galipremsagar
• Fix 24.10 to 24.12 forward merge (#16876) @bdice
• Manually resolve conflicts in between branch-24.12 and branch-24.10 (#16871) @galipremsagar
• Add in support for setting delim when parsing JSON through java (#16867) @revans2
• Reapply mixed_semi_join refactoring and bug fixes (#16859) @mhaseeb123
• Add string padding and side_type APIs to pylibcudf (#16833) @mroeschke
• Organize parquet reader mukernel non-nullable code, introduce manual block scans (#16830) @pmattione-nvidia
• Remove superfluous use of std::vector for std::future (#16829) @kingcrimsontianyu
• Rework read_csv IO to avoid reading whole input with a single host_read (#16826) @vuule
• Add remaining string.char_types APIs to pylibcudf (#16788) @mroeschke
• Avoid public constructors when called with columns to avoid unnecessary validation (#16747) @mroeschke
• Use changed-files shared workflow (#16713) @KyleFromNVIDIA
• Refactor histogram reduction using cuco::static_set::insert_and_find (#16485) @srinivasyadav18
• Use numba-cuda>=0.0.13 (#16474) @gmarkall

v24.08.03

🚨 Breaking Changes

• Align Index init APIs with pandas 2.x (#16362) @mroeschke
• Align Series APIs with pandas 2.x (#16333) @mroeschke
• Add missing stream param to dictionary factory APIs (#16319) @JayjeetAtGithub
• Deprecate dtype= parameter in reduction methods (#16313) @mroeschke
• Remove squeeze argument from groupby (#16312) @mroeschke
• Align more DataFrame APIs with pandas (#16310) @mroeschke
• Remove mr param from write_csv and write_json (#16231) @JayjeetAtGithub
• Report number of rows per file read by PQ reader when no row selection and fix segfault in chunked PQ reader when skip_rows > 0 (#16195) @mhaseeb123
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• Deprecate Arrow support in I/O (#16132) @lithomas1
• Return FrozenList for Index.names (#16047) @galipremsagar
• Add compile option to enable large strings support (#16037) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Rename strings multiple target replace API (#15898) @davidwendt
• Pinned vector factory that uses the global pool (#15895) @vuule
• Apply clang-tidy autofixes (#15894) @vyasr
• Support arrow:schema in Parquet writer to faithfully roundtrip duration types with Arrow (#15875) @mhaseeb123
• Expose stream parameter to public rolling APIs (#15865) @srinivasyadav18
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Remove legacy JSON reader and concurrent_unordered_map.cuh. (#15813) @bdice

🐛 Bug Fixes

• Ensure managed memory is supported in cudf.pandas. (#16552) @bdice
• Add flatbuffers to libcudf build (#16446) @galipremsagar
• Fix parquet_field_list read_func lambda capture invalid this pointer (#16440) @davidwendt
• Enable prefetching in cudf.pandas.install() (#16439) @bdice
• Enable prefetching before runpy (#16427) @galipremsagar
• Support thread-safe for prefetch_config::get and prefetch_config::set (#16425) @ttnghia
• Fix a pandas-2.0 missing attribute error (#16416) @galipremsagar
• [Bug] Remove loud NativeFile deprecation noise for read_parquet from S3 (#16415) @rjzamora
• Fix nightly memcheck error for empty STREAM_INTEROP_TEST (#16406) @davidwendt
• Gate ArrowStringArrayNumpySemantics cudf.pandas proxy behind version check (#16401) @mroeschke
• Don't export bs_thread_pool (#16398) @KyleFromNVIDIA
• Require fixed width types for casting in cudf-polars (#16381) @brandon-b-miller
• Fix docstring of DataFrame.apply (#16351) @galipremsagar
• Make bool raise for more cudf objects (#16311) @mroeschke
• Rename .devcontainers for CUDA 12.5 (#16293) @jakirkham
• Fix split_record for all empty strings column (#16291) @davidwendt
• Fix logic in to_arrow for empty list column (#16279) @wence-
• [BUG] Make name attr of Index fast slow attrs (#16270) @Matt711
• Add custom name setter and getter for proxy objects in cudf.pandas (#16234) @Matt711
• Fall back when casting a timestamp to numeric in cudf-polars (#16232) @brandon-b-miller
• Disable large string support for Java build (#16216) @jlowe
• Remove CCCL patch for PR 211. (#16207) @bdice
• Add single offset to an empty ListArray in cudf::to_arrow (#16201) @davidwendt
• Fix memory_usage when calculating nested list column (#16193) @mroeschke
• Support at/iat indexers in cudf.pandas (#16177) @mroeschke
• Fix unused-return-value debug build error in from_arrow_stream_test.cpp (#16168) @davidwendt
• Fix cudf::strings::replace_multiple hang on empty target (#16167) @davidwendt
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• interpolate returns new column if no values are interpolated (#16158) @mroeschke
• Use provided memory resource for allocating mixed join results. (#16153) @bdice
• Run DFG after verify-alpha-spec (#16151) @KyleFromNVIDIA
• Use size_t to allow large conditional joins (#16127) @bdice
• Allow only scale=0 fixed-point values in fixed_width_column_wrapper (#16120) @davidwendt
• Fix pylibcudf Table.num_rows for 0 columns case and add interop to docs (#16108) @lithomas1
• Add support for proxy np.flatiter objects (#16107) @Matt711
• Ensure cudf objects can astype to any type when empty (#16106) @mroeschke
• Support pd.read_pickle and pd.to_pickle in cudf.pandas (#16105) @Matt711
• Fix unnecessarily strict check in parquet chunked reader for choosing split locations. (#16099) @nvdbaranec
• Fix is_monotonic_* APIs to include nan's (#16085) @galipremsagar
• More safely parse CUDA versions when subprocess output is contaminated (#16067) @brandon-b-miller
• fast_slow_proxy: Don't import assert_eq at top-level (#16063) @wence-
• Prevent bad ColumnAccessor state after .sort_index(axis=1, ignore_index=True) (#16061) @mroeschke
• Fix ArrowDeviceArray interface to pass address of event (#16058) @zeroshade
• Fix a size overflow bug in hash groupby (#16053) @PointKernel
• Fix atomic_ref scope when multiple blocks are updating the same output (#16051) @vuule
• Fix initialization error in to_arrow for empty string views (#16033) @wence-
• Fix the int32 overflow when computing page fragment sizes for large string columns (#16028) @mhaseeb123
• Fix the pool size alignment issue (#16024) @PointKernel
• Improve multibyte-split byte-range performance (#16019) @davidwendt
• Fix target counting in strings char-parallel replace (#16017) @davidwendt
• Support IntervalDtype in cudf.from_pandas (#16014) @mroeschke
• Fix memory size in create_byte_range_infos_consecutive (#16012) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Fix Cython typo preventing proper inheritance (#15978) @vyasr
• Fix convert_dtypes with convert_integer=False/convert_floating=True (#15964) @mroeschke
• Fix nunique for MultiIndex, DataFrame, and all NA case with dropna=False (#15962) @mroeschke
• Explicitly build for all GPU architectures (#15959) @vyasr
• Preserve column type and class information in more DataFrame operations (#15949) @mroeschke
• Add array_interface to cudf.pandas numpy.ndarray proxy (#15936) @mroeschke
• Allow tests to be built when stream util is disabled (#15933) @robertmaynard
• Fix JSON multi-source reading when total source size exceeds INT_MAX bytes (#15930) @shrshi
• Fix dask_cudf.read_parquet regression for legacy timestamp data (#15929) @rjzamora
• Fix offsetalator when accessing over 268 million rows (#15921) @davidwendt
• Fix debug assert in rowgroup_char_counts_kernel (#15902) @davidwendt
• Fix categorical conversion from chunked arrow arrays (#15886) @vyasr
• Handling for NaN and inf when converting floating point to fixed point types (#15885) @ttnghia
• Manual merge of Branch 24.08 from 24.06 (#15869) @galipremsagar
• Avoid unnecessary Index cast in IndexedFrame.index setter (#15843) @charlesbluca
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Fix multi-replace target count logic for large strings (#15807) @davidwendt
• Fix JSON parsing memory corruption - Fix Mixed types nested children removal (#15798) @karthikeyann
• Allow anonymous user in devcontainer name. (#15784) @bdice
• Add support for additional metaclasses of proxies and use for ExcelWriter (#15399) @vyasr

📖 Documentation

• Add docstring for from_dataframe (#16260) @mroeschke
• Update libcudf compiler requirements in contributing doc (#16103) @davidwendt
• Add libcudf public/detail API pattern to developer guide (#16086) @davidwendt
• Explain line profiler and how to know which functions are GPU-accelerated. (#16079) @bdice
• cudf.pandas documentation improvement (#15948) @Matt711
• Reland "Fix docs for IO readers and strings_convert" (#15872)" (#15941) @lithomas1
• Document how to use cudf.pandas in tandem with multiprocessing (#15940) @wence-
• DOC: Add documentation for cudf.pandas in the Developer Guide (#15889) @Matt711
• Improve options docs (#15888) @bdice
• DOC: add linkcode to docs (#15860) @raybellwaves
• DOC: use intersphinx mapping in pandas-compat ext (#15846) @raybellwaves
• Fix inconsistent usage of 'results' and 'records' in read-json.md (#15766) @dagardner-nv
• Update PandasCompat.py to resolve references (#15704) @raybellwaves

🚀 New Features

• Creation of CI artifacts for cudf-polars wheels (#16680) @wence-
• Warn on cuDF failure when POLARS_VERBOSE is true (#16308) @brandon-b-miller
• Add drop_nulls in cudf-polars (#16290) @brandon-b-miller
• [JNI] Add setKernelPinnedCopyThreshold and setPinnedAllocationThreshold (#16288) @abellina
• Implement support for scan_ndjson in cudf-polars (#16263) @lithomas1
• Publish cudf-polars nightlies (#16213) @lithomas1
• Modify make_host_vector and make_device_uvector factories to optionally use pinned memory and kernel copy (#16206) @vuule
• Migrate lists/set_operations to pylibcudf (#16190) @Matt711
• Migrate lists/filling to pylibcudf (#16189) @Matt711
• Fall back to CPU for unsupported libcudf binaryops in cudf-polars (#16188) @brandon-b-miller
• Use resource_ref for upstream in stream_checking_resource_adaptor (#16187) @harrism
• Migrate lists/modifying to pylibcudf (#16185) @Matt711
• Migrate lists/filtering to pylibcudf (#16184) @Matt711
• Migrate lists/sorting to pylibcudf (#16179) @Matt711
• Add missing methods to lists/list_column_view.pxd in pylibcudf (#16175) @Matt711
• Migrate pylibcudf lists gathering (#16170) @Matt711
• Move kernel vis over to CUDF_HIDDEN (#16165) @robertmaynard
• Add groupby_max multi-threaded benchmark (#16154) @srinivasyadav18
• Promote has_nested_columns to cudf public API (#16131) @robertmaynard
• Promote IO support queries to cudf API (#16125) @robertmaynard
• cudf::merge public API now support passing a user stream (#16124) @robertmaynard
• Add TPC-H inspired examples for Libcudf (#16088) @JayjeetAtGithub
• Installed cudf header use cudf::allocate_like (#16087) @robertmaynard
• cudf-polars string slicing (#16082) @brandon-b-miller
• Migrate Parquet reader to pylibcudf (#16078) @lithomas1
• Migrate lists/c...

v24.08.02

🚨 Breaking Changes

• Align Index init APIs with pandas 2.x (#16362) @mroeschke
• Align Series APIs with pandas 2.x (#16333) @mroeschke
• Add missing stream param to dictionary factory APIs (#16319) @JayjeetAtGithub
• Deprecate dtype= parameter in reduction methods (#16313) @mroeschke
• Remove squeeze argument from groupby (#16312) @mroeschke
• Align more DataFrame APIs with pandas (#16310) @mroeschke
• Remove mr param from write_csv and write_json (#16231) @JayjeetAtGithub
• Report number of rows per file read by PQ reader when no row selection and fix segfault in chunked PQ reader when skip_rows > 0 (#16195) @mhaseeb123
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• Deprecate Arrow support in I/O (#16132) @lithomas1
• Return FrozenList for Index.names (#16047) @galipremsagar
• Add compile option to enable large strings support (#16037) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Rename strings multiple target replace API (#15898) @davidwendt
• Pinned vector factory that uses the global pool (#15895) @vuule
• Apply clang-tidy autofixes (#15894) @vyasr
• Support arrow:schema in Parquet writer to faithfully roundtrip duration types with Arrow (#15875) @mhaseeb123
• Expose stream parameter to public rolling APIs (#15865) @srinivasyadav18
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Remove legacy JSON reader and concurrent_unordered_map.cuh. (#15813) @bdice

🐛 Bug Fixes

• Ensure managed memory is supported in cudf.pandas. (#16552) @bdice
• Add flatbuffers to libcudf build (#16446) @galipremsagar
• Fix parquet_field_list read_func lambda capture invalid this pointer (#16440) @davidwendt
• Enable prefetching in cudf.pandas.install() (#16439) @bdice
• Enable prefetching before runpy (#16427) @galipremsagar
• Support thread-safe for prefetch_config::get and prefetch_config::set (#16425) @ttnghia
• Fix a pandas-2.0 missing attribute error (#16416) @galipremsagar
• [Bug] Remove loud NativeFile deprecation noise for read_parquet from S3 (#16415) @rjzamora
• Fix nightly memcheck error for empty STREAM_INTEROP_TEST (#16406) @davidwendt
• Gate ArrowStringArrayNumpySemantics cudf.pandas proxy behind version check (#16401) @mroeschke
• Don't export bs_thread_pool (#16398) @KyleFromNVIDIA
• Require fixed width types for casting in cudf-polars (#16381) @brandon-b-miller
• Fix docstring of DataFrame.apply (#16351) @galipremsagar
• Make bool raise for more cudf objects (#16311) @mroeschke
• Rename .devcontainers for CUDA 12.5 (#16293) @jakirkham
• Fix split_record for all empty strings column (#16291) @davidwendt
• Fix logic in to_arrow for empty list column (#16279) @wence-
• [BUG] Make name attr of Index fast slow attrs (#16270) @Matt711
• Add custom name setter and getter for proxy objects in cudf.pandas (#16234) @Matt711
• Fall back when casting a timestamp to numeric in cudf-polars (#16232) @brandon-b-miller
• Disable large string support for Java build (#16216) @jlowe
• Remove CCCL patch for PR 211. (#16207) @bdice
• Add single offset to an empty ListArray in cudf::to_arrow (#16201) @davidwendt
• Fix memory_usage when calculating nested list column (#16193) @mroeschke
• Support at/iat indexers in cudf.pandas (#16177) @mroeschke
• Fix unused-return-value debug build error in from_arrow_stream_test.cpp (#16168) @davidwendt
• Fix cudf::strings::replace_multiple hang on empty target (#16167) @davidwendt
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• interpolate returns new column if no values are interpolated (#16158) @mroeschke
• Use provided memory resource for allocating mixed join results. (#16153) @bdice
• Run DFG after verify-alpha-spec (#16151) @KyleFromNVIDIA
• Use size_t to allow large conditional joins (#16127) @bdice
• Allow only scale=0 fixed-point values in fixed_width_column_wrapper (#16120) @davidwendt
• Fix pylibcudf Table.num_rows for 0 columns case and add interop to docs (#16108) @lithomas1
• Add support for proxy np.flatiter objects (#16107) @Matt711
• Ensure cudf objects can astype to any type when empty (#16106) @mroeschke
• Support pd.read_pickle and pd.to_pickle in cudf.pandas (#16105) @Matt711
• Fix unnecessarily strict check in parquet chunked reader for choosing split locations. (#16099) @nvdbaranec
• Fix is_monotonic_* APIs to include nan's (#16085) @galipremsagar
• More safely parse CUDA versions when subprocess output is contaminated (#16067) @brandon-b-miller
• fast_slow_proxy: Don't import assert_eq at top-level (#16063) @wence-
• Prevent bad ColumnAccessor state after .sort_index(axis=1, ignore_index=True) (#16061) @mroeschke
• Fix ArrowDeviceArray interface to pass address of event (#16058) @zeroshade
• Fix a size overflow bug in hash groupby (#16053) @PointKernel
• Fix atomic_ref scope when multiple blocks are updating the same output (#16051) @vuule
• Fix initialization error in to_arrow for empty string views (#16033) @wence-
• Fix the int32 overflow when computing page fragment sizes for large string columns (#16028) @mhaseeb123
• Fix the pool size alignment issue (#16024) @PointKernel
• Improve multibyte-split byte-range performance (#16019) @davidwendt
• Fix target counting in strings char-parallel replace (#16017) @davidwendt
• Support IntervalDtype in cudf.from_pandas (#16014) @mroeschke
• Fix memory size in create_byte_range_infos_consecutive (#16012) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Fix Cython typo preventing proper inheritance (#15978) @vyasr
• Fix convert_dtypes with convert_integer=False/convert_floating=True (#15964) @mroeschke
• Fix nunique for MultiIndex, DataFrame, and all NA case with dropna=False (#15962) @mroeschke
• Explicitly build for all GPU architectures (#15959) @vyasr
• Preserve column type and class information in more DataFrame operations (#15949) @mroeschke
• Add array_interface to cudf.pandas numpy.ndarray proxy (#15936) @mroeschke
• Allow tests to be built when stream util is disabled (#15933) @robertmaynard
• Fix JSON multi-source reading when total source size exceeds INT_MAX bytes (#15930) @shrshi
• Fix dask_cudf.read_parquet regression for legacy timestamp data (#15929) @rjzamora
• Fix offsetalator when accessing over 268 million rows (#15921) @davidwendt
• Fix debug assert in rowgroup_char_counts_kernel (#15902) @davidwendt
• Fix categorical conversion from chunked arrow arrays (#15886) @vyasr
• Handling for NaN and inf when converting floating point to fixed point types (#15885) @ttnghia
• Manual merge of Branch 24.08 from 24.06 (#15869) @galipremsagar
• Avoid unnecessary Index cast in IndexedFrame.index setter (#15843) @charlesbluca
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Fix multi-replace target count logic for large strings (#15807) @davidwendt
• Fix JSON parsing memory corruption - Fix Mixed types nested children removal (#15798) @karthikeyann
• Allow anonymous user in devcontainer name. (#15784) @bdice
• Add support for additional metaclasses of proxies and use for ExcelWriter (#15399) @vyasr

📖 Documentation

• Add docstring for from_dataframe (#16260) @mroeschke
• Update libcudf compiler requirements in contributing doc (#16103) @davidwendt
• Add libcudf public/detail API pattern to developer guide (#16086) @davidwendt
• Explain line profiler and how to know which functions are GPU-accelerated. (#16079) @bdice
• cudf.pandas documentation improvement (#15948) @Matt711
• Reland "Fix docs for IO readers and strings_convert" (#15872)" (#15941) @lithomas1
• Document how to use cudf.pandas in tandem with multiprocessing (#15940) @wence-
• DOC: Add documentation for cudf.pandas in the Developer Guide (#15889) @Matt711
• Improve options docs (#15888) @bdice
• DOC: add linkcode to docs (#15860) @raybellwaves
• DOC: use intersphinx mapping in pandas-compat ext (#15846) @raybellwaves
• Fix inconsistent usage of 'results' and 'records' in read-json.md (#15766) @dagardner-nv
• Update PandasCompat.py to resolve references (#15704) @raybellwaves

🚀 New Features

• Warn on cuDF failure when POLARS_VERBOSE is true (#16308) @brandon-b-miller
• Add drop_nulls in cudf-polars (#16290) @brandon-b-miller
• [JNI] Add setKernelPinnedCopyThreshold and setPinnedAllocationThreshold (#16288) @abellina
• Implement support for scan_ndjson in cudf-polars (#16263) @lithomas1
• Publish cudf-polars nightlies (#16213) @lithomas1
• Modify make_host_vector and make_device_uvector factories to optionally use pinned memory and kernel copy (#16206) @vuule
• Migrate lists/set_operations to pylibcudf (#16190) @Matt711
• Migrate lists/filling to pylibcudf (#16189) @Matt711
• Fall back to CPU for unsupported libcudf binaryops in cudf-polars (#16188) @brandon-b-miller
• Use resource_ref for upstream in stream_checking_resource_adaptor (#16187) @harrism
• Migrate lists/modifying to pylibcudf (#16185) @Matt711
• Migrate lists/filtering to pylibcudf (#16184) @Matt711
• Migrate lists/sorting to pylibcudf (#16179) @Matt711
• Add missing methods to lists/list_column_view.pxd in pylibcudf (#16175) @Matt711
• Migrate pylibcudf lists gathering (#16170) @Matt711
• Move kernel vis over to CUDF_HIDDEN (#16165) @robertmaynard
• Add groupby_max multi-threaded benchmark (#16154) @srinivasyadav18
• Promote has_nested_columns to cudf public API (#16131) @robertmaynard
• Promote IO support queries to cudf API (#16125) @robertmaynard
• cudf::merge public API now support passing a user stream (#16124) @robertmaynard
• Add TPC-H inspired examples for Libcudf (#16088) @JayjeetAtGithub
• Installed cudf header use cudf::allocate_like (#16087) @robertmaynard
• cudf-polars string slicing (#16082) @brandon-b-miller
• Migrate Parquet reader to pylibcudf (#16078) @lithomas1
• Migrate lists/count_elements to pylibcudf (#16072) @Matt711
• Migrate lists/extrac...

v24.08.00

🚨 Breaking Changes

• Align Index init APIs with pandas 2.x (#16362) @mroeschke
• Align Series APIs with pandas 2.x (#16333) @mroeschke
• Add missing stream param to dictionary factory APIs (#16319) @JayjeetAtGithub
• Deprecate dtype= parameter in reduction methods (#16313) @mroeschke
• Remove squeeze argument from groupby (#16312) @mroeschke
• Align more DataFrame APIs with pandas (#16310) @mroeschke
• Remove mr param from write_csv and write_json (#16231) @JayjeetAtGithub
• Report number of rows per file read by PQ reader when no row selection and fix segfault in chunked PQ reader when skip_rows > 0 (#16195) @mhaseeb123
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• Deprecate Arrow support in I/O (#16132) @lithomas1
• Return FrozenList for Index.names (#16047) @galipremsagar
• Add compile option to enable large strings support (#16037) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Rename strings multiple target replace API (#15898) @davidwendt
• Pinned vector factory that uses the global pool (#15895) @vuule
• Apply clang-tidy autofixes (#15894) @vyasr
• Support arrow:schema in Parquet writer to faithfully roundtrip duration types with Arrow (#15875) @mhaseeb123
• Expose stream parameter to public rolling APIs (#15865) @srinivasyadav18
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Remove legacy JSON reader and concurrent_unordered_map.cuh. (#15813) @bdice

🐛 Bug Fixes

• Add flatbuffers to libcudf build (#16446) @galipremsagar
• Fix parquet_field_list read_func lambda capture invalid this pointer (#16440) @davidwendt
• Enable prefetching in cudf.pandas.install() (#16439) @bdice
• Enable prefetching before runpy (#16427) @galipremsagar
• Support thread-safe for prefetch_config::get and prefetch_config::set (#16425) @ttnghia
• Fix a pandas-2.0 missing attribute error (#16416) @galipremsagar
• [Bug] Remove loud NativeFile deprecation noise for read_parquet from S3 (#16415) @rjzamora
• Fix nightly memcheck error for empty STREAM_INTEROP_TEST (#16406) @davidwendt
• Gate ArrowStringArrayNumpySemantics cudf.pandas proxy behind version check (#16401) @mroeschke
• Don't export bs_thread_pool (#16398) @KyleFromNVIDIA
• Require fixed width types for casting in cudf-polars (#16381) @brandon-b-miller
• Fix docstring of DataFrame.apply (#16351) @galipremsagar
• Make bool raise for more cudf objects (#16311) @mroeschke
• Rename .devcontainers for CUDA 12.5 (#16293) @jakirkham
• Fix split_record for all empty strings column (#16291) @davidwendt
• Fix logic in to_arrow for empty list column (#16279) @wence-
• [BUG] Make name attr of Index fast slow attrs (#16270) @Matt711
• Add custom name setter and getter for proxy objects in cudf.pandas (#16234) @Matt711
• Fall back when casting a timestamp to numeric in cudf-polars (#16232) @brandon-b-miller
• Disable large string support for Java build (#16216) @jlowe
• Remove CCCL patch for PR 211. (#16207) @bdice
• Add single offset to an empty ListArray in cudf::to_arrow (#16201) @davidwendt
• Fix memory_usage when calculating nested list column (#16193) @mroeschke
• Support at/iat indexers in cudf.pandas (#16177) @mroeschke
• Fix unused-return-value debug build error in from_arrow_stream_test.cpp (#16168) @davidwendt
• Fix cudf::strings::replace_multiple hang on empty target (#16167) @davidwendt
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• interpolate returns new column if no values are interpolated (#16158) @mroeschke
• Use provided memory resource for allocating mixed join results. (#16153) @bdice
• Run DFG after verify-alpha-spec (#16151) @KyleFromNVIDIA
• Use size_t to allow large conditional joins (#16127) @bdice
• Allow only scale=0 fixed-point values in fixed_width_column_wrapper (#16120) @davidwendt
• Fix pylibcudf Table.num_rows for 0 columns case and add interop to docs (#16108) @lithomas1
• Add support for proxy np.flatiter objects (#16107) @Matt711
• Ensure cudf objects can astype to any type when empty (#16106) @mroeschke
• Support pd.read_pickle and pd.to_pickle in cudf.pandas (#16105) @Matt711
• Fix unnecessarily strict check in parquet chunked reader for choosing split locations. (#16099) @nvdbaranec
• Fix is_monotonic_* APIs to include nan's (#16085) @galipremsagar
• More safely parse CUDA versions when subprocess output is contaminated (#16067) @brandon-b-miller
• fast_slow_proxy: Don't import assert_eq at top-level (#16063) @wence-
• Prevent bad ColumnAccessor state after .sort_index(axis=1, ignore_index=True) (#16061) @mroeschke
• Fix ArrowDeviceArray interface to pass address of event (#16058) @zeroshade
• Fix a size overflow bug in hash groupby (#16053) @PointKernel
• Fix atomic_ref scope when multiple blocks are updating the same output (#16051) @vuule
• Fix initialization error in to_arrow for empty string views (#16033) @wence-
• Fix the int32 overflow when computing page fragment sizes for large string columns (#16028) @mhaseeb123
• Fix the pool size alignment issue (#16024) @PointKernel
• Improve multibyte-split byte-range performance (#16019) @davidwendt
• Fix target counting in strings char-parallel replace (#16017) @davidwendt
• Support IntervalDtype in cudf.from_pandas (#16014) @mroeschke
• Fix memory size in create_byte_range_infos_consecutive (#16012) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Fix Cython typo preventing proper inheritance (#15978) @vyasr
• Fix convert_dtypes with convert_integer=False/convert_floating=True (#15964) @mroeschke
• Fix nunique for MultiIndex, DataFrame, and all NA case with dropna=False (#15962) @mroeschke
• Explicitly build for all GPU architectures (#15959) @vyasr
• Preserve column type and class information in more DataFrame operations (#15949) @mroeschke
• Add array_interface to cudf.pandas numpy.ndarray proxy (#15936) @mroeschke
• Allow tests to be built when stream util is disabled (#15933) @robertmaynard
• Fix JSON multi-source reading when total source size exceeds INT_MAX bytes (#15930) @shrshi
• Fix dask_cudf.read_parquet regression for legacy timestamp data (#15929) @rjzamora
• Fix offsetalator when accessing over 268 million rows (#15921) @davidwendt
• Fix debug assert in rowgroup_char_counts_kernel (#15902) @davidwendt
• Fix categorical conversion from chunked arrow arrays (#15886) @vyasr
• Handling for NaN and inf when converting floating point to fixed point types (#15885) @ttnghia
• Manual merge of Branch 24.08 from 24.06 (#15869) @galipremsagar
• Avoid unnecessary Index cast in IndexedFrame.index setter (#15843) @charlesbluca
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Fix multi-replace target count logic for large strings (#15807) @davidwendt
• Fix JSON parsing memory corruption - Fix Mixed types nested children removal (#15798) @karthikeyann
• Allow anonymous user in devcontainer name. (#15784) @bdice
• Add support for additional metaclasses of proxies and use for ExcelWriter (#15399) @vyasr

📖 Documentation

• Add docstring for from_dataframe (#16260) @mroeschke
• Update libcudf compiler requirements in contributing doc (#16103) @davidwendt
• Add libcudf public/detail API pattern to developer guide (#16086) @davidwendt
• Explain line profiler and how to know which functions are GPU-accelerated. (#16079) @bdice
• cudf.pandas documentation improvement (#15948) @Matt711
• Reland "Fix docs for IO readers and strings_convert" (#15872)" (#15941) @lithomas1
• Document how to use cudf.pandas in tandem with multiprocessing (#15940) @wence-
• DOC: Add documentation for cudf.pandas in the Developer Guide (#15889) @Matt711
• Improve options docs (#15888) @bdice
• DOC: add linkcode to docs (#15860) @raybellwaves
• DOC: use intersphinx mapping in pandas-compat ext (#15846) @raybellwaves
• Fix inconsistent usage of 'results' and 'records' in read-json.md (#15766) @dagardner-nv
• Update PandasCompat.py to resolve references (#15704) @raybellwaves

🚀 New Features

• Warn on cuDF failure when POLARS_VERBOSE is true (#16308) @brandon-b-miller
• Add drop_nulls in cudf-polars (#16290) @brandon-b-miller
• [JNI] Add setKernelPinnedCopyThreshold and setPinnedAllocationThreshold (#16288) @abellina
• Implement support for scan_ndjson in cudf-polars (#16263) @lithomas1
• Publish cudf-polars nightlies (#16213) @lithomas1
• Modify make_host_vector and make_device_uvector factories to optionally use pinned memory and kernel copy (#16206) @vuule
• Migrate lists/set_operations to pylibcudf (#16190) @Matt711
• Migrate lists/filling to pylibcudf (#16189) @Matt711
• Fall back to CPU for unsupported libcudf binaryops in cudf-polars (#16188) @brandon-b-miller
• Use resource_ref for upstream in stream_checking_resource_adaptor (#16187) @harrism
• Migrate lists/modifying to pylibcudf (#16185) @Matt711
• Migrate lists/filtering to pylibcudf (#16184) @Matt711
• Migrate lists/sorting to pylibcudf (#16179) @Matt711
• Add missing methods to lists/list_column_view.pxd in pylibcudf (#16175) @Matt711
• Migrate pylibcudf lists gathering (#16170) @Matt711
• Move kernel vis over to CUDF_HIDDEN (#16165) @robertmaynard
• Add groupby_max multi-threaded benchmark (#16154) @srinivasyadav18
• Promote has_nested_columns to cudf public API (#16131) @robertmaynard
• Promote IO support queries to cudf API (#16125) @robertmaynard
• cudf::merge public API now support passing a user stream (#16124) @robertmaynard
• Add TPC-H inspired examples for Libcudf (#16088) @JayjeetAtGithub
• Installed cudf header use cudf::allocate_like (#16087) @robertmaynard
• cudf-polars string slicing (#16082) @brandon-b-miller
• Migrate Parquet reader to pylibcudf (#16078) @lithomas1
• Migrate lists/count_elements to pylibcudf (#16072) @Matt711
• Migrate lists/extract to pylibcudf (#16071) @Matt711
• Move common string utilities to pu...

v24.06.01

🚨 Breaking Changes

• Deprecate Groupby.collect (#15808) @galipremsagar
• Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
• Support filtered I/O in chunked_parquet_reader and simplify the use of parquet_reader_options (#15764) @mhaseeb123
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Support DurationType in cudf parquet reader via arrow:schema (#15617) @mhaseeb123
• Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
• Remove legacy JSON reader from Python (#15538) @bdice
• Removing all batching code from parquet writer (#15528) @mhaseeb123
• Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
• Remove deprecated strings offsets_begin (#15454) @davidwendt
• Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
• Bind read_parquet_metadata API to libcudf instead of pyarrow and extract RowGroup information (#15398) @mhaseeb123
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
• Align date_range defaults with pandas, support tz (#15139) @mroeschke

🐛 Bug Fixes

• Backport: Use size_t to allow large conditional joins (#16127) (#16133) @bdice
• Backport #16045 to 24.06 (#16102) @vyasr
• Backport #16038 to 24.06 (#16101) @vyasr
• Backport: Fix segfault in conditional join (#16094) (#16100) @bdice
• Add patch for incorrect cuco noexcept clauses (#16077) @vyasr
• Revert "Fix docs for IO readers and strings_convert" (#15872) @vyasr
• Remove problematic call of index setter to unblock dask-cuda CI (#15844) @charlesbluca
• Use rapids_cpm_nvtx3 to get same nvtx3 target state as rmm (#15840) @robertmaynard
• Return boolean from config_host_memory_resource instead of throwing (#15815) @abellina
• Add temporary dask-cudf workaround for categorical sorting (#15801) @rjzamora
• Fix row group alignment in ORC writer (#15789) @vuule
• Raise error when sorting by categorical column in dask-cudf (#15788) @rjzamora
• Upgrade arrow to 16.1 (#15787) @galipremsagar
• Add support for PandasArray for pandas<2.1.0 (#15786) @galipremsagar
• Limit runtime dependency to libarrow>=16.0.0,<16.1.0a0 (#15782) @pentschev
• Fix cat.as_ordered not propogating correct size (#15780) @mroeschke
• Handle mixed-like homogeneous types in isin (#15771) @galipremsagar
• Fix id_vars and value_vars not accepting string scalars in melt (#15765) @mroeschke
• Fix DatetimeIndex.loc for all types of ordering cases (#15761) @galipremsagar
• Fix arrow versioning logic (#15755) @vyasr
• Avoid running sanitizer on Java test designed to cause an error (#15753) @jlowe
• Handle empty dataframe object with index present in setitem of loc (#15752) @galipremsagar
• Eliminate circular reference in DataFrame/Series.iloc/loc (#15749) @mroeschke
• Cap the absolute row index per pass in parquet chunked reader. (#15735) @nvdbaranec
• Fix Index.repeat for datetime64 types (#15722) @galipremsagar
• Fix multibyte check for case convert for large strings (#15721) @davidwendt
• Fix get_loc to properly fetch results from an index that is in decreasing order (#15719) @galipremsagar
• Return same type as the original index for .loc operations (#15717) @galipremsagar
• Correct static builds + static arrow (#15715) @robertmaynard
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Fix ColumnAccessor caching of nrows if empty previously (#15710) @mroeschke
• Allow None when nan_as_null=False in column constructor (#15709) @galipremsagar
• Refine CudaTest.testCudaException in case throwing wrong type of CudaError under aarch64 (#15706) @sperlingxx
• Fix maxima of categorical column (#15701) @rjzamora
• Add proxy for inplace operations in cudf.pandas (#15695) @galipremsagar
• Make nan_as_null behavior consistent across all APIs (#15692) @galipremsagar
• Fix CI s3 api command to fetch latest results (#15687) @galipremsagar
• Add NumpyExtensionArray proxy type in cudf.pandas (#15686) @galipremsagar
• Properly implement binaryops for proxy types (#15684) @galipremsagar
• Fix copy assignment and the comparison operator of rmm_host_allocator (#15677) @vuule
• Fix multi-source reading in JSON byte range reader (#15671) @shrshi
• Return int64 when pandas compatible mode is turned on for get_indexer (#15659) @galipremsagar
• Fix Index contains for error validations and float vs int comparisons (#15657) @galipremsagar
• Preserve sub-second data for time scalars in column construction (#15655) @galipremsagar
• Check row limit size in cudf::strings::join_strings (#15643) @davidwendt
• Enable sorting on column with nulls using query-planning (#15639) @rjzamora
• Fix operator precedence problem in Parquet reader (#15638) @etseidl
• Fix decoding of dictionary encoded FIXED_LEN_BYTE_ARRAY data in Parquet reader (#15601) @etseidl
• Fix debug warnings/errors in from_arrow_device_test.cpp (#15596) @davidwendt
• Add "collect" aggregation support to dask-cudf (#15593) @rjzamora
• Fix categorical-accessor support and testing in dask-cudf (#15591) @rjzamora
• Disable compute-sanitizer usage in CI tests with CUDA<11.6 (#15584) @davidwendt
• Preserve RangeIndex.step in to_arrow/from_arrow (#15581) @mroeschke
• Ignore new cupy warning (#15574) @vyasr
• Add cuda-sanitizer-api dependency for test-cpp matrix 11.4 (#15573) @davidwendt
• Allow apply udf to reference global modules in cudf.pandas (#15569) @mroeschke
• Fix deprecation warnings for json legacy reader (#15563) @davidwendt
• Fix millisecond resampling in cudf Python (#15560) @mroeschke
• Rename JSON_READER_OPTION to JSON_READER_OPTION_NVBENCH. (#15553) @bdice
• Fix a JNI bug in JSON parsing fixup (#15550) @revans2
• Remove conda channel setup from wheel CI image script. (#15539) @bdice
• cudf.pandas: Series dt accessor is CombinedDatetimelikeProperties (#15523) @wence-
• Fix for some compiler warnings in parquet/page_decode.cuh (#15518) @etseidl
• Fix exponent overflow in strings-to-double conversion (#15517) @davidwendt
• nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
• Remove index name overrides in dask-cudf pyarrow table dispatch (#15514) @charlesbluca
• Fix async synchronization issues in json_column.cu (#15497) @karthikeyann
• Add new patch to hide more CCCL APIs (#15493) @vyasr
• Make improvements in pandas-test reporting (#15485) @galipremsagar
• Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
• Only use data_type constructor with scale for decimal types (#15472) @wence-
• Avoid "p2p" shuffle as a default when dask_cudf is imported (#15469) @rjzamora
• Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
• Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
• Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
• Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
• Handle case of scan aggregation in groupby-transform (#15450) @wence-
• Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
• Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
• Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
• Support implicit array conversion with query-planning enabled (#15378) @rjzamora
• Fix arrow-based round trip of empty dataframes (#15373) @wence-
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• Remove boundscheck=False setting in cython files (#15362) @wence-
• Patch dask-expr var logic in dask-cudf (#15347) @rjzamora
• Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
• Disable dask-expr in docs builds. (#15343) @bdice
• Apply the cuFile error work around to data_sink as well (#15335) @vuule
• Fix parquet predicate filtering with column projection (#15113) @karthikeyann
• Check column type equality, handling nested types correctly. (#14531) @bdice

📖 Documentation

• Fix docs for IO readers and strings_convert (#15842) @bdice
• Update cudf.pandas docs for GA (#15744) @beckernick
• Add contributing warning about circular imports (#15691) @er-eis
• Update libcudf developer guide for strings offsets column (#15661) @davidwendt
• Update developer guide with device_async_resource_ref guidelines (#15562) @harrism
• DOC: add pandas intersphinx mapping (#15531) @raybellwaves
• rm-dup-doc in frame.py (#15530) @raybellwaves
• Update CONTRIBUTING.md to use latest cuda env (#15467) @raybellwaves
• Doc: interleave columns pandas compat (#15383) @raybellwaves
• Simplified README Examples (#15338) @wkaisertexas
• Add debug tips section to libcudf developer guide (#15329) @davidwendt
• Fix and clarify notes on result ordering (#13255) @shwina

🚀 New Features

• Add JNI bindings for zstd compression of NVCOMP. (#15729) @firestarman
• Fix spaces around CSV quoted strings (#15727) @thabetx
• Add default pinned pool that falls back to new pinned allocations (#15665) @vuule
• Overhaul ops-codeowners coverage (#15660) @raydouglass
• Concatenate dictionary of objects along axis=1 (#15623) @er-eis
• Construct pylibcudf columns from objects supporting __cuda_array_interface__ (#15615) @brandon-b-miller
• Expose some Parquet per-column configuration options via the python API (#15613) @etseidl
• Migrate string find operations to pylibcudf (#15604) @brandon-b-miller
• Round trip FIXED_LEN_BYTE_ARRAY data properly in Parquet writer (#15600) @etseidl
• Reading multi-line JSON in string columns using runtime configurable delimiter (#15556) @shrshi
• Remove p...

v24.06.00

🚨 Breaking Changes

• Deprecate Groupby.collect (#15808) @galipremsagar
• Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
• Support filtered I/O in chunked_parquet_reader and simplify the use of parquet_reader_options (#15764) @mhaseeb123
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Support DurationType in cudf parquet reader via arrow:schema (#15617) @mhaseeb123
• Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
• Remove legacy JSON reader from Python (#15538) @bdice
• Removing all batching code from parquet writer (#15528) @mhaseeb123
• Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
• Remove deprecated strings offsets_begin (#15454) @davidwendt
• Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
• Bind read_parquet_metadata API to libcudf instead of pyarrow and extract RowGroup information (#15398) @mhaseeb123
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
• Align date_range defaults with pandas, support tz (#15139) @mroeschke

🐛 Bug Fixes

• Revert "Fix docs for IO readers and strings_convert" (#15872) @vyasr
• Remove problematic call of index setter to unblock dask-cuda CI (#15844) @charlesbluca
• Use rapids_cpm_nvtx3 to get same nvtx3 target state as rmm (#15840) @robertmaynard
• Return boolean from config_host_memory_resource instead of throwing (#15815) @abellina
• Add temporary dask-cudf workaround for categorical sorting (#15801) @rjzamora
• Fix row group alignment in ORC writer (#15789) @vuule
• Raise error when sorting by categorical column in dask-cudf (#15788) @rjzamora
• Upgrade arrow to 16.1 (#15787) @galipremsagar
• Add support for PandasArray for pandas<2.1.0 (#15786) @galipremsagar
• Limit runtime dependency to libarrow>=16.0.0,<16.1.0a0 (#15782) @pentschev
• Fix cat.as_ordered not propogating correct size (#15780) @mroeschke
• Handle mixed-like homogeneous types in isin (#15771) @galipremsagar
• Fix id_vars and value_vars not accepting string scalars in melt (#15765) @mroeschke
• Fix DatetimeIndex.loc for all types of ordering cases (#15761) @galipremsagar
• Fix arrow versioning logic (#15755) @vyasr
• Avoid running sanitizer on Java test designed to cause an error (#15753) @jlowe
• Handle empty dataframe object with index present in setitem of loc (#15752) @galipremsagar
• Eliminate circular reference in DataFrame/Series.iloc/loc (#15749) @mroeschke
• Cap the absolute row index per pass in parquet chunked reader. (#15735) @nvdbaranec
• Fix Index.repeat for datetime64 types (#15722) @galipremsagar
• Fix multibyte check for case convert for large strings (#15721) @davidwendt
• Fix get_loc to properly fetch results from an index that is in decreasing order (#15719) @galipremsagar
• Return same type as the original index for .loc operations (#15717) @galipremsagar
• Correct static builds + static arrow (#15715) @robertmaynard
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Fix ColumnAccessor caching of nrows if empty previously (#15710) @mroeschke
• Allow None when nan_as_null=False in column constructor (#15709) @galipremsagar
• Refine CudaTest.testCudaException in case throwing wrong type of CudaError under aarch64 (#15706) @sperlingxx
• Fix maxima of categorical column (#15701) @rjzamora
• Add proxy for inplace operations in cudf.pandas (#15695) @galipremsagar
• Make nan_as_null behavior consistent across all APIs (#15692) @galipremsagar
• Fix CI s3 api command to fetch latest results (#15687) @galipremsagar
• Add NumpyExtensionArray proxy type in cudf.pandas (#15686) @galipremsagar
• Properly implement binaryops for proxy types (#15684) @galipremsagar
• Fix copy assignment and the comparison operator of rmm_host_allocator (#15677) @vuule
• Fix multi-source reading in JSON byte range reader (#15671) @shrshi
• Return int64 when pandas compatible mode is turned on for get_indexer (#15659) @galipremsagar
• Fix Index contains for error validations and float vs int comparisons (#15657) @galipremsagar
• Preserve sub-second data for time scalars in column construction (#15655) @galipremsagar
• Check row limit size in cudf::strings::join_strings (#15643) @davidwendt
• Enable sorting on column with nulls using query-planning (#15639) @rjzamora
• Fix operator precedence problem in Parquet reader (#15638) @etseidl
• Fix decoding of dictionary encoded FIXED_LEN_BYTE_ARRAY data in Parquet reader (#15601) @etseidl
• Fix debug warnings/errors in from_arrow_device_test.cpp (#15596) @davidwendt
• Add "collect" aggregation support to dask-cudf (#15593) @rjzamora
• Fix categorical-accessor support and testing in dask-cudf (#15591) @rjzamora
• Disable compute-sanitizer usage in CI tests with CUDA<11.6 (#15584) @davidwendt
• Preserve RangeIndex.step in to_arrow/from_arrow (#15581) @mroeschke
• Ignore new cupy warning (#15574) @vyasr
• Add cuda-sanitizer-api dependency for test-cpp matrix 11.4 (#15573) @davidwendt
• Allow apply udf to reference global modules in cudf.pandas (#15569) @mroeschke
• Fix deprecation warnings for json legacy reader (#15563) @davidwendt
• Fix millisecond resampling in cudf Python (#15560) @mroeschke
• Rename JSON_READER_OPTION to JSON_READER_OPTION_NVBENCH. (#15553) @bdice
• Fix a JNI bug in JSON parsing fixup (#15550) @revans2
• Remove conda channel setup from wheel CI image script. (#15539) @bdice
• cudf.pandas: Series dt accessor is CombinedDatetimelikeProperties (#15523) @wence-
• Fix for some compiler warnings in parquet/page_decode.cuh (#15518) @etseidl
• Fix exponent overflow in strings-to-double conversion (#15517) @davidwendt
• nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
• Remove index name overrides in dask-cudf pyarrow table dispatch (#15514) @charlesbluca
• Fix async synchronization issues in json_column.cu (#15497) @karthikeyann
• Add new patch to hide more CCCL APIs (#15493) @vyasr
• Make improvements in pandas-test reporting (#15485) @galipremsagar
• Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
• Only use data_type constructor with scale for decimal types (#15472) @wence-
• Avoid "p2p" shuffle as a default when dask_cudf is imported (#15469) @rjzamora
• Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
• Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
• Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
• Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
• Handle case of scan aggregation in groupby-transform (#15450) @wence-
• Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
• Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
• Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
• Support implicit array conversion with query-planning enabled (#15378) @rjzamora
• Fix arrow-based round trip of empty dataframes (#15373) @wence-
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• Remove boundscheck=False setting in cython files (#15362) @wence-
• Patch dask-expr var logic in dask-cudf (#15347) @rjzamora
• Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
• Disable dask-expr in docs builds. (#15343) @bdice
• Apply the cuFile error work around to data_sink as well (#15335) @vuule
• Fix parquet predicate filtering with column projection (#15113) @karthikeyann
• Check column type equality, handling nested types correctly. (#14531) @bdice

📖 Documentation

• Fix docs for IO readers and strings_convert (#15842) @bdice
• Update cudf.pandas docs for GA (#15744) @beckernick
• Add contributing warning about circular imports (#15691) @er-eis
• Update libcudf developer guide for strings offsets column (#15661) @davidwendt
• Update developer guide with device_async_resource_ref guidelines (#15562) @harrism
• DOC: add pandas intersphinx mapping (#15531) @raybellwaves
• rm-dup-doc in frame.py (#15530) @raybellwaves
• Update CONTRIBUTING.md to use latest cuda env (#15467) @raybellwaves
• Doc: interleave columns pandas compat (#15383) @raybellwaves
• Simplified README Examples (#15338) @wkaisertexas
• Add debug tips section to libcudf developer guide (#15329) @davidwendt
• Fix and clarify notes on result ordering (#13255) @shwina

🚀 New Features

• Add JNI bindings for zstd compression of NVCOMP. (#15729) @firestarman
• Fix spaces around CSV quoted strings (#15727) @thabetx
• Add default pinned pool that falls back to new pinned allocations (#15665) @vuule
• Overhaul ops-codeowners coverage (#15660) @raydouglass
• Concatenate dictionary of objects along axis=1 (#15623) @er-eis
• Construct pylibcudf columns from objects supporting __cuda_array_interface__ (#15615) @brandon-b-miller
• Expose some Parquet per-column configuration options via the python API (#15613) @etseidl
• Migrate string find operations to pylibcudf (#15604) @brandon-b-miller
• Round trip FIXED_LEN_BYTE_ARRAY data properly in Parquet writer (#15600) @etseidl
• Reading multi-line JSON in string columns using runtime configurable delimiter (#15556) @shrshi
• Remove public gtest dependency from libcudf conda package (#15534) @robertmaynard
• Fea/move to latest nanoarrow (#15526) @robertmaynard
• Migrate string case operations to pylibcudf (#15489) @brandon-b-miller
• Add Parquet encoding statistics to column chunk metadata (#15452) @etseidl
• Implement JNI fo...

[NIGHTLY] v24.08.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Align Index init APIs with pandas 2.x (#16362) @mroeschke
• Align Series APIs with pandas 2.x (#16333) @mroeschke
• Add missing stream param to dictionary factory APIs (#16319) @JayjeetAtGithub
• Deprecate dtype= parameter in reduction methods (#16313) @mroeschke
• Remove squeeze argument from groupby (#16312) @mroeschke
• Align more DataFrame APIs with pandas (#16310) @mroeschke
• Remove mr param from write_csv and write_json (#16231) @JayjeetAtGithub
• Report number of rows per file read by PQ reader when no row selection and fix segfault in chunked PQ reader when skip_rows > 0 (#16195) @mhaseeb123
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• Deprecate Arrow support in I/O (#16132) @lithomas1
• Return FrozenList for Index.names (#16047) @galipremsagar
• Add compile option to enable large strings support (#16037) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Rename strings multiple target replace API (#15898) @davidwendt
• Pinned vector factory that uses the global pool (#15895) @vuule
• Apply clang-tidy autofixes (#15894) @vyasr
• Support arrow:schema in Parquet writer to faithfully roundtrip duration types with Arrow (#15875) @mhaseeb123
• Expose stream parameter to public rolling APIs (#15865) @srinivasyadav18
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Remove legacy JSON reader and concurrent_unordered_map.cuh. (#15813) @bdice

🐛 Bug Fixes

• Ensure managed memory is supported in cudf.pandas. (#16552) @bdice
• Add flatbuffers to libcudf build (#16446) @galipremsagar
• Fix parquet_field_list read_func lambda capture invalid this pointer (#16440) @davidwendt
• Enable prefetching in cudf.pandas.install() (#16439) @bdice
• Enable prefetching before runpy (#16427) @galipremsagar
• Support thread-safe for prefetch_config::get and prefetch_config::set (#16425) @ttnghia
• Fix a pandas-2.0 missing attribute error (#16416) @galipremsagar
• [Bug] Remove loud NativeFile deprecation noise for read_parquet from S3 (#16415) @rjzamora
• Fix nightly memcheck error for empty STREAM_INTEROP_TEST (#16406) @davidwendt
• Gate ArrowStringArrayNumpySemantics cudf.pandas proxy behind version check (#16401) @mroeschke
• Don't export bs_thread_pool (#16398) @KyleFromNVIDIA
• Require fixed width types for casting in cudf-polars (#16381) @brandon-b-miller
• Fix docstring of DataFrame.apply (#16351) @galipremsagar
• Make bool raise for more cudf objects (#16311) @mroeschke
• Rename .devcontainers for CUDA 12.5 (#16293) @jakirkham
• Fix split_record for all empty strings column (#16291) @davidwendt
• Fix logic in to_arrow for empty list column (#16279) @wence-
• [BUG] Make name attr of Index fast slow attrs (#16270) @Matt711
• Add custom name setter and getter for proxy objects in cudf.pandas (#16234) @Matt711
• Fall back when casting a timestamp to numeric in cudf-polars (#16232) @brandon-b-miller
• Disable large string support for Java build (#16216) @jlowe
• Remove CCCL patch for PR 211. (#16207) @bdice
• Add single offset to an empty ListArray in cudf::to_arrow (#16201) @davidwendt
• Fix memory_usage when calculating nested list column (#16193) @mroeschke
• Support at/iat indexers in cudf.pandas (#16177) @mroeschke
• Fix unused-return-value debug build error in from_arrow_stream_test.cpp (#16168) @davidwendt
• Fix cudf::strings::replace_multiple hang on empty target (#16167) @davidwendt
• Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
• interpolate returns new column if no values are interpolated (#16158) @mroeschke
• Use provided memory resource for allocating mixed join results. (#16153) @bdice
• Run DFG after verify-alpha-spec (#16151) @KyleFromNVIDIA
• Use size_t to allow large conditional joins (#16127) @bdice
• Allow only scale=0 fixed-point values in fixed_width_column_wrapper (#16120) @davidwendt
• Fix pylibcudf Table.num_rows for 0 columns case and add interop to docs (#16108) @lithomas1
• Add support for proxy np.flatiter objects (#16107) @Matt711
• Ensure cudf objects can astype to any type when empty (#16106) @mroeschke
• Support pd.read_pickle and pd.to_pickle in cudf.pandas (#16105) @Matt711
• Fix unnecessarily strict check in parquet chunked reader for choosing split locations. (#16099) @nvdbaranec
• Fix is_monotonic_* APIs to include nan's (#16085) @galipremsagar
• More safely parse CUDA versions when subprocess output is contaminated (#16067) @brandon-b-miller
• fast_slow_proxy: Don't import assert_eq at top-level (#16063) @wence-
• Prevent bad ColumnAccessor state after .sort_index(axis=1, ignore_index=True) (#16061) @mroeschke
• Fix ArrowDeviceArray interface to pass address of event (#16058) @zeroshade
• Fix a size overflow bug in hash groupby (#16053) @PointKernel
• Fix atomic_ref scope when multiple blocks are updating the same output (#16051) @vuule
• Fix initialization error in to_arrow for empty string views (#16033) @wence-
• Fix the int32 overflow when computing page fragment sizes for large string columns (#16028) @mhaseeb123
• Fix the pool size alignment issue (#16024) @PointKernel
• Improve multibyte-split byte-range performance (#16019) @davidwendt
• Fix target counting in strings char-parallel replace (#16017) @davidwendt
• Support IntervalDtype in cudf.from_pandas (#16014) @mroeschke
• Fix memory size in create_byte_range_infos_consecutive (#16012) @davidwendt
• Hide visibility of non public symbols (#15982) @robertmaynard
• Fix Cython typo preventing proper inheritance (#15978) @vyasr
• Fix convert_dtypes with convert_integer=False/convert_floating=True (#15964) @mroeschke
• Fix nunique for MultiIndex, DataFrame, and all NA case with dropna=False (#15962) @mroeschke
• Explicitly build for all GPU architectures (#15959) @vyasr
• Preserve column type and class information in more DataFrame operations (#15949) @mroeschke
• Add array_interface to cudf.pandas numpy.ndarray proxy (#15936) @mroeschke
• Allow tests to be built when stream util is disabled (#15933) @robertmaynard
• Fix JSON multi-source reading when total source size exceeds INT_MAX bytes (#15930) @shrshi
• Fix dask_cudf.read_parquet regression for legacy timestamp data (#15929) @rjzamora
• Fix offsetalator when accessing over 268 million rows (#15921) @davidwendt
• Fix debug assert in rowgroup_char_counts_kernel (#15902) @davidwendt
• Fix categorical conversion from chunked arrow arrays (#15886) @vyasr
• Handling for NaN and inf when converting floating point to fixed point types (#15885) @ttnghia
• Manual merge of Branch 24.08 from 24.06 (#15869) @galipremsagar
• Avoid unnecessary Index cast in IndexedFrame.index setter (#15843) @charlesbluca
• Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
• Fix multi-replace target count logic for large strings (#15807) @davidwendt
• Fix JSON parsing memory corruption - Fix Mixed types nested children removal (#15798) @karthikeyann
• Allow anonymous user in devcontainer name. (#15784) @bdice
• Add support for additional metaclasses of proxies and use for ExcelWriter (#15399) @vyasr

📖 Documentation

• Improve Polars docs (#16820) @bdice
• Add docstring for from_dataframe (#16260) @mroeschke
• Update libcudf compiler requirements in contributing doc (#16103) @davidwendt
• Add libcudf public/detail API pattern to developer guide (#16086) @davidwendt
• Explain line profiler and how to know which functions are GPU-accelerated. (#16079) @bdice
• cudf.pandas documentation improvement (#15948) @Matt711
• Reland "Fix docs for IO readers and strings_convert" (#15872)" (#15941) @lithomas1
• Document how to use cudf.pandas in tandem with multiprocessing (#15940) @wence-
• DOC: Add documentation for cudf.pandas in the Developer Guide (#15889) @Matt711
• Improve options docs (#15888) @bdice
• DOC: add linkcode to docs (#15860) @raybellwaves
• DOC: use intersphinx mapping in pandas-compat ext (#15846) @raybellwaves
• Fix inconsistent usage of 'results' and 'records' in read-json.md (#15766) @dagardner-nv
• Update PandasCompat.py to resolve references (#15704) @raybellwaves

🚀 New Features

• Creation of CI artifacts for cudf-polars wheels (#16680) @wence-
• Warn on cuDF failure when POLARS_VERBOSE is true (#16308) @brandon-b-miller
• Add drop_nulls in cudf-polars (#16290) @brandon-b-miller
• [JNI] Add setKernelPinnedCopyThreshold and setPinnedAllocationThreshold (#16288) @abellina
• Implement support for scan_ndjson in cudf-polars (#16263) @lithomas1
• Publish cudf-polars nightlies (#16213) @lithomas1
• Modify make_host_vector and make_device_uvector factories to optionally use pinned memory and kernel copy (#16206) @vuule
• Migrate lists/set_operations to pylibcudf (#16190) @Matt711
• Migrate lists/filling to pylibcudf (#16189) @Matt711
• Fall back to CPU for unsupported libcudf binaryops in cudf-polars (#16188) @brandon-b-miller
• Use resource_ref for upstream in stream_checking_resource_adaptor (#16187) @harrism
• Migrate lists/modifying to pylibcudf (#16185) @Matt711
• Migrate lists/filtering to pylibcudf (#16184) @Matt711
• Migrate lists/sorting to pylibcudf (#16179) @Matt711
• Add missing methods to lists/list_column_view.pxd in pylibcudf (#16175) @Matt711
• Migrate pylibcudf lists gathering (#16170) @Matt711
• Move kernel vis over to CUDF_HIDDEN (#16165) @robertmaynard
• Add groupby_max multi-threaded benchmark (#16154) @srinivasyadav18
• Promote has_nested_columns to cudf public API (#16131) @robertmaynard
• Promote IO support queries to cudf API (#16125) @robertmaynard
• cudf::merge public API now support passing a user stream (#16124) @robertmaynard
• Add TPC-H inspired examples for Libcudf (#16088) @ja...

v24.04.01

🚨 Breaking Changes

• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Change strings_column_view::char_size to return int64 (#15197) @davidwendt
• Upgrade to arrow-14.0.2 (#15108) @galipremsagar
• Add support for pandas-2.2 in cudf (#15100) @galipremsagar
• Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
• Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Deprecate groupby fillna (#15000) @mroeschke
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
• Add pandas-2.x support in cudf (#14916) @galipremsagar
• Use cuco::static_set in the hash-based groupby (#14813) @PointKernel

🐛 Bug Fixes

• Fix an issue with creating a series from scalar when dtype='category' (#15476) @galipremsagar
• Update pre-commit-hooks to v0.0.3 (#15355) @KyleFromNVIDIA
• [BUG][JNI] Trigger MemoryBuffer.onClosed after memory is freed (#15351) @abellina
• Fix an issue with multiple short list rowgroups using the Parquet chunked reader. (#15342) @nvdbaranec
• Avoid importing dask-expr if "query-planning" config is False (#15340) @rjzamora
• Fix gtests/ERROR_TEST errors when run in Debug (#15317) @davidwendt
• Fix OOB read in inflate_kernel (#15309) @vuule
• Work around a cuFile error when running CSV tests with memcheck (#15293) @vuule
• Fix Doxygen upload directory (#15291) @KyleFromNVIDIA
• Fix Doxygen check (#15289) @KyleFromNVIDIA
• Reintroduce PANDAS_GE_220 import (#15287) @wence-
• Fix mean computation for the geometric distribution in the data generator (#15282) @vuule
• Fix Parquet decimal64 stats (#15281) @etseidl
• Make linking of nvtx3-cpp BUILD_LOCAL_INTERFACE (#15271) @KyleFromNVIDIA
• Workaround compute-sanitizer memcheck bug (#15259) @davidwendt
• Cleanup hostdevice_vector and add more APIs (#15252) @ttnghia
• Fix number of rows in randomly generated lists columns (#15248) @vuule
• Fix wrong output for collect_list/collect_set of lists column (#15243) @ttnghia
• Fix testchunkedPackTwoPasses to copy from the bounce buffer (#15220) @abellina
• Fix accessing .columns by an external API (#15212) @galipremsagar
• [JNI] Disable testChunkedPackTwoPasses for now (#15210) @abellina
• Update labeler and codeowner configs for CMake files (#15208) @PointKernel
• Avoid dict normalization in __dask_tokenize__ (#15187) @rjzamora
• Fix memcheck error in distinct inner join (#15164) @PointKernel
• Remove unneeded script parameters in test_cpp_memcheck.sh (#15158) @davidwendt
• Fix ListColumn.to_pandas() to retain list type (#15155) @galipremsagar
• Avoid factorization in MultiIndex.to_pandas (#15150) @mroeschke
• Fix GroupBy.get_group and GroupBy.indices (#15143) @wence-
• Remove const from range_window_bounds::_extent. (#15138) @mythrocks
• DataFrame.columns = ... retains RangeIndex & set dtype (#15129) @mroeschke
• Correctly handle output for GroupBy.apply when chunk results are reindexed series (#15109) @brandon-b-miller
• Fix Series.groupby.shift with a MultiIndex (#15098) @mroeschke
• Fix reductions when DataFrame has MulitIndex columns (#15097) @mroeschke
• Fix deprecation warnings for deprecated hash() calls (#15095) @davidwendt
• Add support for arrow large_string in cudf (#15093) @galipremsagar
• Fix sort_values pytest failure with pandas-2.x regression (#15092) @galipremsagar
• Resolve path parsing issues in get_json_object (#15082) @SurajAralihalli
• Fix bugs in handling of delta encodings (#15075) @etseidl
• Fix is_device_write_preferred in void_sink and user_sink_wrapper (#15064) @vuule
• Eliminate duplicate allocation of nested string columns (#15061) @vuule
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Fix Index.difference to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
• Fix DataFrame.sort_index to respect ignore_index on all axis (#14995) @galipremsagar
• Raise for pyarrow array that is tz-aware (#14980) @mroeschke
• Direct SeriesGroupBy.aggregate to SeriesGroupBy.agg (#14971) @rjzamora
• Respect IntervalDtype and CategoricalDtype objects passed by users (#14961) @mroeschke
• unset CUDF_SPILL after a pytest (#14958) @galipremsagar
• Fix Null literals to be not parsed as string when mixed types as string is enabled in JSON reader (#14939) @karthikeyann
• Fix chunked reads of Parquet delta encoded pages (#14921) @etseidl
• Fix reading offset for data stream in ORC reader (#14911) @ttnghia
• Enable sanitizer check for a test case testORCReadAndWriteForDecimal128 (#14897) @res-life
• Fix dask token normalization (#14829) @rjzamora
• Fix 24.04 versions (#14825) @raydouglass
• Ensure slow private attrs are maybe proxies (#14380) @mroeschke

📖 Documentation

• Ignore DLManagedTensor in the docs build (#15392) @davidwendt
• Revert "Temporarily disable docs errors. (#15265)" (#15269) @bdice
• Temporarily disable docs errors. (#15265) @bdice
• Update developer_guide.md with new guidance on quoted internal includes (#15238) @harrism
• Fix broken link for developer guide (#15025) @sanjana098
• [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
• Update cudf.pandas FAQ. (#14940) @bdice
• Optimize doc builds (#14856) @vyasr
• Add developer guideline to use east const. (#14836) @bdice
• Document how cuDF is pronounced (#14753) @pentschev
• Notes convert to Pandas-compat (#12641) @Touutae-lab

🚀 New Features

• Address inconsistency in single quote normalization in JSON reader (#15324) @shrshi
• Use JNI pinned pool resource with cuIO (#15255) @abellina
• Add DELTA_BYTE_ARRAY encoder for Parquet (#15239) @etseidl
• Migrate filling operations to pylibcudf (#15225) @brandon-b-miller
• [JNI] rmm based pinned pool (#15219) @abellina
• Implement zero-copy host buffer source instead of using an arrow implementation (#15189) @vuule
• Enable creation of columns from scalar (#15181) @vyasr
• Use NVTX from GitHub. (#15178) @bdice
• Implement segmented_row_bit_count for computing row sizes by segments of rows (#15169) @ttnghia
• Implement search using pylibcudf (#15166) @vyasr
• Add distinct left join (#15149) @PointKernel
• Add cardinality control for groupby benchs with flat types (#15134) @PointKernel
• Add ability to request Parquet encodings on a per-column basis (#15081) @etseidl
• Automate include grouping order in .clang-format (#15063) @harrism
• Requesting a clean build directory also clears Jitify cache (#15052) @robertmaynard
• API for JSON unquoted whitespace normalization (#15033) @shrshi
• Implement concatenate, lists.explode, merge, sorting, and stream compaction in pylibcudf (#15011) @vyasr
• Implement replace in pylibcudf (#15005) @vyasr
• Add distinct key inner join (#14990) @PointKernel
• Implement rolling in pylibcudf (#14982) @vyasr
• Implement joins in pylibcudf (#14972) @vyasr
• Implement scans and reductions in pylibcudf (#14970) @vyasr
• Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
• Implement groupby in pylibcudf (#14945) @vyasr
• Support casting of Map type to string in JSON reader (#14936) @karthikeyann
• POC for whitespace removal in input JSON data using FST (#14931) @shrshi
• Support for LZ4 compression in ORC and Parquet (#14906) @vuule
• Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
• Migrate unary operations to pylibcudf (#14850) @vyasr
• Migrate binary operations to pylibcudf (#14821) @vyasr
• Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
• Support CUDA 12.2 (#14712) @jameslamb

🛠️ Improvements

• Backport: Relax protobuf lower bound to 3.20. (#15506) (#15610) @bdice
• Use conda env create --yes instead of --force (#15403) @bdice
• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Enable branch testing for cudf.pandas (#15316) @galipremsagar
• Replace black with ruff-format (#15312) @mroeschke
• This fixes an NPE when trying to read empty JSON data by adding a new API for missing information (#15307) @revans2
• Address poor performance of Parquet string decoding (#15304) @etseidl
• Update script input name (#15301) @AyodeAwe
• Make test_read_parquet_partitioned_filtered data deterministic (#15296) @mroeschke
• Add timeout for cudf.pandas pandas tests (#15284) @galipremsagar
• Add upper bound to prevent usage of NumPy 2 (#15283) @bdice
• Fix cudf::test::to_host return of host_vector (#15263) @davidwendt
• Implement grouped product scan (#15254) @wence-
• Add CUDA 12.4 to supported PTX versions (#15247) @brandon-b-miller
• Implement DataFrame|Series.squeeze (#15244) @mroeschke
• Roll back ipow changes due to register pressure. (#15242) @pmattione-nvidia
• Remove create_chars_child_column utility (#15241) @davidwendt
• Update dlpack to version 0.8 (#15237) @dantegd
• Improve performance in JSON reader when mixed_types_as_string option is enabled (#15236) @shrshi
• Remove row conversion code from libcudf (#15234) @ttnghia
• Use variable substitution for RAPIDS version in Doxyfile (#15231) @KyleFromNVIDIA
• Add ListColumns.to_pandas(arrow_type=) (#15228) @mroeSC...

v24.04.00

🚨 Breaking Changes

• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Change strings_column_view::char_size to return int64 (#15197) @davidwendt
• Upgrade to arrow-14.0.2 (#15108) @galipremsagar
• Add support for pandas-2.2 in cudf (#15100) @galipremsagar
• Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
• Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Deprecate groupby fillna (#15000) @mroeschke
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
• Add pandas-2.x support in cudf (#14916) @galipremsagar
• Use cuco::static_set in the hash-based groupby (#14813) @PointKernel

🐛 Bug Fixes

• Fix an issue with creating a series from scalar when dtype='category' (#15476) @galipremsagar
• Update pre-commit-hooks to v0.0.3 (#15355) @KyleFromNVIDIA
• [BUG][JNI] Trigger MemoryBuffer.onClosed after memory is freed (#15351) @abellina
• Fix an issue with multiple short list rowgroups using the Parquet chunked reader. (#15342) @nvdbaranec
• Avoid importing dask-expr if "query-planning" config is False (#15340) @rjzamora
• Fix gtests/ERROR_TEST errors when run in Debug (#15317) @davidwendt
• Fix OOB read in inflate_kernel (#15309) @vuule
• Work around a cuFile error when running CSV tests with memcheck (#15293) @vuule
• Fix Doxygen upload directory (#15291) @KyleFromNVIDIA
• Fix Doxygen check (#15289) @KyleFromNVIDIA
• Reintroduce PANDAS_GE_220 import (#15287) @wence-
• Fix mean computation for the geometric distribution in the data generator (#15282) @vuule
• Fix Parquet decimal64 stats (#15281) @etseidl
• Make linking of nvtx3-cpp BUILD_LOCAL_INTERFACE (#15271) @KyleFromNVIDIA
• Workaround compute-sanitizer memcheck bug (#15259) @davidwendt
• Cleanup hostdevice_vector and add more APIs (#15252) @ttnghia
• Fix number of rows in randomly generated lists columns (#15248) @vuule
• Fix wrong output for collect_list/collect_set of lists column (#15243) @ttnghia
• Fix testchunkedPackTwoPasses to copy from the bounce buffer (#15220) @abellina
• Fix accessing .columns by an external API (#15212) @galipremsagar
• [JNI] Disable testChunkedPackTwoPasses for now (#15210) @abellina
• Update labeler and codeowner configs for CMake files (#15208) @PointKernel
• Avoid dict normalization in __dask_tokenize__ (#15187) @rjzamora
• Fix memcheck error in distinct inner join (#15164) @PointKernel
• Remove unneeded script parameters in test_cpp_memcheck.sh (#15158) @davidwendt
• Fix ListColumn.to_pandas() to retain list type (#15155) @galipremsagar
• Avoid factorization in MultiIndex.to_pandas (#15150) @mroeschke
• Fix GroupBy.get_group and GroupBy.indices (#15143) @wence-
• Remove const from range_window_bounds::_extent. (#15138) @mythrocks
• DataFrame.columns = ... retains RangeIndex & set dtype (#15129) @mroeschke
• Correctly handle output for GroupBy.apply when chunk results are reindexed series (#15109) @brandon-b-miller
• Fix Series.groupby.shift with a MultiIndex (#15098) @mroeschke
• Fix reductions when DataFrame has MulitIndex columns (#15097) @mroeschke
• Fix deprecation warnings for deprecated hash() calls (#15095) @davidwendt
• Add support for arrow large_string in cudf (#15093) @galipremsagar
• Fix sort_values pytest failure with pandas-2.x regression (#15092) @galipremsagar
• Resolve path parsing issues in get_json_object (#15082) @SurajAralihalli
• Fix bugs in handling of delta encodings (#15075) @etseidl
• Fix is_device_write_preferred in void_sink and user_sink_wrapper (#15064) @vuule
• Eliminate duplicate allocation of nested string columns (#15061) @vuule
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Fix Index.difference to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
• Fix DataFrame.sort_index to respect ignore_index on all axis (#14995) @galipremsagar
• Raise for pyarrow array that is tz-aware (#14980) @mroeschke
• Direct SeriesGroupBy.aggregate to SeriesGroupBy.agg (#14971) @rjzamora
• Respect IntervalDtype and CategoricalDtype objects passed by users (#14961) @mroeschke
• unset CUDF_SPILL after a pytest (#14958) @galipremsagar
• Fix Null literals to be not parsed as string when mixed types as string is enabled in JSON reader (#14939) @karthikeyann
• Fix chunked reads of Parquet delta encoded pages (#14921) @etseidl
• Fix reading offset for data stream in ORC reader (#14911) @ttnghia
• Enable sanitizer check for a test case testORCReadAndWriteForDecimal128 (#14897) @res-life
• Fix dask token normalization (#14829) @rjzamora
• Fix 24.04 versions (#14825) @raydouglass
• Ensure slow private attrs are maybe proxies (#14380) @mroeschke

📖 Documentation

• Ignore DLManagedTensor in the docs build (#15392) @davidwendt
• Revert "Temporarily disable docs errors. (#15265)" (#15269) @bdice
• Temporarily disable docs errors. (#15265) @bdice
• Update developer_guide.md with new guidance on quoted internal includes (#15238) @harrism
• Fix broken link for developer guide (#15025) @sanjana098
• [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
• Update cudf.pandas FAQ. (#14940) @bdice
• Optimize doc builds (#14856) @vyasr
• Add developer guideline to use east const. (#14836) @bdice
• Document how cuDF is pronounced (#14753) @pentschev
• Notes convert to Pandas-compat (#12641) @Touutae-lab

🚀 New Features

• Address inconsistency in single quote normalization in JSON reader (#15324) @shrshi
• Use JNI pinned pool resource with cuIO (#15255) @abellina
• Add DELTA_BYTE_ARRAY encoder for Parquet (#15239) @etseidl
• Migrate filling operations to pylibcudf (#15225) @brandon-b-miller
• [JNI] rmm based pinned pool (#15219) @abellina
• Implement zero-copy host buffer source instead of using an arrow implementation (#15189) @vuule
• Enable creation of columns from scalar (#15181) @vyasr
• Use NVTX from GitHub. (#15178) @bdice
• Implement segmented_row_bit_count for computing row sizes by segments of rows (#15169) @ttnghia
• Implement search using pylibcudf (#15166) @vyasr
• Add distinct left join (#15149) @PointKernel
• Add cardinality control for groupby benchs with flat types (#15134) @PointKernel
• Add ability to request Parquet encodings on a per-column basis (#15081) @etseidl
• Automate include grouping order in .clang-format (#15063) @harrism
• Requesting a clean build directory also clears Jitify cache (#15052) @robertmaynard
• API for JSON unquoted whitespace normalization (#15033) @shrshi
• Implement concatenate, lists.explode, merge, sorting, and stream compaction in pylibcudf (#15011) @vyasr
• Implement replace in pylibcudf (#15005) @vyasr
• Add distinct key inner join (#14990) @PointKernel
• Implement rolling in pylibcudf (#14982) @vyasr
• Implement joins in pylibcudf (#14972) @vyasr
• Implement scans and reductions in pylibcudf (#14970) @vyasr
• Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
• Implement groupby in pylibcudf (#14945) @vyasr
• Support casting of Map type to string in JSON reader (#14936) @karthikeyann
• POC for whitespace removal in input JSON data using FST (#14931) @shrshi
• Support for LZ4 compression in ORC and Parquet (#14906) @vuule
• Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
• Migrate unary operations to pylibcudf (#14850) @vyasr
• Migrate binary operations to pylibcudf (#14821) @vyasr
• Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
• Support CUDA 12.2 (#14712) @jameslamb

🛠️ Improvements

• Use conda env create --yes instead of --force (#15403) @bdice
• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Enable branch testing for cudf.pandas (#15316) @galipremsagar
• Replace black with ruff-format (#15312) @mroeschke
• This fixes an NPE when trying to read empty JSON data by adding a new API for missing information (#15307) @revans2
• Address poor performance of Parquet string decoding (#15304) @etseidl
• Update script input name (#15301) @AyodeAwe
• Make test_read_parquet_partitioned_filtered data deterministic (#15296) @mroeschke
• Add timeout for cudf.pandas pandas tests (#15284) @galipremsagar
• Add upper bound to prevent usage of NumPy 2 (#15283) @bdice
• Fix cudf::test::to_host return of host_vector (#15263) @davidwendt
• Implement grouped product scan (#15254) @wence-
• Add CUDA 12.4 to supported PTX versions (#15247) @brandon-b-miller
• Implement DataFrame|Series.squeeze (#15244) @mroeschke
• Roll back ipow changes due to register pressure. (#15242) @pmattione-nvidia
• Remove create_chars_child_column utility (#15241) @davidwendt
• Update dlpack to version 0.8 (#15237) @dantegd
• Improve performance in JSON reader when mixed_types_as_string option is enabled (#15236) @shrshi
• Remove row conversion code from libcudf (#15234) @ttnghia
• Use variable substitution for RAPIDS version in Doxyfile (#15231) @KyleFromNVIDIA
• Add ListColumns.to_pandas(arrow_type=) (#15228) @mroeschke
• Treat dask-cudf CI artifacts as pure wheels (#15223) @bdice
• Clean...