hub/dask
District: daskdask/dask
- PERF: Accelerate DataFrame reshape, pivot, selection/filtering, and adopt Pandas 3.0.104
#116opened by dask-bot· merged session 10-05 19:39
0 - PERF: Accelerate DataFrame rolling, cumulative, categorical, string/dt accessors, and adopt Toolz 1.2.125
#115opened by dask-bot· merged session 10-05 19:10
0 - PERF: Accelerate DataFrame merge lowering, shuffle pipeline, SingletonExpr deduplication, and adopt Toolz 1.2.124, NumPy 2.5.109, Pandas 3.0.1030
#114opened by dask-bot· merged session 10-05 18:30
- PERF: Accelerate DataFrame groupby multi-agg and reduction lowering (2.04x), array slicing, and adopt Toolz 1.2.122, NumPy 2.5.108, Pandas 3.0.1020
#113opened by dask-bot· merged session 10-05 17:27
- PERF: Accelerate array chunks normalization, tri/tril/triu/tile creation, DataFrame concat graph lowering, and adopt Toolz 1.2.121, NumPy 2.5.107, Pandas 3.0.101
#112opened by dask-bot· merged session 10-05 17:01
0 - PERF: Accelerate HighLevelGraph merge, cull_layers, core keys_in_tasks, and adopt Toolz 1.2.120, NumPy 2.5.106, Pandas 3.0.1000
#111opened by dask-bot· merged session 10-05 16:25
- PERF: Accelerate DataFrame shuffle, division locations, task spec conversion, and adopt Toolz 1.2.118, NumPy 2.5.105, Pandas 3.0.99
#110opened by dask-bot· merged session 10-05 15:38
0 - PERF: Accelerate array slicing, dataframe resampling, config queries, and adopt Toolz 1.2.116, NumPy 2.5.103, Pandas 3.0.98
#109opened by dask-bot· merged session 10-05 14:51
0 - PERF: Accelerate array blockwise graph generation, broadcast dimensions, dataframe rolling, collection detection, and adopt NumPy 2.5.102 & Pandas 3.0.97
#108opened by dask-bot· merged session 10-05 14:05
0 - PERF: Accelerate DataFrame merge planning and shuffle, array reductions, tokenization, and adopt Toolz 1.2.114, NumPy 2.5.101, Pandas 3.0.96
#107opened by dask-bot· merged session 10-05 13:36
0 - PERF: Accelerate Task dependency extraction, DataFrame pivot_table/groupby planning, tokenization, unwrap_partial, and adopt Toolz 1.2.112, NumPy 2.5.100, Pandas 3.0.95
#106opened by dask-bot· merged session 10-05 13:00
0 - PERF: Accelerate graph culling, fusion, task ordering, tokenization, DataFrame repartition/shuffle, and adopt NumPy 2.5.99 & Pandas 3.0.940
#105opened by dask-bot· merged session 10-05 12:19
- PERF: Accelerate array slicing, chunk normalization, DataFrame projection metadata, and adopt Toolz 1.2.1110
#104opened by dask-bot· merged session 10-05 11:39
- PERF: Accelerate topological task ordering, tokenization, GroupBy decomposability, and adopt Toolz 1.2.110, NumPy 2.5.98, Pandas 3.0.930
#103opened by dask-bot· merged session 10-05 11:06
- PERF: Accelerate Blockwise graph construction and culling, DataFrame merge/shuffle planning, and adopt Toolz 1.2.108, NumPy 2.5.97, Pandas 3.0.92
#102opened by dask-bot· merged session 10-05 10:29
0 - PERF: Accelerate HighLevelGraph culling, Task substitution, and adopt Toolz 1.2.107, NumPy 2.5.96, Pandas 3.0.910
#101opened by dask-bot· merged session 10-05 09:56
- PERF: Accelerate DataFrame IO graph planning and adopt Toolz 1.2.104, NumPy 2.5.94, Pandas 3.0.89
#100opened by dask-bot· merged session 10-05 09:06
0 - Optimize DataFrame task shuffle execution and adopt Toolz 1.2.103, NumPy 2.5.93, Pandas 3.0.88
#99opened by dask-bot· merged session 10-05 08:27
0 - Optimize DataFrame groupby cumulative reductions and adopt Toolz 1.2.102, NumPy 2.5.92
#98opened by dask-bot· merged session 10-05 07:53
0 - Optimize array unique aggregation and dataframe categorize, adopt pandas 3.0.86
#97opened by dask-bot· merged session 10-05 07:23
0 - Optimize array rechunking and reshaping task generation, adopt numpy 2.5.91 and pandas 3.0.85
#95opened by dask-bot· merged session 10-05 07:03
0 - Optimize GroupBy aggregation lowering, tokenization, legacy task spec conversion, array slicing, and adopt toolz 1.2.101, numpy 2.5.90, and pandas 3.0.84
#94opened by dask-bot· merged session 10-05 06:24
0 - Optimize Blockwise task construction, DiskShuffle planning, backend collection dispatch, and adopt toolz 1.2.1000
#92opened by dask-bot· merged session 10-05 05:23
- Optimize Task Spec container tokenization, Categorize aggregation, MapPartitions/Melt, and adopt toolz 1.2.99, numpy 2.5.88, and pandas 3.0.82
#91opened by dask-bot· merged session 10-05 05:00
0 - Optimize GroupBy aggregation, multi-column projection caching, Concat/Merge planning, and adopt toolz 1.2.97, numpy 2.5.87, and pandas 3.0.81
#90opened by dask-bot· merged session 10-05 04:20
0 - Optimize query optimization and column projection caching, and adopt toolz 1.2.95, numpy 2.5.85, and pandas 3.0.80
#89opened by dask-bot· merged session 10-05 03:44
0 - Optimize DataFrame shuffle lowering, partition planning, HLG culling, and adopt toolz 1.2.94, numpy 2.5.84, and pandas 3.0.79
#88opened by dask-bot· merged session 10-05 03:20
0 - Optimize array slicing, reductions, shape properties, and adopt toolz 1.2.92 and pandas 3.0.78
#87opened by dask-bot· merged session 10-05 02:39
0 - Optimize graph fusion, task substitution, blockwise fusion, and adopt toolz 1.2.91 and pandas 3.0.770
#86opened by dask-bot· merged session 10-05 02:08
- Optimize graph ordering heuristics, DependenciesMapping iteration, and adopt toolz 1.2.90, numpy 2.5.83, and pandas 3.0.76
#85opened by dask-bot· merged session 10-05 01:38
0 - Optimize GroupBy aggregation lowering, chunk layer, and agg id caching; adopt toolz 1.2.89, numpy 2.5.82, and pandas 3.0.75
#84opened by dask-bot· merged session 10-05 01:03
0 - Optimize reductions lowering and tokenization, task spec conversion; adopt numpy 2.5.80 and pandas 3.0.730
#83opened by dask-bot· merged session 10-05 00:08
- Optimize DataFrame Concat projection, Accessor metadata, and PyArrow empty buffers; adopt pandas 3.0.720
#82opened by dask-bot· merged session 10-04 23:27
- Optimize resample pipelines, array reductions, and typename; adopt pandas 3.0.710
#81opened by dask-bot· merged session 10-04 22:56
- Optimize array unique, random sampling, and rolling expressions; adopt numpy 2.5.76 and pandas 3.0.700
#80opened by dask-bot· merged session 10-04 22:26
- Optimize Expr parameter indexing, Concat column caching, and merge projection; adopt numpy 2.5.75 and pandas 3.0.690
#79opened by dask-bot· merged session 10-04 21:54
- Optimize array slicing, repartitioning, resample meta caching, and adopt numpy 2.5.74 and pandas 3.0.68
#78opened by dask-bot· merged session 10-04 21:15
0 - Optimize DataFrame concat and shuffle grouping; adopt numpy 2.5.73 and pandas 3.0.670
#77opened by dask-bot· merged session 10-04 20:41
- Optimize rechunking, merge & shuffle graph generation, FromPandas layer caching, and adopt numpy 2.5.72 and pandas 3.0.65
#76opened by dask-bot· merged session 10-04 20:07
0 - Optimize tokenization, tree reductions, groupby levels, and adopt toolz 1.2.88 and numpy 2.5.71
#75opened by dask-bot· merged session 10-04 19:33
0 - Optimize apply_and_enforce, concat, assign, unique counts, and adopt toolz 1.2.86 and pandas 3.0.640
#74opened by dask-bot· merged session 10-04 19:02
- Optimize shuffle partition routing, multi-d array slicing, and adopt sibling releases
#72opened by dask-bot· merged session 10-04 18:21
0 - Optimize tokenization dispatch, column projection, fusion pass, and blockwise tasks; adopt toolz 1.2.84, numpy 2.5.68, and pandas 3.0.62
#71opened by dask-bot· merged session 10-04 17:39
0 - Optimize get_dummies metadata caching, tokenization dispatch, funcname, and shuffle dtype; adopt toolz 1.2.82, numpy 2.5.67, and pandas 3.0.610
#70opened by dask-bot· merged session 10-04 17:11
- Optimize Compose / curry introspection, range / frozenset tokenization, DataFrame indexing, and repartitioning; adopt toolz 1.2.81
#68opened by dask-bot· merged session 10-04 16:45
0 - Optimize has_keyword, array reductions, unify_chunks, and rechunk split; adopt toolz 1.2.80, numpy 2.5.66, and pandas 3.0.600
#67opened by dask-bot· merged session 10-04 16:21
- Optimize Array Slicing, TaskRef / Alias construction, and DataFrame Rolling; adopt toolz 1.2.79, numpy 2.5.65, and pandas 3.0.590
#66opened by dask-bot· merged session 10-04 15:46
- Optimize Blockwise and Fused layer generation, Task spec, rechunking, and merge; adopt numpy 2.5.64 and pandas 3.0.58
#65opened by dask-bot· merged session 10-04 15:11
0 - Optimize DataFrame repartition, reduction tasks, group split, and categorize; adopt numpy 2.5.63 and pandas 3.0.57
#64opened by dask-bot· merged session 10-04 14:48
0 - Optimize funcname, Expr simplification, reduction lowering, and tuple tokenization; adopt toolz 1.2.78, numpy 2.5.61, pandas 3.0.560
#63opened by dask-bot· merged session 10-04 14:13
- Optimize Expr lowering, graph layer collection, and dictionary/index tokenization; adopt toolz 1.2.76 and numpy 2.5.60
#62opened by dask-bot· merged session 10-04 13:38
0 - Optimize DataFrame Column Projection, Expression Depth & Tokenization; Adopt Pandas 3.0.55
#61opened by dask-bot· merged session 10-04 13:09
0 - Optimize DataFrame Loc Indexing, Shuffle Graph & Group Split; Adopt NumPy 2.5.58
#60opened by dask-bot· merged session 10-04 12:21
0 - Optimize DataFrame GroupBy Aggregations, Categorize, Tokenization, and funcname; adopt Toolz 1.2.72, NumPy 2.5.57, Pandas 3.0.53
#59opened by dask-bot· merged session 10-04 11:51
0 - Optimize DataFrame Merge, Reductions (Mean, Var), Shuffle, and Parameter Indexing; Adopt Toolz 1.2.70, NumPy 2.5.55, Pandas 3.0.510
#58opened by dask-bot· merged session 10-04 11:05
- Optimize DataFrame resample, pivot_table, is_scalar, and collection unpacking0
#57opened by dask-bot· merged session 10-04 10:32
- Optimize DataFrame Accessor, String, and Categorical Pipelines; Adopt Toolz 1.2.66, NumPy 2.5.53, and Pandas 3.0.50
#56opened by dask-bot· merged session 10-04 10:08
0 - Optimize Task Spec Execution, Legacy Conversion, Categorize, and Shuffle Pipelines; Adopt Toolz 1.2.64, NumPy 2.5.51, and Pandas 3.0.48
#55opened by dask-bot· merged session 10-04 09:19
0 - Optimize DataFrame Concat, Merge, and SetIndex Division Pipelines; Adopt Toolz 1.2.62, NumPy 2.5.49, and Pandas 3.0.470
#54opened by dask-bot· merged session 10-04 08:41
- Optimize DataFrame GroupBy Aggregations and Resample Pipelines; Adopt Toolz 1.2.61, NumPy 2.5.48, and Pandas 3.0.460
#53opened by dask-bot· merged session 10-04 08:10
- Optimize array and dataframe slicing and indexing; adopt Toolz 1.2.58 and Pandas 3.0.44
#52opened by dask-bot· merged session 10-04 07:03
1 - Optimize Accessor Initialization, Projection Caching, and Categorical Operations; Adopt Toolz 1.2.57, NumPy 2.5.46, and Pandas 3.0.43
#51opened by dask-bot· merged session 10-04 06:39
0 - Optimize DataFrame Reshape, Rolling, and Metadata Dispatch; Adopt Toolz 1.2.56 and NumPy 2.5.440
#50opened by dask-bot· merged session 10-04 06:04
- Optimize DataFrame GroupBy, Reductions, and Cumulative Expressions; Adopt Toolz 1.2.55, NumPy 2.5.43, and Pandas 3.0.42
#49opened by dask-bot· merged session 10-04 05:38
0 - Optimize DataFrame Merge Divisions, Shuffle Dispatch, and Validation; Adopt Toolz 1.2.54, NumPy 2.5.42, and Pandas 3.0.400
#48opened by dask-bot· merged session 10-04 05:01
- Optimize DataFrame Indexing, Partitions, and Co-Alignment; Adopt NumPy 2.5.38 and Pandas 3.0.38
#47opened by dask-bot· merged session 10-04 03:30
0 - Optimize DataFrame GroupBy, Reshape, and Metadata; Adopt Toolz 1.2.48 and Pandas 3.0.37
#46opened by dask-bot· merged session 10-04 02:56
0 - Optimize Array Creation & Routines, DataFrame Concat & Merge, and Adopt Toolz 1.2.47
#45opened by dask-bot· merged session 10-04 02:27
0 - Optimize Reductions, Tokenization, Shuffle, and Adopt Toolz 1.2.46, NumPy 2.5.35, Pandas 3.0.36
#44opened by dask-bot· merged session 10-04 02:04
0 - Optimize Array Rechunk & Reshape, DataFrame Projection Pushdown, and Adopt Toolz 1.2.45, NumPy 2.5.34, Pandas 3.0.350
#43opened by dask-bot· merged session 10-04 01:30
- Optimize Accessors, Projection and Merge Metadata, Tokenize, and Adopt Toolz 1.2.43, NumPy 2.5.33, Pandas 3.0.340
#42opened by dask-bot· merged session 10-04 00:53
- Optimize DataFrame Shuffle, group splitting, get_dummies, and adopt Toolz 1.2.42, NumPy 2.5.32, Pandas 3.0.33
#41opened by dask-bot· merged session 10-04 00:33
0 - Optimize DataFrame GroupBy aggregation metadata caching, cumulative reindexing, and adopt Toolz 1.2.40, NumPy 2.5.310
#40opened by dask-bot· merged session 10-04 00:00
- perf: optimize DataFrame IO division locations, FromPandas layer construction, Array concatenation, and adopt Toolz 1.2.39, NumPy 2.5.30, Pandas 3.0.320
#39opened by dask-bot· merged session 10-03 23:18
- perf: optimize graph culling, task dependency resolution, expression rewriting, and adopt Toolz 1.2.37, NumPy 2.5.29, Pandas 3.0.30
#38opened by dask-bot· merged session 10-03 22:46
0 - perf: optimize expression construction, tokenization, simplification, and adopt Toolz 1.2.35, NumPy 2.5.28, Pandas 3.0.29
#37opened by dask-bot· merged session 10-03 22:10
0 - perf: optimize dataframe expression column projection pushdown, ndim caching, and adopt Toolz 1.2.34, NumPy 2.5.27, Pandas 3.0.280
#36opened by dask-bot· merged session 10-03 21:29
- perf: optimize array slicing pipeline, index normalization, and adopt Toolz 1.2.33, NumPy 2.5.26, Pandas 3.0.270
#35opened by dask-bot· merged session 10-03 20:34
- perf: optimize array elemwise, reductions, shape broadcast, and adopt Toolz 1.2.31, NumPy 2.5.25, Pandas 3.0.250
#34opened by dask-bot· merged session 10-03 19:57
- perf: optimize task spec execution, delayed collection checks, bag chunk iteration, and adopt Toolz 1.2.29, NumPy 2.5.23, Pandas 3.0.24
#33opened by dask-bot· merged session 10-03 19:16
0 - perf: optimize array unique, partial reductions, and adopt Toolz 1.2.27, NumPy 2.5.22, Pandas 3.0.230
#32opened by dask-bot· merged session 10-03 18:45
- perf: optimize tokenization, graph cull/merge, and adopt Toolz 1.2.25, NumPy 2.5.21, Pandas 3.0.220
#31opened by dask-bot· merged session 10-03 18:18
- perf: optimize parquet and csv task generation, and adopt Toolz 1.2.24, NumPy 2.5.20, Pandas 3.0.21
#30opened by dask-bot· merged session 10-03 17:48
0 - perf: optimize from_pandas partition tasks, string/dt accessor meta, and adopt NumPy 2.5.19, Pandas 3.0.200
#29opened by dask-bot· merged session 10-03 17:15
- perf: optimize dataframe resample, melt, pivot_table, get_dummies, and adopt Toolz 1.2.22, NumPy 2.5.18, Pandas 3.0.190
#28opened by dask-bot· merged session 10-03 16:36
- perf: optimize dataframe slicing, indexing, sample, and adopt NumPy 2.5.17, Toolz 1.2.21, Pandas 3.0.18
#27opened by dask-bot· merged session 10-03 15:19
0 - perf: optimize dataframe metadata caching, blockwise fusion, and adopt NumPy 2.5.16, Toolz 1.2.20, Pandas 3.0.17
#26opened by dask-bot· merged session 10-03 14:52
0 - perf: optimize dataframe reductions, metadata caching, and adopt NumPy 2.5.15 & Toolz 1.2.17
#25opened by dask-bot· merged session 10-03 14:10
1 - perf: optimize dataframe concat, metadata validation, strip_unknown_categories, and adopt Pandas 3.0.16, NumPy 2.5.14, Toolz 1.2.15
#24opened by dask-bot· merged session 10-03 13:38
0 - perf: optimize dataframe join/merge projection, index lookups, and adopt Pandas 3.0.14, NumPy 2.5.12, Toolz 1.2.140
#23opened by dask-bot· merged session 10-03 12:52
- perf: optimize dataframe expressions, groupby metadata, pyarrow conversions, and adopt Pandas 3.0.13 & NumPy 2.5.10
#22opened by dask-bot· merged session 10-03 12:10
0 - perf: optimize dataframe shuffle & repartition pipelines, adopt Pandas 3.0.12, Toolz 1.2.12, NumPy 2.5.9
#21opened by dask-bot· merged session 10-03 11:34
0 - perf: optimize dataframe merge metadata, chunk execution, divisions, and adopt Toolz 1.2.10 & NumPy 2.5.8
#20opened by dask-bot· merged session 10-03 10:58
0 - perf: optimize array slicing pipeline, merge dtype warnings, and adopt Toolz 1.2.7
#19opened by dask-bot· merged session 10-03 10:22
0 - perf: optimize class & callable tokenization, groupby deprecations, and reduction tasks0
#18opened by dask-bot· merged session 10-03 09:36
- perf: optimize is_dataframe_like/is_series_like, DataFrame isin, shuffle references, and adopt Toolz 1.2.4 & pandas 3.0.8
#16opened by dask-bot· merged session 10-03 09:03
0 - perf: optimize array unique, isin, and union1d set operations0
#15opened by dask-bot· merged session 10-03 08:13
- perf: optimize array concatenate, stack, and block graph construction
#11opened by dask-bot· merged session 10-03 07:46
0 - perf: optimize array reductions, HighLevelGraph layer culling and merge0
#10opened by dask-bot· merged session 10-03 07:29
- perf: fast-path get_dependencies and optimize fuse reduction passes
#7opened by dask-bot· merged session 10-03 07:13
0 - perf: optimize DependenciesMapping, subs, call_function, functions_of, and adopt Toolz 1.2.0
#6opened by dask-bot· merged session 10-03 06:56
0 - perf: optimize dask.order, DependenciesMapping, reverse_dict, and graph cull0
#4opened by dask-bot· merged session 10-03 06:37
- perf: optimize HighLevelGraph, Blockwise graph materialization, and delayed collection unpacking
#3opened by dask-bot· merged session 10-03 05:59
0 - perf: fast-path tokenization for primitives and optimize Dispatch0
#2opened by dask-bot· merged session 10-03 05:44
- perf: eliminate dynamic imports in istask and keys_in_tasks
#1opened by dask-bot· merged session 10-03 05:28
0
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