Comments (1)
Related Issues (20)
- Dask dataframe from large pandas dataframe cannot be computed on cluster HOT 3
- `X.T @ X` is almost 2 times slower if `X` has any dependencies in the task graph HOT 1
- 2023.11.0: pytest 7.4.3 is failing with error while parsing the warning configuration HOT 2
- test_datetime_std_with_larger_dataset is flaky
- Mechanism to indicate a task is only executed for side-effects to prevent re-execution upon worker restart HOT 6
- Resampling to Time Period End Fails
- "config" is not exported from module "dask"
- map_blocks errors with numpy 1.26.0 HOT 2
- ValueError: Categorical categories cannot be null when reading parquet file with no category
- Upstream CI failure: `test_categorize_info` is failing with pyarrow 15.0.0.dev
- CI Failing on windows 3.11 HOT 9
- PR Labeler failing HOT 3
- Docs build failing
- DEPR: pandas 3.0 deprecations and the migration to dask-expr
- Unexpected Results Caused by BigInt ID in numpy linspace HOT 1
- Add a `.__wrapped__` (or similar) attribute for `@dask.delayed`-decorated functions HOT 3
- Unstable grouping result when calling groupby apply on merged dask dataframes with missing values HOT 3
- `isinstance(Future, Future)` evaluates to `False` HOT 1
- linalg.solve has unexpected TypeError with cupy HOT 3
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