Comments (3)
Modin releases were chosen because they worked with pandas version 2.2.* (pandas>=2.2.2 can be installed with numpy>=2)
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PyPi versions are ready. After we release conda packages, we can close this issue.
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The corresponding conda packages should already be available
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Related Issues (20)
- Prepare Modin code to NumPy 2.0 HOT 4
- REFACTOR: Minimize the access of methods _modin_frame methods from ._query_compiler layer
- unpin numexpr HOT 1
- BUG: conda install modin-all isn't installing modin-ray or ray HOT 16
- Avoid using `synchronize_labels` for `combine` function
- Interoperability between DataFrames using different query compilers HOT 6
- `versioneer.py` is broken in python 3.12
- NumPy 2.0 support
- Add similar methods as in 7294 for operating on columns?
- Avoid unnecessary length checks in `df.squeeze`
- Run a subset of CI tests for all Python versions that Modin has declared supported on a scheduled basis.
- Upgrade github actions dependency versions HOT 1
- ValueError: The 'nrows' option is not supported with the 'pyarrow' engine HOT 4
- BUG: HOT 1
- Poor performance of df.insert and df.to_parquet HOT 23
- Pass sort parameter in stack to `query_compiler` from modin/pandas/dataframe.py
- BUG: columns mismatch after df.update
- Polars API
- BUG: Series.compare with differently named series raises ValueError, but should not HOT 1
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