modin
https://github.com/modin-project/modin
Python
Modin: Scale your Pandas workflows by changing a single line of code
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- Issues
- REFACTOR: swap column and row virtual partition names
- Add modin-ray package for osx-64 to conda-forge
- TEST: CI: Make Dask ubuntu test_groupby much less than 200% == 8 minutes slower than ray
- Double reading of data during `read_csv` execution
- PERF: avoid to_pandas in Series._reduce_dimension
- REFACTOR: de-duplicate two find_common_type_cat functions
- REFACTOR: Refactor `full_axis` argument
- REFACTOR-#4696: Merge dask and ray virtual partition code.
- PERF: Consider whether to avoid partition.length() in the parquet dispatcher.
- Emulate `read_csv_glob` for pandas to refactor `test_io_exp.py`
- Docs
- Python not yet supported