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
- PERF: `mul` operator does not partition numpy arrays
- CI, BUG: modin-spreadsheets version needs to be bumped
- Docs: Getting started redownloads dataset instead of reading downloaded data set
- PERF: Default to pandas in worker process instead of main one
- PERF: Always use all available partitions when chunking data with min partition size 1, e.g. in rebalance_partitions
- 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
- Docs
- Python not yet supported