Modin

This release introduces support for Polars API, a new query compiler for small data,
more functions that can use dynamic partitioning, as well as several bug fixes.

First release compatible with NumPy 2.0.

This release pins numpy<2.

This release introduces support for DataFrame API standard, a distributed implementation for right merge/join,
more efficient implementation of internal operators, which gives a performance boost to almost all distributed Modin functions,
improved compatibility with pandas on pyarrow backend, type hints for pandas API to improve UX.

This release pins numpy<2.

This release introduces `modin.pandas.testing` and `modin.pandas.arrays` modules, **faster** implementation (range-partitioning) for
`pivot_table`, `unique`, `drop_duplicates`, `nunique`, `df.resample` functions, **new** functions to interact with Dask: `to/from_dask`,
**distributed** implementation for `Series.case_when`, **optimization** for `astype` function with scalar dtype.