Modin

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 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.

This release reverts the pandas requirement from
2.2.1 to >=2.2,<2.3

This release introduces `modin.pandas.api.extensions` module, faster implementations for `merge` and
`groupby.rolling`(by default) functions, and new functions to work with Ray Dataset: `to/from_ray_dataset`.
It also includes some other new features, performance optimizations and bug fixes.

This release updates pandas to 2.2, introduces lazy execution mode on Ray, new functions that support glob
syntax and speeds up several more groupby cases. It also includes some other new features, performance
optimizations and many bug fixes.