API/DEPR: Deprecate inplace parameter
The parameter `inplace=False` should be deprecated across the board in preparation for `pandas` 2, which will not support that input (we will always return a copy).  That would give people time to stop using it.

Thoughts?

**Methods using `inplace`:**

Deprecation non controvertial (a copy will be made anyway, and `inplace=True` does not add value):
- (Series/DataFrame).drop
- (Series/DataFrame).drop_duplicates
- (Series/DataFrame).dropna
- DataFrame.set_index (with `drop=False` wouldn't change the data, but that doesn't seem the main use case)
- DataFrame.query
- DataFrame.eval

Not sure:
- (Series/DataFrame).sort_values
- (Series/DataFrame).sort_index

Should be able to not copy memory (under discussion on what to do):
- (Series/DataFrame).clip
- (Series/DataFrame).where
- (Series/DataFrame).fillna
- (Series/DataFrame).rename_axis
- (Series/DataFrame).reset_index
- (Series/DataFrame).replace
- (Series/DataFrame).set_axis
- (Series/DataFrame).mask
- (Series/DataFrame).interpolate
- DataFrame.rename
- Index.rename
- Index.set_names
- MultiIndex.set_levels
- MultiIndex.set_labels
- pandas.core.resample.Resampler.interpolate

Special cases:
- pandas.eval (with `inplace=False` the value is not returned but set to an argument `target`)