Backport Python import error patch to 2024.2.1

[jtilly]

Currently,

micromamba create dask -n dask=2024.2.1

will result in a broken version of dask (because it will pull in the latest Python, see #11038):

Python 3.12.3 | packaged by conda-forge | (main, Apr 15 2024, 18:35:20) [Clang 16.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import dask.dataframe as dd

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/__init__.py", line 100, in <module>
    from dask.dataframe import backends, dispatch, rolling
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/backends.py", line 15, in <module>
    from dask.dataframe.core import DataFrame, Index, Scalar, Series, _Frame
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/core.py", line 36, in <module>
    from dask.dataframe import methods
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/methods.py", line 34, in <module>
    from dask.dataframe.utils import is_dataframe_like, is_index_like, is_series_like
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/utils.py", line 20, in <module>
    from dask.dataframe import (  # noqa: F401 register pandas extension types
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/_dtypes.py", line 9, in <module>
    from dask.dataframe.extensions import make_array_nonempty, make_scalar
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/extensions.py", line 8, in <module>
    from dask.dataframe.accessor import (
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/accessor.py", line 126, in <module>
    class DatetimeAccessor(Accessor):
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/accessor.py", line 81, in __init_subclass__
    _bind_property(cls, pd_cls, attr, min_version)
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/dataframe/accessor.py", line 35, in _bind_property
    setattr(cls, attr, property(derived_from(pd_cls, version=min_version)(func)))
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/utils.py", line 987, in wrapper
    method.__doc__ = _derived_from(
                     ^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/utils.py", line 940, in _derived_from
    method_args = get_named_args(method)
                  ^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/site-packages/dask/utils.py", line 701, in get_named_args
    s = inspect.signature(func)
        ^^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/inspect.py", line 3310, in signature
    return Signature.from_callable(obj, follow_wrapped=follow_wrapped,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/inspect.py", line 3054, in from_callable
    return _signature_from_callable(obj, sigcls=cls,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/inspect.py", line 2642, in _signature_from_callable
    call = _descriptor_get(call, obj)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/private/tmp/dask/lib/python3.12/inspect.py", line 2467, in _descriptor_get
    return get(descriptor, obj, type(obj))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: descriptor '__call__' for 'type' objects doesn't apply to a 'property' object

Would you be open to backporting

#11035
#11039

to 2024.2.1 (and releasing it as 2024.2.2)?

2024.2.1 is the last version of dask that doesn't force the query planner on us (and supports pandas <2.0) and it would be great if it worked with the latest Python releases.

I'm happy to do the work (though I guess most of the work will be the actual release -- including distributed, etc).

Alternatively, I could just add a patch to the conda recipe in the feedstock repo, which would be sufficient for me and would also ensure that

micromamba create dask -n dask=2024.2.1

installs a working version of dask.

Edit: For a proposal to patch via the recipe, see conda-forge/dask-core-feedstock#202