CI: add test build with numpy 1.26 (<2)
I removed a `numpy<2` pin in https://github.com/pandas-dev/pandas/pull/60144, but it might be good to keep testing in one of the builds with numpy 1.26 (latest <2). 
For the rest we only pin numpy to 1.23 in `ci/deps/actions-310-minimum_versions.yaml` to test the minimal supported version.


As expected, currently there are a few failing tests:

```
=========================== short test summary info ============================
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_int_key[setitem-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_int_key[loc-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_int_key[iloc-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_mask_key[setitem-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_mask_key[loc-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_mask_key[iloc-1.1-float32-False] - TypeError: Invalid value '1.1' for dtype 'float32'
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_series_where[1.1-float32-False] - AssertionError: Attributes of Series are different

Attribute "dtype" are different
[left]:  float64
[right]: float32
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_index_where[1.1-float32-False] - AssertionError: Index are different

Attribute "dtype" are different
[left]:  float64
[right]: float32
FAILED pandas/tests/series/indexing/test_setitem.py::TestCoercionFloat32::test_index_putmask[1.1-float32-False] - AssertionError: Index are different

Attribute "dtype" are different
[left]:  float64
[right]: float32
= 9 failed, 221589 passed, 6291 skipped, 1654 xfailed, 95 xpassed, 22 warnings in 1065.19s (0:17:45) =
``` This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this. I created #61588 so we can have someone else working on this (seems like a good first issue). Closing this PR as it is stale.