BUG: Reduction operations fail
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
import pandas
pdf = pandas.DataFrame([1, 'a', True])

# behavior for pandas 1.2.3
pdf.prod(axis=0, min_count=1, numeric_only=False)
0    a
dtype: object

# behavior for pandas 1.2.4
pdf.prod(axis=0, min_count=1, numeric_only=False)
AssertionError: assert numeric_only is None

# behavior for pandas 1.2.3
pdf.sum(axis=0, min_count=1, numeric_only=False)
TypeError: unsupported operand type(s) for +: 'int' and 'str'

# behavior for pandas 1.2.4
pdf.sum(axis=0, min_count=1, numeric_only=False)
AssertionError: assert numeric_only is None
```

#### Problem description

Some of the reduction operations (namely, `sum` and `prod`) has changed own behavior in 1.2.4 comparing to 1.2.3. `prod` has become failing and `sum` has thrown another exception. Other reduction operations need to be checked as well.

#### Output of ``pd.show_versions()``

<details>

pandas           : 1.2.4
numpy            : 1.19.5
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 20.2.4
setuptools       : 50.3.1.post20201107
Cython           : None
pytest           : 6.2.2
hypothesis       : None
sphinx           : 3.5.1
blosc            : None
feather          : 0.4.1
xlsxwriter       : None
lxml.etree       : 4.6.2
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : 7.20.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : 0.8.5
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.2
numexpr          : 2.7.2
odfpy            : None
openpyxl         : 3.0.6
pandas_gbq       : 0.14.1
pyarrow          : 1.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.6.0
sqlalchemy       : 1.3.23
tables           : 3.6.1
tabulate         : None
xarray           : 0.16.2
xlrd             : 2.0.1
xlwt             : None
numba            : None

</details>
