TypeError: can only concatenate list (not "int") to list
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
a = pd.Series([[12]])
b = a + [222]
```
#### Problem description
1. in pandas version 0.24, the code went well
2. in pandas version 0.25.1, the code raise TypeError can only concatenate list (not "int") to list
```shell
~\AppData\Local\Continuum\anaconda3\envs\test\lib\site-packages\pandas\core\ops\__init__.py in na_op(x, y)
    967         try:
--> 968             result = expressions.evaluate(op, str_rep, x, y, **eval_kwargs)
    969         except TypeError:

~\AppData\Local\Continuum\anaconda3\envs\test\lib\site-packages\pandas\core\computation\expressions.py in evaluate(op, op_str, a, b, use_numexpr, **eval_kwargs)
    220     if use_numexpr:
--> 221         return _evaluate(op, op_str, a, b, **eval_kwargs)
    222     return _evaluate_standard(op, op_str, a, b)

~\AppData\Local\Continuum\anaconda3\envs\test\lib\site-packages\pandas\core\computation\expressions.py in _evaluate_standard(op, op_str, a, b, **eval_kwargs)
     69     with np.errstate(all="ignore"):
---> 70         return op(a, b)
     71

TypeError: can only concatenate list (not "int") to list
```


#### Expected Output

no error should be raised

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.8.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
processor        : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.None

pandas           : 0.25.1
numpy            : 1.16.3
pytz             : 2019.1
dateutil         : 2.8.0
pip              : 19.0.3
setuptools       : 41.0.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.3.3
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.8.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.3.3
matplotlib       : 3.1.0
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
s3fs             : None
scipy            : 1.2.1
sqlalchemy       : None
tables           : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None

</details>
