Thank you Ram for your question.

While in the lab exercises for pandas, we saw some methodology of using a dataframe and issuing a "mean" method to get the mean.  Ram's question was good because he wanted to know other ways to get mean, without necesarily going through all the steps.

Ram, here is some code for you that will help:
==============
use statistics:

import statistics
 
print(statistics.mean([1,2,3,4,5]))
 
print(statistics.mean([-1.0,2.7,-3.9,5.8]))
===============
use description:

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html

==============
in a column of a dataframe:
df.your_column_name.mean()


Some nice examples of Descriptive Analytics:
https://www.tutorialspoint.com/python_pandas/python_pandas_descriptive_statistics.htm