Q:

Serial(?) editing spree of old question with pandas/python - adding dataframe tag to them

I had 4 or 5 3 edit reviews by the same user who added dataframe to questions already containing python and pandas. 
I read on meta:

Stop bumping old questions because it's frustrating (-21)
Is bumping old questions allowed?
(+17)
Is it encouraged to bump (update) old answers (+27)

I do not quite get the value of adding a tag to questions that are 3+years old. I checked one user and he was last seen 3y ago...
I left the editor-user a message:

Adding tags to 3.5 year old question is not a good idea - the addition of that tag does not lead to more results - but it bumps the
  question into view again - I just reviewed 2 old questions where you
  added the dataframe tag - both old. I am not sure why you did so - I
  hope not for the rep from editing ... bumping old stuff is not nice.
  The poster of this question was last seen on Jan 2015 - this is not
  helping anyone. If you have an answer or can seriously improve a
  question with chances to be answered - go ahead. But adding "datframe"
  to "python + pandas" does nothing.

Is there some kind of saveguard against rep-farming by mass-editing tags to year old stuff?

A:

I know that this is obvious to some but I'll put it out there so that we are on the same page.  Pandas is a library whose main object is a DataFrame.  The anatomy of this DataFrame consists of Series and Index objects.  That said, there are MANY other elements/dimensions/nuances of Pandas that have deserving questions.  Bottom line is Pandas is NOT synonymous with DataFrame.  If such guidance exists, I strongly disagree with it.
This post does not need the DataFrame tag as it is specific to the Timestamp object.  I just rolled it back.
Converting between datetime, Timestamp and datetime64

