Pandas assigning value with list-like indexer

Question

I have a question that was already treated in 2014: See @jeff answer. However I would like to know if things evolved since.

I wrote a code that worked for me but didn't for a colleague:

df2 = pd.DataFrame({'A': ["yes", "no", "yes", "no"], 'B': [1,2,1,3]})

    A   B
0   yes 1
1   no  2
2   yes 1
3   no  3

df = pd.DataFrame({'A': [7,5,9,4], 'B': [4,4,4,4]})

    A   B
0   7   4
1   5   4
2   9   4
3   4   4


df[df2["A"] == "yes"]  = np.full(2, 20.0) * df.values[2]

This works perfectly find for me and gives me the desired output:

    A   B
0   180 80
1   5   4
2   180 80
3   4   4

However it returns an error to my colleague:

ValueError: cannot set using a list-like indexer with a different length than the value

And this is what @Jeff described in his answer "Bottom line, don't use lists inside of a pandas object. Its not efficient, and just makes interpretation difficult / impossible."

Was there any changes in pandas that now allow this way of coding? I didnt find anything in the documentation that warns against this possible wrong interpretation.

If this is still a bad practice what does the best practice say?