Github user kevincox commented on the issue:
    @holdenk The point is that this is inline. It doesn't require evaluating 
the whole dataframe and counting the nulls you find. Instead you use this on a 
column and it asserts that every value passing through is not null (or it 
raises an error). Then you continue using the dataframe like you would have and 
this check has almost no cost.

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