A dyadic operation or a binary operation involves two operands.
Being a specialised container developed for data-analysis purposes with
numpy.ndarray
as its underlying storage, the pandas.Series class is equipped with several **binary functions** which take
two Series instances and generate a new one. For example, adding two pandas
Series instances produce a new Series instance, which is the resultant of the
addition operation. Pandas series implements **binary operators** as well like +, - , *, and /.
Binary functions provide a way to send more parameters like fill_value,
which replaces None values with a default value.

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