A NumPy Universal Function (`ufunc`) object contains several read-only informational attributes. These include:

- `__doc__`: A docstring for the ufunc.
- `__name__`: The name of the ufunc.
- `nin`: The number of inputs.
- `nout`: The number of output arguments.
- `nargs`: The total number of arguments.
- `ntypes`: The number of defined inner loops.
- `types`: A list of length `ntypes` containing strings showing the types for which the ufunc is defined.
- `identity`: The identity of the ufunc.

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Essentially, there are NumPy functions that operate on ndarrays. All (ufuncs) wrap a core function that takes scalar inputs and produces scalar outputs.

Why would this be useful?
- Say for example a user wants to sum individual elements in a list with the same corresponding elements in another list. One could iterate through both lists and add them as it goes through the iteration. Or, if the user uses a ufunc called "add(x,y)"  then it does the same thing - but saves times.

Universal Function Object

NumPy Universal Function (ufunc) Attributes

A NumPy Universal Function (`ufunc`) object has exactly four methods: `reduce`, `accumulate`, `reduceat`, and `outer`. However, these methods only operate on ufuncs that take two input arguments and return one output argument.

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