What is the difference between partial and partialmethod?

partial is used to freeze arguments and keywords. It creates a new callable object with partial application of the given arguments and keywords.

from functools import partialfrom operator import add# add(x,y) normally takes two argument, so here, we freeze one argument and create a partial function.adding = partial(add, 4)adding(10)        # outcome will be add(4,10) where `4`  is the freezed arguments.

This is useful when you want to map a list of numbers to a function but maintaining one argument frozen.

# [adding(4,3), adding(4,2), adding(4,5), adding(4,7)]add_list = list(map(adding, [3,2,5,7])) 

partialmethod was introduced in python 3.4 and it is meant to be used in a class as a method definition rather than been directly callable

from functools import partialmethodclass Live:    def __init__(self):        self._live = False    def set_live(self,state:'bool'):        self._live = state    def __get_live(self):        return self._live    def __call__(self):        # enable this to be called when the object is made callable.        return self.__get_live()    # partial methods. Freezes the method `set_live` and `set_dead`    # with the specific arguments    set_alive = partialmethod(set_live, True)    set_dead = partialmethod(set_live, False)live = Live() # create objectprint(live()) # make the object callable. It calls `__call__` under the hoodlive.set_alive() # Call the partial methodprint(live())

As @HaiVu said in his comment partial called in a class definition will create a staticmethod, while partialmethod will create a new bound method which when called will be passed self as the first argument.