Python comes with a timeit module specifically designed for benchmarking snippets of code

circle-time.py

# just an example of how the `timeit` works
# below is an example of class attribute vs method parameter performance

class CircleTime():
    def __init__(self, radius=1):
        self.pi = 3.14
        self.radius = 1

    # use class attribute pi
    def get_circum_self(self):
        return self.pi * self.radius * 2

    # use param for pi
    def get_circum_pi(self, pi, radius):
        return pi * radius * 2


# run the method directly
print(timeit.timeit('CircleTime().get_circum_self()', setup='from __main__ import CircleTime', number=10000))

# passing parameters
print(timeit.timeit('CircleTime().get_circum_pi(111,1)', setup='from __main__ import CircleTime', number=10000))

# passing parameters with variables
num_pi = 3.14
num_radius = 1
print(timeit.timeit(
    stmt='CircleTime().get_circum_pi(num_pi,num_radius)',  # method
    setup='from __main__ import CircleTime',  # import the class
    number=10000,  # how many loops to run
    globals={  # passing variables
        'num_pi': num_pi,
        'num_radius': num_radius
        })
)