[Python] What is the difference between time.perf_counter() and time.process_time()?

I am using Jupyter notebook. I'm trying to measure how long will it take to count the Avogadro's number with Python.

I found that time.perf_counter() and time.process_time() modules will be useful for this kind of work. So I tried both of them, but the result was totally different. What makes this kind of difference?


Here is my code.

Using time.perf_counter()


import time

a = 10 ** 5

def AvogadroCounting():
i = 0
while i <= a:
i += 1

AvogadroCounting()

t_fract = time.perf_counter() #time to count fraction of avogadro's number in Seconds


print(t_fract, 'secs')


And my notebook gives 693920.393636181 secs.

Using time.process_time()


import time

a = 10 ** 5

def AvogadroCounting():
i = 0
while i <= a:
i += 1

AvogadroCounting()

t_fract = time.process_time() #time to count fraction of avogadro's number in Seconds


print(t_fract, 'secs')


and this gives 2048.768273 secs.

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