My code basically calls int(time.time()) until its value changes, doing i+=1 for every time it did not change (n=10 for every platform (python2/3/pypy/browser)). My browser is Firefox 61, full code here: https://hastebin.com/turenofise.py
https://developer.mozilla.org/en-US/docs/Web/JavaScript/Refe...
But you made me think: indeed, the underlying call could be slower from JS whereas from pypy/python{2,3} it's fast (or vice versa). So I just tested a version where it checks how long ten million iterations take (n=3). Code here: https://hastebin.com/uyuhecabek.py
browser/pypy 5.25 seconds
python 3.6.6 2.16 seconds
python 3.7.0 2.08 seconds
python 2.7.15 1.42 seconds
pypy 6.0.0 0.01 seconds
Edit: SO answer explaining the PyPy JIT: https://stackoverflow.com/questions/37377787/what-kind-of-ji...
Iteration 0 took -0.9660000801086426s
Iteration 1 took -0.9519999027252197s
Iteration 2 took -0.9499998092651367s
Iteration 0 took 0.6579999923706055s
Iteration 1 took 0.6540000438690186s
Iteration 2 took 0.6460001468658447s
Running it on OP's website again just to be sure, it now takes 4.9 seconds instead of 5.25, so there is some variance there, but this is still a big difference. This is Firefox as well (see another comment in this subthread), I don't have Chromium installed.
Besides, if calculations are important, you would use numpy.
Here's the code:
import time
a=-1
j = 0
i=0
while j < 10:
if a!=int(time.time()):
print(i)
a = int(time.time())
i=0
j += 1
i += 1