In [1]: import math
   ...: import numpy as np
   ...: 
   ...: 
   ...: %timeit math.isinf(100)
   ...: %timeit np.isinf(100)    
16 ns ± 0.776 ns per loop (mean ± std. dev. of 7 runs, 100,000,000 loops each)
390 ns ± 9.09 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)

In [2]: %timeit 1000**0.5
   ...: %timeit math.sqrt(1000)
   ...: %timeit np.sqrt(1000)
3.37 ns ± 0.0315 ns per loop (mean ± std. dev. of 7 runs, 100,000,000 loops each)
21.1 ns ± 0.662 ns per loop (mean ± std. dev. of 7 runs, 100,000,000 loops each)
573 ns ± 1.84 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)

In [3]: %timeit math.ceil(0.1 * 777)
   ...: %timeit np.ceil(0.1 * 777)
14.6 ns ± 0.269 ns per loop (mean ± std. dev. of 7 runs, 100,000,000 loops each)
394 ns ± 2.01 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)