19 июн. 2009 г. · Otherwise, if you want to calculate power of a number in a for loop, using the ** python operator is way faster that numpy. power .

23 мая 2021 г. · The bottleneck of my code is the repeated calling of pow(base,exponent,modulus) for very large integers (numpy does not support such large integers, about 100 ...

3 янв. 2013 г. · I was trying to implement a Miller-Rabin primality test, and was puzzled why it was taking so long (> 20 seconds) for midsize numbers (~7 digits).

27 авг. 2019 г. · I am trying to implement the function fast modular exponentiation(b, k, m) which computes: b (2 k ) mod m using only around 2k modular multiplications.

3 дек. 2022 г. · Usually when you need huge numbers it's for cryptography and you really need a**b % c which pow(a,b,c) provides and is much faster.

3 апр. 2019 г. · The builtin is implemented in C which is much faster than implementing it in Python. It's also probably had several people making speed ...

31 окт. 2021 г. · The f-string approach is the fastest because nothing is actually calculated, though it only works for integer powers of ten.

9 мар. 2011 г. · Then I found that the built-in function pow() can do this really fast by calling pow(a, b, c) . I'm curious to know how does Python implement ...

17 февр. 2015 г. · pow because the result has been precomputed then cached. When you are making the 3.0 ** 100 there's no computation performed, the result is just ...

17 февр. 2018 г. · According to this answer, ** is faster for float values, whereas pow is faster for int values due to the optional modulus argument to the builtin pow.