On Sunday, 16 August 2015 at 13:11:12 UTC, Yura wrote:
Python:
#!/usr/bin/python
import sys, string, os, glob, random
from math import *
a = 0
l = 1000
for i in range(l):
for j in range(l):
for m in range(l):
a = a +i*i*0.7+j*j*0.8+m*m*0.9
print a
While starting over with D might make a better framework for
going forward, it might be less work than you think to speed-up
your existing Python code base. Loops in Python are notoriously
slow. The code you're using seems like a classic example of
something that could be sped up. You could write the slow parts
in C with Cython. Alternately, you could play with Numba's @jit.
