D for project in computational chemistry

[Yura via Digitalmars-d]

Good afternoon, gentlemen,

just want to describe my very limited experience. I have 
re-written about half of my Python code into D. I got it faster 
by 6 times. This is a good news.

However, I was amazed by performance of D vs Python for following 
simple nested loops (see below). D was faster by 2 order of 
magnitude!

Bearing in mind that Python is really used in computational 
chemistry/bioinformatics, I am sure D can be a good option in 
this field. In the modern strategy for the computational software 
python is used as a glue language and the number crunching parts 
are usually written in Fortran or C/C++. Apparently, with D one 
language can be used to write the entire code. Please, also look 
at this article:

http://www.worldcomp-proceedings.com/proc/p2012/PDP3426.pdf

Also, I wander about the results of this internship:

http://forum.dlang.org/post/laha9j$pc$1@digitalmars.com

With kind regards,
Yury


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

D:

import std.stdio;
// command line argument
import std.getopt;
import std.string;
import std.array;
import std.conv;
import std.math;

// main program starts here
void main(string[] args) {


int l = 1000;
double a = 0;
for (auto i=0;i<l;i++){
         for (auto j=0;j<l;j++) {
                 for (auto m=0;m<l;m++) {
                         a = a + i*i*0.7+j*j*0.8+m*m*0.9;
                         }

         }
}
writeln(a);
}