On 17/08/2015 1:11 a.m., Yura wrote:
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);
}
Any chance for when you get the time/content, to create a research paper
using your use case?
It would be amazing publicity and even more so to get it published!
Otherwise, we could always do with another user story :)
