On Monday, 9 July 2012 at 11:16:45 UTC, Gor Gyolchanyan wrote:

I've put together a code sample, which could demonstrate the awesome power
of D when it comes to getting good results very quickly and safely. Perhaps
it could end up on display for newcomers:

import std.traits;

/// Returns the t-th point on the bezier curve, defined by non-empty set p
of d-dimensional points, where t : [0, 1] and d > 1.
real[d] bezier(size_t d, Number)(Number[d][] p, Number t)
    if(d > 1 && isFloatingPoint!Number)
in
{
    assert(p.length > 0);
    assert(t >= 0.0L && t <= 1.0L);
}
body
{
    return p.length > 1 ? (1 - t) * p[0..$-1].bezier(t) + t *
p[1..$].bezier(t) : p[0];
}

/// Returns k unidistant points on the bezier curve, defined by non-empty
set p of d-dimensional points, where k > 0 and d > 1.
real[d][] bezier(size_t d, Number)(Number[d][] p, size_t k)
    if(d > 1 && isFloatingPoint!Number)
in
{
    assert(p.length > 0);
    assert(k > 0);
}
body
{
    Number[d][] result = new Number[d][k];
    foreach(i; 0..k)
        result[k] = p.bezier(i * (1.0L / k));
    return result;
}

I would not show this to newcomers, as they would probably go running for Go.

This type of code is quite nice and the reason why I think I am better served with D than Go, but newcomers without strong generic programming background in other languages might get scared.

--
Paulo