On Friday, 16 January 2015 at 20:20:56 UTC, Vladimir Panteleev
On Wednesday, 14 January 2015 at 03:46:39 UTC, Philpax wrote:
I recently wrote a blog post about how I used D/vibe.d to help
find a new house. I haven't publicized it anywhere else yet,
so I'm looking forward to what the D community has to say! You
can check it out here:
D made it easy to model the problem and quickly crunch through
it; I'm pretty happy with how quickly I was able to get decent
results. It's not the most idiomatic of code, but D's
flexibility meant that I could concentrate on the concept
instead of the implementation details.
Heh, I wrote something similar (much much simpler) to find the
best hotel for DConf 2013. The program extracted the hotel's
geographical coordinates, and then queried the Google Maps API
to find the one that had the shortest public transit time
assuming we wanted to arrive at 8:30 AM.
Since then, I started doing it for all important purchases -
TV, AC unit, laptop... The laptop program used a score model
like yours. The biggest issue is that it's hard to find
accurate information on household hardware, especially since
there are a myriad models for each tiny European market.
Here's the hotel program (list.txt is a list of booking.com
By the way, does your blog have a RSS feed for D posts? Then I
could add it to Planet D.
Heh, good to know that other people have taken similarly clever
approaches to decision making :) I don't have a D-specific RSS
feed (my blog's fairly simple, since I haven't written many
posts) but I have one for all posts: http://philpax.me/news.rss.
In the future, I'll consider adding categories and
category-specific RSS feeds.