January 18, 2015
On Saturday, 17 January 2015 at 21:41:15 UTC, Andrei Alexandrescu wrote:
> On 1/17/15 12:18 PM, Meta wrote:
>> On Wednesday, 14 January 2015 at 03:46:39 UTC, Philpax wrote:
>>> Hey everyone,
>>>
>>> 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:
>>> http://philpax.me/blog/heady-house-hunting-with-d
>>>
>>> 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.
>>>
>>> Thanks,
>>> Philpax
>>
>> Any plans to post this to Reddit/Hackernews?
>
> http://www.reddit.com/r/programming/comments/2sf48d/heady_house_hunting_with_d_xposted_rd_language/
>
> Andrei

maybe we should just link the main websites when creating reddit links instead of the forum?
January 18, 2015
On Friday, 16 January 2015 at 18:44:47 UTC, Robert M. Münch wrote:
> On 2015-01-14 03:46:38 +0000, Philpax said:
>
>> 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: http://philpax.me/blog/heady-house-hunting-with-d
>
> Cool stuff! I saw this: "With real data, this produced a list of ~40 houses with all relevant information included"
>
> Well, my company is doing a mathematics based pricing analysis based on properties (an enhanced multi dimensional regression analysis approach). See: http://www.nlpp.ch
>
> So, if you want to see how the prices shouldbe and which criteria drives the costs, let me know. Houseprices would be a nice showcase I wanted to do for some time.

I'd definitely like to see this. I wanted to try out something similar, but working with unsold houses meant that all the data was in flux (especially price). A more detailed analysis based upon already-sold houses would be quite interesting!
January 18, 2015
On Friday, 16 January 2015 at 20:20:56 UTC, Vladimir Panteleev wrote:
> On Wednesday, 14 January 2015 at 03:46:39 UTC, Philpax wrote:
>> Hey everyone,
>>
>> 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: http://philpax.me/blog/heady-house-hunting-with-d
>>
>> 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 URLs):
>
> http://dump.thecybershadow.net/2ebca3f47b801aed0104585f60b9587e/scan.d
>
> 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.
January 18, 2015
On Sunday, 18 January 2015 at 13:06:06 UTC, Mengu wrote:
> On Saturday, 17 January 2015 at 21:41:15 UTC, Andrei Alexandrescu wrote:
>> On 1/17/15 12:18 PM, Meta wrote:
>>> On Wednesday, 14 January 2015 at 03:46:39 UTC, Philpax wrote:
>>>> Hey everyone,
>>>>
>>>> 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:
>>>> http://philpax.me/blog/heady-house-hunting-with-d
>>>>
>>>> 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.
>>>>
>>>> Thanks,
>>>> Philpax
>>>
>>> Any plans to post this to Reddit/Hackernews?
>>
>> http://www.reddit.com/r/programming/comments/2sf48d/heady_house_hunting_with_d_xposted_rd_language/
>>
>> Andrei
>
> maybe we should just link the main websites when creating reddit links instead of the forum?

I would've preferred that, as I wanted to screen it by the D community before  having it linked to elsewhere. Not a huge deal, though.
January 18, 2015
On 1/18/15 5:06 AM, Mengu wrote:
> On Saturday, 17 January 2015 at 21:41:15 UTC, Andrei Alexandrescu wrote:
>> On 1/17/15 12:18 PM, Meta wrote:
>>> On Wednesday, 14 January 2015 at 03:46:39 UTC, Philpax wrote:
>>>> Hey everyone,
>>>>
>>>> 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:
>>>> http://philpax.me/blog/heady-house-hunting-with-d
>>>>
>>>> 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.
>>>>
>>>> Thanks,
>>>> Philpax
>>>
>>> Any plans to post this to Reddit/Hackernews?
>>
>> http://www.reddit.com/r/programming/comments/2sf48d/heady_house_hunting_with_d_xposted_rd_language/
>>
>>
>> Andrei
>
> maybe we should just link the main websites when creating reddit links
> instead of the forum?

Makes sense, but the one way to ensure that is to just do it. -- Andrei

January 19, 2015
On 2015-01-18 13:49:56 +0000, Philpax said:

> On Friday, 16 January 2015 at 18:44:47 UTC, Robert M. Münch wrote:
>> On 2015-01-14 03:46:38 +0000, Philpax said:
>> 
>>> 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: http://philpax.me/blog/heady-house-hunting-with-d
>> 
>> Cool stuff! I saw this: "With real data, this produced a list of ~40 houses with all relevant information included"
>> 
>> Well, my company is doing a mathematics based pricing analysis based on properties (an enhanced multi dimensional regression analysis approach). See: http://www.nlpp.ch
>> 
>> So, if you want to see how the prices shouldbe and which criteria drives the costs, let me know. Houseprices would be a nice showcase I wanted to do for some time.
> 
> I'd definitely like to see this. I wanted to try out something similar, but working with unsold houses meant that all the data was in flux (especially price). A more detailed analysis based upon already-sold houses would be quite interesting!

Ok, just drop me a not via the contact form / email address.

The nice thing is that all the "market knowledge" is taken into account.

-- 
Robert M. Münch
http://www.saphirion.com
smarter | better | faster

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