In my previous post, I showed how it was possible to "scrape" a cohort of real estate prices from the internet together with the latitude, the longitude and a few other attributes on the properties. In this post, I will turn to one type of analysis that can be carried out with this data: the estimation of apartment prices at any location in-between.

Over the last decade, a number of open source tools have emerged, revolutionizing the fields of data collection, analysis and inference. Among those, the Python language appears to be getting the most attention. In this piece, which opens my new series about Python and Real Estate Data, I will illustrate how one can gather substantial amount of data at virtually no cost.