Last April I gave a talk on PyData Madrid 2016 about recommendation systems. Here is the video in case you wanna check it out. And here is the repository with the slides, code & data.

NOTE: This is a jupyter notebook converted to markdown. As such, it does not look quite good. The original notebook can be seen here. In [41]:   %load_ext watermark %watermark 2016-05-05T15:37:46 CPython 2.7.11 IPython 4.0.3 compiler   : GCC 4.4.7 20120313 (Red Hat 4.

We have all been there. The first time you realize you know enough programming language that you want to make something.  One of the best things the Python community has is that it encourages the newcomers to not only build amazing things, but to share them with everyone, and thus

TL;DR I made a map showing the different residential parking areas in my city. It is the first map of this data that exists, and I am disappointed with the Spanish Government Open Data policies. You can check out the map here. I also shared the code required to

Hey Manuel of the future. Next time you format your ubuntu machine, just do this to fix all those annoying wifi issues. 1. Go to /etc/network/interfaces and edit the file like this: # interfaces(5) file used by ifup(8) and ifdown(8) auto lo auto wlan0 iface lo

In this tutorial, we will dive into recommendation systems. You might not know what recommendation systems are but you see them everywhere on the internet. Everytime you shop on Amazon and you see related products... Or when Netflix recommends you something interesting to watch... The purpose of a recommendation system

Note: (This is a continuation of a previous article in which I explained how to download and plot a heatmap of thousand of tweets sent from my hometown.) You can find the code I used for this tutorial in github. I also uploaded the tweets file so you can follow

I have been wanting to play with the Twitter API for a long time. Last summer, I thought that it would be interesting to plot a map of my hometown (Murcia, Spain, very nice city with amazing food) showing a heatmap of tweets. The idea is that by plotting those

Recurrent Neural Networks have boomed in popularity over the past months, thanks to articles like the amazing The Unreasonable Effectiveness of Recurrent Neural Networks by Andrej Karpathy. Long story short, Recurrent Neural Networks (RNNs) are a type of NNs that can work over sequences of vectors and where their elements

Quick note, might save some headaches to future me. COPY {name} FROM 's3://{bucket_name}/data-{name}' credentials 'aws_access_key_id={AWS_ACCESS_KEY};aws_secret_access_key={AWS_SECRET_KEY}' CSV IGNOREHEADER as 1 GZIP DATEFORMAT as 'auto' ACCEPTANYDATE ; The trick is to use DATEFORMAT as