Does the physicians rating platform Jameda discriminate against non-paying users? We investigate whether this claim made in an article by the newspaper "Die Zeit" can be supported. For that, we conduct a thorough exploratory data analysis on an extensive data set of the platform. In the end, we come to a fact based conclusion.

Can't find one of your android devices? It is on silent? My second Amazon Alexa skill saves you: your device will ring with full volume and vibrate. It supports multiple devices!

In this multi part post, I will take a look at the bike rental system in Cologne. Following up on the previous work we start digging into the data using descriptive statistics. We look at some interesting findings and visualize them using matplotlib and seaborn.

Building on a basic choropleth map, we learn how to add additional interaction for the user. We visualize change in data patterns over time by allowing dynamic control over the plotted data. Moreover, we add animation to our visualization.

Using our bike data, we look at a different method to make a choropleth map. With the help of bokeh it is easy to create nice looking visualizations. They are interactive and can easily be integrated into web applications or websites.

Fahrrad Finder helps German users to quickly learn where the nearest sharing bikes are located.

Amazon has recently added an API for retrieving the location / address of an Alexa device. Learn how to quickly implement it using Python, and create new functionalities for your custom skills.

Alexa is Amazon’s voice guided assistant. It is affordable, has many helpful functions, and can be enhanced with custom skills. Are you missing a feature? Become a developer and implement it yourself! With basic Python knowledge you can quickly learn how to build your own skills.

In this multi part post, I will take a look at the bike rental system in Cologne. In the first part we applied web-scraping and XML parsing to retrieve data and build a dataset of bike locations. Now, we will deal with geospatial tools and map visualization in order to search for interesting patterns in the bike-rental data.

In this multi part post, I will take a look at the bike rental system in Cologne. We’ll be dealing with web-scraping, XML parsing, GeoData and map-visualization in order to search for interesting patterns in bike-rental data. Lets get started with gathering the data!

There are a handful solutions for dealing with unconfirmed bitcoin transactions. However, depending on the case only a few of those might be viable. In this post, I describe how to apply the child pays for parent method in electrum. It is a solution that works most times.

Including images in pelican is simple. Making them look pretty not so much. Here, I describe how to install a lightbox plugin that makes your blog look better.