04 Mar 2018
Have you ever wondered where most Biergarten in Germany are or how many banks are hidden in Switzerland? OpenStreetMap is a great open source map of the world which can give us some insight into these and similar questions. There is a lot of data hidden in this data set, full of useful labels and geographic information, but how do we get our hands on the data?
19 Feb 2018
Here we’ll see how to work with missing values in a Pandas DataFrame on a data set from the World Bank Open Data of the Global Economic Monitor.
06 Dec 2017
There are times being stuck with a load of images that need to be cropped, resized or converted, but doing this by hand in an image editor is tedious work. One tool I commonly use in these desperate situations is ImageMagick, which is a powerful tool when automating raster and vector image processing. Here I’ll introduce a few common commands I had to look up multiple times.
29 Nov 2017
You have a list of addresses, but you need to get GPS coordinates to crunch some numbers. Don’t despair, there is geocoding for this and Python provides some simple means to help to deal with the APIs out there.
16 Sep 2017
Sometimes you need other packages when scripting in Blender. Blender already includes Numpy in its newer versions out of the box which is quite handy. However I often have the need to install new packages to use for my own scripts and add-ons. There is also a way to use an already installed version of Anaconda which I’ll show in this post. It worked for me for Blender 2.77 and 2.79 on Windows.
30 Jun 2017
This article explores an efficient way on how to create tubes, ribbons and moving camera orientations based on parametric curves with the help of moving coordinate frames.
24 Jun 2017
One of the crucial tasks when working with data is to load data properly. The common way the data is formated is CSV, which comes in different flavors and varying difficulties to parse. This article shows three common approaches in Python.
07 Jun 2017
Time conversions can be tedious, but Python offers some relief for the frustration. Here are some quick recipes which are quite useful when juggling with time.
06 Apr 2017
02 Mar 2017
This article is showing a geometric and intuitive explanation of the covariance matrix and the way it describes the shape of a data set. We will describe the geometric relationship of the covariance matrix with the use of linear transformations and eigen decomposition.