Benchmarking different ways to process two columns simultaneously.

I had to (or at least I thought I had to) implement a transformer to be used in a sklearn.pipeline.Pipeline. In a nutshell, I implemented badly the transform method. The original version can be found in this gist. In the following version I fixed it. Furthermore, I left …

TL;DR The function pandas.DataFrame.values is not the inverse of pd.DataFrame(np.array). Introduction An important part of reproducible data science work, is the ability to apply the DAG on the very same dataset. Simplest option is to commit the datasets to a VCS like git. This …

The 90s are back and it turns out that cross platform approach doesn't apply for MS SQL Server.

Playing around with decision trees on a dataset of mushrooms

Mostly notes for myself on what items I installed on a new machine. You might be interested as well.

Introduction I recently discovered Atom. In the past, I've been using Emacs but not so long ago I realized that it is time to move on. Sublime Text 3 was the next editor, but only for a short while. Getting to know Atom and the fact it is free made …

Outline how to utilize Jupyter notebooks.

How did I install Spark on my macOS