Plurrrr

Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else.

As the name suggests, categorical data is information that comes in categories—which means each instance of it is distinct from the others. Names are an example of categorical data, and my name is distinct from your name. On the unlikely chance that your name is the same as mine, I’m sure our government-issued ID numbers, phone numbers, and email addresses are distinct—which are also categorical data.

When working in Python, it sometimes makes sense to implement parts of the program in a static, high-performance language. Go can be a great choice for that because it is fast, simple and cross platform.

If you are like me, every once in a while you write a useful python utility and want to share it with your colleagues. The best way to do this is to make a package: it easy to install and saves from copy-pasting.

If you are like me, you might be thinking that creating packages is a real headache. Well, that’s not the case anymore. And I am going to prove it with this step-by-step guide. Just three main steps (and a bunch of optional ones) accompanied by few GitHub links.