I honestly couldn't find many implementations of Naive Bayes out there. The famous ones are over engineered to use it as a learning too. I think people appreciate the fact that an article like this for its step-by-step approach.
I went looking for something just like this a few weeks back. The examples I found were all either wildly over-mathematical or terribly unclear. This seems to strike a good balance. Thanks for the writeup!
It's hot right now, but a lot of people don't actually know anything about it. A lot of ML tutorials are either dumbed-down or already pretty technical. People appreciate clear demonstrations of fundamentals.