Learning Pandas is great. Numpy is also tons of fun. But have you maybe started using libraries to early? Maybe you are still not aware of everything pure Python has to offer. If that sounds like you, you’ll like this article.
This article will cover a couple of pretty cool pure Python functionalities that I use the most often in my daily Data science job. I’m using them exhaustively through the entire data preparation phase (a lot for data cleaning), and even later to aggregate data before plotting. I hope that you can also incorporate those into your projects. While there’s no runtime speed or performance benefit, you will save a lot of time then when you’re implementing this logic from scratch.
Author: Dario Radečić