PYTHON

These Are the 10 Best Lesser-Known Python Libraries You Should Know About

These are some of the best Python libraries that you should know and try

Photo by Andrea Piacquadio from Pexels

Data Science is changing faster than ever, and in learning how to improve our productivity, we need to create some shortcuts, and Python libraries are great for that. If you are new to my blog, here’s one thing that you should know: I love testing Python libraries, and writing about them. I have tried dozens of libraries, and some I like more than others.

So today, I decided to make a collection of my top 10 favorite lesser-known libraries you probably don’t know about but should. So without further adieu, let’s get started!

Lazy Predict

Let’s start with my favorite Python library: Lazy Predict. Lazy Predict is a low-code machine learning builder that allows you to run up to 40 machine learning models with two lines of code.

You need to get your dataset ready, split your data in train and test, and run Lazy Predict. That’s it. After a few seconds, it will return a list of dozens of models and their baseline results.

import lazypredict
from lazypredict.Supervised import LazyClassifier
clf =…