Five Numpy Functions You Should Understand. To help you become an expert. Read now
How to stack your array horizontally and vertically, find unique values, split your array and some more tips to use Numpy effectively.
Numpy is arguably the most used library in data science, just in line with Pandas. It’s the first library you import in every data science project, and in my experience, it’s quite helpful to just know some functions to quickly modify your arrays with the least amount of Googling.
import numpy as np
Thus, spin up your Jupyter notebook as well as your favourite note-taking app, and jot down these functions as you read this article. They will be handy in your most future projects.
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