May 16, 2022, 8:12 p.m. | Avi Chawla

Towards Data Science - Medium towardsdatascience.com

Putting Pareto’s Principle to work on the Pandas library

Photo by Austin Distel on Unsplash

Mastering an entire Python library like Pandas can be challenging for anyone. However, if we take a step back and think, do we really need to be aware of every minute detail of a specific library, especially when we live in a world governed by Pareto’s Principle? For those who don’t know, Pareto’s Principle (also known as the 80–20 rule) says that 20% of your …

data dataframes data science data scientists pandas python scientists time

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst

@ SEAKR Engineering | Englewood, CO, United States

Data Analyst II

@ Postman | Bengaluru, India

Data Architect

@ FORSEVEN | Warwick, GB

Director, Data Science

@ Visa | Washington, DC, United States

Senior Manager, Data Science - Emerging ML

@ Capital One | McLean, VA