30 Very Useful Pandas Functions for Everyday Data Analysis Tasks

Python's Pandas library is the most widely used library in Python. Because this is the data manipulation library that is necessary for every aspect of data analysis or machine learning. Even if you are working on data visualization or machine learning, some data manipulation will be there anyway. In this article, I will list the Pandas functions that are necessary for everyday use and arguably will be enough to perform the regular data manipulation tasks. For this article, I will use a public dataset from Kaggle called the FIFA dataset. The user license is mentioned here. Let's start talking about the functions: The first function to mention is read_csv or read_excel.