In this tutorial, we will learn how to import existing files into our current working project using Pandas. We will also learn how to work with file formats like CSV (Comma Separated Values), Excel, and JSON (JavaScript Object Notation).

In this tutorial you will learn more about different operations with Pandas. You will see different techniques on how to handle missing data, and combine different datasets. Then finally, about groupby functions and computing function like aggregate, apply, filter and transform.

In this post, we will talk about the essential concepts in the library Pandas. We will see that it is a continuation of the NumPy post.

It’s one of the most important libraries used for data processing, efficient storage, and manipulation of densely typed arrays in Python. Without further ado, let’s start!.