2.1. Introduction

Pandas offers a wide range of functions to read data from various sources, such as CSV files, Excel files, SQL databases, and more. You can perform operations like filtering, sorting, grouping, merging, reshaping, and aggregating data using Pandas. It also integrates well with other popular libraries in the Python ecosystem, such as numpy and matplotlib.

It provides powerful data structures and functions to efficiently work with structured data, such as tabular data, time series, and more. With pandas, you can easily load, manipulate, analyze, and visualize data for tasks like data cleaning, exploration, transformation, and modeling.