Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pandas is its ability to write and read Excel, CSV, and many other types of files. Functions like the Pandas read_csv() method enable you to work with files effectively. You can use them to save the data and labels from Pandas objects to a file and load them later as Pandas Series or DataFrame instances.

We learn how to manipulate CSV files in this Python Programming Tutorial. I will show you how to work with CSV files using the CSV module. After completing this tutorial, you will know how to convert a CSV File to a dictionary in Python. You will learn how to read, parse, and write to csv files using the CSV Reader and CSV DictReader. CSV stands for "Comma-Separated Values".