To see all the column names as a list, we have to use this line of code.

We can also get a summary of all the types of data that are in your dataframe. For this, we have to use the following method: **dtypes**. Let's look at the example.

In this section, we will introduce the basics of the series and dataframe  data structures. We will also learn the difference between these structures.

Raw data comes in many forms: CSV, JSON, SQL, HTML, and so on. With pandas, we can work with data in a variety of formats. In this chapter, we will take a closer look at the CSV and TXT formats.

In this section, we will learn how to work with raw data, how to remove unwanted data, and how to work with null values in a dataset.