One of the simplest data structures in pandas is pd.Series. This is a structure like a list or an array. To make a pd.Series in pandas, we can use the `pd.Series()` function.

import pandas as pd
numbers = [17, 43, 74, 20]
series = pd.Series(numbers)

print(series)

In this example, we are using the `pd.Series()` function to make a data object of the type series, and we are placing the list of numbers into this series.

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.