So far, we have covered the extensive functionalities of pandas. We'll try to implement these functionalities in some case studies. These case studies will give us an overview of the use of each functionality and help us determine the pivotal points in handling a DataFrame. Moreover, the step-by-step approach of the case studies helps us to deepen our understanding of the pandas functions. This chapter is equipped with practical examples along with code snippets to ensure that, by the end, you understand the pandas approach to solving the DataFrame problems.

We will cover the following case studies: 

• End-to-end exploratory data analysis
• Web scraping with Python 
• Data validation