During today's session, we will delve into how to add and remove rows from a DataFrame in Pandas. These are vital tools for data manipulation, whether adding new entries or eliminating unnecessary data.

Consider it analogous to adding a name to your contacts or deleting an item from your shopping list. We will be carrying out similar operations but with a DataFrame. Let's begin:

A DataFrame, a central data structure in Pandas, is a tool for storing data in table form. Each row contains values correlated to an individual entry in our data. For instance, each row of a grocery list might represent a unique grocery item.

Each row features an index, a unique identifier. Now, let's create a DataFrame:

Multiple scenarios might necessitate adding new entries to our DataFrame. Let's explore how to accomplish that:

In modern pandas, we use pd.concat() function to incorporate new rows. If you forgot to add 'Pears' to your grocery list, here’s how to do it: