Filtering a `pandas` DataFrame refers to selecting rows from the DataFrame based on a certain condition. You can filter a DataFrame using the `[]` operator or the `.query()` method.

For example, suppose you have a DataFrame df with columns `"Name"`, `"Age"`, and `"Gender"`, and you want to select all rows where the `"Age"` column is greater than 30. You can use the following code to filter the DataFrame:



```python
# Filter the DataFrame using 
# the [] operator
df_filtered = df[df["Age"] > 30]

# Filter the DataFrame using 
# the .query() method
df_filtered = df.query("Age > 30")
```

You can also use the `"&"` and `"|"` operators to combine multiple conditions. 

In this project, we are going to understand what Pandas is and why it is so powerful.