How to drop rows in Python Pandas | Python Pandas Drop Rows Example

In this Python Pandas Video tutorial, I have shown How to drop rows in Python Pandas. Here I explain, what is a Python Pandas Drop Function. Here, I have shown how to drop rows with examples in Python.
Additionally, I have covered:
1. How to drop rows by indexshown using Python pandas
2. How to drop rows by condition using Python pandas
3. Using Python pandas drop rows with nan in specific column
4. How to drop rows with nan using Python pandas
5. How to drop rows based on column value using Python pandas
6. Using Python pandas drop rows containing string

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Time Stamp:
0:00 - Introduction
0:19 - Read Dataset
01:05 - Drop rows by index
02:13 - Drop rows by condition
05:13 - Drop rows with nan in specific column
06:30 - Drop rows with nan
07:28 - Drop rows containing string
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[razorblade]

if i can drop rows using dataframe.loc with conditions why would i use .drop with conditions to drop rows?

It seems like loc function could replace the drop function, at least when dropping rows based on some conditions. Could somebody knows about this?