Filtering Rows and Selecting Columns (The Right Way)

TL;DR AI
2 min readKey summary
A Pandas tutorial shows how to select rows and columns with both position-based `iloc` and label-based `loc`.
It highlights that `loc` uses labels and includes the end of a slice, while `iloc` works by row position.
After filtering a DataFrame, index labels may no longer match row positions, so `iloc`/`loc` assumptions can break.
Using the right selector makes filtering, column extraction, and slicing more accurate and easier to read.

