In Part 1, we covered the basics of NumPy, including mean(), min(), max(), array slicing, indexing, shape, and more.
If you haven't completed Part 1 yet, I recommend practicing those concepts first before moving on to Part 2.
Python Numpy Part 2
Filtering
"Filter" word is a very familiar to understand that we get the value that we need for data analysis or other tasks.

