Faster Alternative to 01_Getting_&_Knowing_Your_Data - World Food Facts Step 11

[yusufuyanik1]

My propesed solution for step 11 is:
food.iloc[:, 7][18]
instead of:
food.values[18][7]

Picking an index from a Series works much faster than picking it from an numpy.ndarray
We can first pick the product_name column as a series and then find the product at the requested index.
You can find the processing time difference on my system below:

Note:
I wanted to create a PR instead of an issue but when I checked the differences on such a small PR, I see a lot of differences in json format, which is difficult to read.
Does anyone know if we should post PR's like that on an .ipynb file or is there a cleaner way to do so?