Difference between pandas .iloc and .iat?

Question

I\'ve recently noticed that a function where I iterate over a DataFrame rows using .iloc is very slow. I found out that there\'s a faster method called

Answer 1

iat and at gives only a single value output, while iloc and loc can give multiple row output.
Example:
iloc[1:2,5:8] is valid but iat[1:2,5:8] will throw error