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this video is going to show a nice application of list comprehension and what im going to do is im going to find all of the columns in this data frame okay from this stock exchange index data all of the columns that are numeric so let me just look at what this data frame looks like so these first two columns are not numeric but the rest of them are and so if i check df.dtypes and theres no great way for you to predict in advance like should there be parentheses after after the name or not just something you have to get used to this kind is called an attribute this kind is called a method okay methods are like functions so when i see object for the data type what i usually think is string even though there are some other possibilities that would also be called object in pandas and these floats float is like a real number like a decimal number so thats what the float part stands for so i mean if i want it i can just look at it and say okay these six are the numeric columns well what