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what is going on guys welcome back in todayamp;#39;s video weamp;#39;re going to learn how to load huge CSV files into pandas by chopping them up into chunks and loading them step by step so let us get right into it alright so one problem that you will encounter as a data scientist is that you have to process huge data sets maybe consisting of multiple gigabytes of data so for example you might have a CSV file that has 50 gigabytes of data and you only have 32 gigabytes of RAM because what pandas does when it loads a CSV file and converts it into a data frame is essentially it parses it it converts it and then it keeps it in the ram so that we can work with it so we have the object data frame or data equals pandas dot read CSV we read the CSV file and then we have this data frame we can apply operations we can um filter we can query we can do all sorts of things because this data frame is in the ram so whatever we do is done in the ram we have the full data set in the ram how