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hey welcome back all right so we talked about the setting with copy warning and we alluded to the difference between a copy and view in the previous lecture in this one we will more closely explore this important concept and look at ways to avoid the uncertainty and the warning once and for all whatever we index or extract slices or apply a method to our data frame we technically run into this question of whether we are working with a copy or view and to briefly define these terms again of you is like a window into the underlying data its like an opening that gives us direct access to the data what we see is whats really in a date frame and so if we modify what we see we end up modifying the data frame a copy on the other hand is a replica of whats in the data frame it may be a different one or it may look very similar it might even be exactly the same shape including all the rows and all the columns but its still a copy at the end of the day its a different distinct object so if
