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In this video tutorial, the speaker explains how to extract year, month, and date components from a date column in a pandas DataFrame. The example uses a dataset from Capital Bikeshare, which includes features such as trip duration and start date. The session begins with importing the pandas library and setting up a scenario with real dates taken from the dataset. The purpose is to demonstrate how to isolate and extract specific date-related features—year, month, and day—from the datetime format in the dataset.