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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Loading in Data
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The video tutorial introduces Pandas, a Python library for handling tabular data, and demonstrates how to import it, download a CSV file, and read it into a DataFrame. It covers checking the type of the DataFrame, exploring data using Linux and Pandas commands, and utilizing functions like head, tail, and info to inspect data. The tutorial uses a stock prices dataset for Starbucks as an example.
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