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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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So far, so good. But what does it look like in concrete terms for ETFs with exposure to GME? Unfortunately, this is not easy to answer, because first a lot of data from different, more or less reliable sources have to be summarized. I have been learning pandas (https://pandas.pydata.org/) lately and wanted to work with a large real-world data set to practice my coding skills. So why not work with such a data set related to GME?
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