Hey Andre, thanks for the food for thought. I was wondering, as someone who uses pandas heavily, can you think of a rule of thumb to decide when to use one over the other? Or when to use one combined with the other? Like you mention the size of the dataset as the deciding factor but I wonder if you could elaborate on how one could define a rule for how to decide the use. CHeers and thanks!

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AI engineer at K1 Digital and co-organizer of the Deep Learning Sessions meet up in Lisbon. AI |Computer Vision| Data Science| Productivity | Learning

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