Also, I took a video of this but it was too narrow or something, which was pretty uncool.pic.twitter.com/MerPC0zkTG
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Also, I took a video of this but it was too narrow or something, which was pretty uncool.pic.twitter.com/MerPC0zkTG
Just curious - did you reach for Dask because of memory footprint or to get access to more cores? (Something else?)
This morning: cores over dataframe ops. The picture above is mapped about 300GB (iirc) of json-lines data to a 6 column (of doubles) dataframe that weighed about 8gbs. Decent number of rows.
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