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Dataframes at scale

The Data Exchange with Ben Lorica

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Pandis and Production Aren't the Same

There's a difference between what the data scientist knows and an inatectical company. The engineer is more knowledge ale about how to productioniz things. And so if they were able to scale, then a lot of the things that data engineers spend their time doing wouldn't be as boring. Even big companies have the same problems using pandasn and running into bottle necks with pandas. You 'ud be surprised how much pandis runs in production.

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