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People should be aware that we will now provide a Python async and node.js sync (to go with their pre-existing sync/async counterparts) clients, so they can decide what works for their application.
My guess is that this is because async connections execute queries using a separate thread from the calling thread, and thus the dataframe isn't scope for the executing thread. Not sure if there's an easy fix for this but we should document this to start.
People should be aware that we will now provide a Python async and node.js sync (to go with their pre-existing sync/async counterparts) clients, so they can decide what works for their application.
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