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Using DAS DataCrame to Scale Larger Datasets
New projects emerge like DuckDB, which provides a scalable ultra-fast local database that runs anywhere you want it to run. A lot of the innovation is really borrowing from the interface that everyone loves with pandas but making it more scalable so that it works on datasets larger than what can fit on a single machine. Do you have any kind of an estimate of how many pandas users there are?