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FireDucks: Pandas but Faster

(hwisnu.bearblog.dev)
374 points sebg | 1 comments | | HN request time: 0.211s | source
1. Kalanos ◴[] No.42193504[source]
Regarding compatibility, fireducks appears to be using the same column dtypes:

```

>>> df['year'].dtype == np.dtype('int32')

True

```