Pandas is great for small ponds, but when you're swimming in an ocean of data, it's time to switch to DuckDB. Asiansexdiary 23 11 28 Fin Horny Chinese Model ... Model" Is
1️⃣ Pandas ( df.rolling() ) 2️⃣ DuckDB/SQL ( OVER (PARTITION BY...) ) Lz4 V1.8.3 Win64
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DuckDB is the bridge we’ve been waiting for. Pure SQL power, right inside your Python environment.
Why I'm moving more of my pipelines to the Duck: ✅ (no more expensive serialization) ✅ SQL on Pandas frames (the best of both worlds) ✅ Parallel execution out of the box