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12:31
YouTube
Sean MacKenzie Data Engineering
Python on Snowflake: How to Get PyArrow Table Output From a Data Warehouse
In this episode, we're looking at the Snowflake Connector to see how we can get native Apache PyArrow tables as output from our Snowflake database. There are many projects using PyArrow instead of libraries like Pandas, because PyArrow is generally faster and can handle very large datasets better (though this is changing as Pandas uses PyArrow ...
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Sep 5, 2023
Pyarrow Vs Pandas
Polars vs. pandas: What’s the Difference? | The PyCharm Blog
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2 months ago
0:09
🔥 Pandas vs Polars: Who wins the speed race? 🏎️💨 Working with millions of rows? Choosing the right library can save HOURS! 📊⚡ ✅ Polars reads data up to 6x faster ✅ Saves CSVs 5x faster ✅ Groups filters blazing quick ✅ Uses way less memory ✅ Built for BIG data performance lovers Pandas is still amazing for flexibility and ecosystem support… but Polars is the new performance KING 👑🚀 Which side are you on? Team 🐼 Pandas or Team 🧊 Polars? Tell in comments! ⬇️ 📲 Follow @datasciencebrain for
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