Polars: Working with Data Larger than RAM memory

Опубликовано: 19 Февраль 2026
на канале: Martin Bel

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Code: https://github.com/martinbel/polars-t...

Dataset: https://www.kaggle.com/datasets/mkech...

This video is the fifth of a tutorial series on polars. I explain how to work with larger than RAM data using a dataset that would take 80GB of space in CSV format.

Polars is a FAST DataFrame library in Python that is gaining a lot of attention recently and might replace Pandas entirely.

I hope you enjoy this series! Please subscribe and like the video to support the channel

Timeline:
0:00 Intro
0:39 Reading a sample file
1:40 Aggregate data on the sample
2:42 Lazy Mode
3:23 Aggregating out of RAM data
4:30 Data Visualization