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1: Polars
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2: Basic Operations
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3: Polars vs. Pandas
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4: Expression-Based Operations
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5: Lazy vs. Eager Execution
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6: No Index
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7: Filtering With No Index
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8: Index Alternatives
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9: Sorting
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10: Sorting Footguns
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11: Time-Based Operations
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12: Parquet
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13: Parquet With Polars
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Polars is a fast DataFrame library for Python, written in Rust. It was created by Ritchie Vink in 2020 as a modern alternative to Pandas. It's become popular for a few reasons:
Pandas is still the most popular DataFrame library, but I and many others now prefer Polars as a more modern alternative.
I particularly like Polars for: