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1. Polars vs pandas: What's the Difference?

   This tutorial compares Polars and pandas, covering syntax, performance, LazyFrames, conversions, and plotting to help you choose the right library for your data analysis needs.

   2025-10-16 Tags: polars, pandas, data analysis, dataframes, performance, lazyframes, python, data science by klotz
2. Python Pandas Ditches NumPy for Speedier PyArrow

   Pandas 3.0 will significantly boost performance by replacing NumPy with PyArrow as its default engine, enabling faster loading and reading of columnar data.

   2025-05-27 Tags: python, pandas, numpy, pyarrow, data analysis, performance, machine learning by klotz

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