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Polars vs. pandas: Whats the Difference? [Video]

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Website Design

Data Science

If you’ve been keeping up with the advances in Python dataframes in the past year, you couldn’t help hearing about Polars, the powerful dataframe library designed for working with large datasets.

Unlike other libraries for working with large datasets, such as Spark, Dask, and Ray, Polars is designed to be used on a single machine, prompting a lot of comparisons to pandas. However, Polars differs from pandas in a number of important ways, including how it works with data and what its optimal applications are. In the following article, we’ll explore the technical details that differentiate these two dataframe libraries and have a look at the strengths and limitations of each.

If you’d like to hear more about this from the creator of Polars, Ritchie Vink, you can also see our interview with him below!

In a word: performance. Polars was built from the ground up …

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