POLARS: A Swift and Powerful DataFrame Library for Analytical Tasks

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Essential to data engineering and data science are the tasks of data manipulation and analysis. Pandas has long been the staple library for these tasks in Python, but it can falter when handling large datasets due to performance issues. This challenge has paved the way for new innovations. Enter Polars, a rapid DataFrame library developed in Rust, celebrated for its impressive speed and efficiency. This blog post will cover what Polars is, the reasons behind its rising popularity, and how you can begin using it for your data projects.

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