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Data Wrangling using Rust’s Polars

  • Pavan Kumar Narayanan

摘要

So far, Pandas library has been the most famous library for data manipulation and analysis. However, Pandas may face performance challenges when dealing with massive datasets. When dealing with large datasets, we need a solution that can perform well without having to add additional memory and compute. This is where Polars excels. Polars is a fast data manipulation library programmed in Rust programming and integrates well with Python’s data analysis ecosystem. Polars supports lazy evaluation and automatic query optimization, enabling data engineers to handle even the most demanding data wrangling tasks easily.