Python - Polars vs Pandas - An introduction

This post is first in a series of posts where we are going to look at polars, a new library that is poised to give pandas a serious challenge in the near future (actually that future is already here).

Though one of the most popular python libraries out there, pandas comes with its own set of problems, first and foremost being the speed of execution and large memory usage. In this series

we are going to examine these problems one by one and see how polars conquers them.

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Polars, written in Rust has been built for speed and memory optimization. Polars also supports a host of features that pandas does and with an API similar to pandas, makes it easy for adoption.

In the next part of the series, we will look at the comparison between execution speed of various operations done in polars as well as pandas.

Note:- This article will be updated with the links of future posts.