- Published on December 20, 2022
- In Deep Tech
Python’s Pandas vs Polars: Who Wins this Fight in Library
As per the benchmark test conducted by H2O.ai, Polars is way ahead of its competitors
- By Lokesh Choudhary
One of the day-to-day jobs of a data scientist involves preparing datasets. In order to prepare and analyse structured data, one of the most preferred dataframe libraries is Pandas – data scientists swear by it.
Pandas is a Python library for data analysis created in 2008. It is built on top of two core Python libraries, matplotlib and NumPy, and is known for its powerful and flexible capabilities for quantitative analysis. Pandas is used extensively in data science as an essential component of any data analysis workflow. With its rich set of functions and methods for handling and manipulating data, Pandas makes it easy to perform complex data analysis tasks in a simple and efficient manner.
However, two years ago, when the world was fighting COVID-19, Ritchie Vink was planni
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Lokesh Choudhary
Tech-savvy storyteller with a knack for uncovering AI's hidden gems and dodging its potential pitfalls. 'Navigating the world of tech', one story at a time.
You can reach me at: lokesh.choudhary@analyticsindiamag.com.
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