Exploring Numexpr: A Powerful Engine Behind Pandas

Enhancing your data analysis performance with Python's Numexpr and Pandas' eval/query functions

This article was originally published on my personal blog [Data Leads Future.](https://www.dataleadsfuture.com/exploring-numexpr-a-powerful-engine-behind-pandas/)

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[ Use Numexpr to help me find the most livable city. Photo Credit: Created by Author, Canva ](https://preview.redd.it/29ec8ukgr5qb1.png?width=1200&format=png&auto=webp&s=238da4465da17bd301b49112d574444b16d4113c)

This article will introduce you to the Python library [Numexpr](https://numexpr.readthedocs.io/en/latest/intro.html?ref=dataleadsfuture.com#), a tool that boosts the computational performance of Numpy Arrays. The eval and query methods of Pandas are also based on this library.

This article also includes …

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