Pandas vs Rust (Ep. 144)

Episode 144 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Pandas vs Rust (Ep. 144)" was published on March 19, 2021 and runs 31 minutes.

March 19, 2021 ·31m · Data Science at Home

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Summary

Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underdog. Or is it?In this episode I am showing you why that is no longer the case. Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. Useful Links https://github.com/haixuanTao/Data-Manipulation-Rust-Pandas https://github.com/ritchie46/polars https://github.com/rust-ndarray/ndarray

Episode Description

Our Sponsors

This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey. To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience

Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.

Useful Links

https://github.com/haixuanTao/Data-Manipulation-Rust-Pandas

https://github.com/ritchie46/polars

https://github.com/rust-ndarray/ndarray