One of the “must have” features lately for data scientists to adopt a particular language or toolset is an intuitive and performant data frame library. Existing data frame libraries for Go seem to be inactive and/or unmaintained. Taking inspiration from the Polars library, I’ve put together a data frame library that is also built upon the Apache Arrow in-memory columnar format for performance and interoperability. Come along for a deep dive into efficiently working with tables of data in Go. With a bit of luck - and open source contributions - we can lay a solid data frame structure on which to build models!