Managing Packages for Open Source Data Science

With over 15,000 R packages on CRAN, over 230,000 on PyPI, and more arriving every day, the task of managing a package environment for data science in R and Python can be daunting.

Managing Packages for Open Source Data Science

February 17, 2021

What You'll Learn

With over 15,000 R packages on CRAN, over 230,000 on PyPI, and more arriving every day, the task of managing a package environment for data science in R and Python can be daunting. In this webinar, you will learn about the most current strategies and tooling for creating and maintaining a reproducible package environment. Whether you’re an individual data scientist or the administrator of an entire RStudio Team cluster, you’ll better understand how you can enhance your ability to work easily and safely with open-source data science packages.

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About the speaker

Alex Gold

Alex is a Solutions Engineer at RStudio, where he helps organizations succeed using R and RStudio products. Before coming to RStudio, Alex was a data scientist and worked on economic policy research, political campaigns, and federal consulting.