Super Data Science: ML & AI Podcast with Jon Krohn
790: Open-Source Libraries for Data Science at the New York R Conference
Jun 7, 2024
Data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long share their favorite R libraries at the New York R Conference. Topics include iGraph for transitioning to full-time R programming, Segway package benefits, Snake Make vs. Targets for data cleaning, and intuitive open-source libraries for non-coders.
07:25
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Quick takeaways
- iGraph in R helped Drew Conway transition to full-time R programmer.
- The targets package in R optimized Jared Lander's workflow with automatic DAG creation.
Deep dives
Favorite Open Source Libraries for Data Science - Drew Conway and iGraph
Drew Conway shares his experience with iGraph, an open source package he discovered during his graduate studies, focusing on social network data. He initially contributed to NetworkX in Python but found iGraph to fulfill his data science needs in R. The package, maintained by individuals including a fellow graduate student now involved in generative AI in law, became instrumental in his transition to a full-time R programmer.
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