The Data Exchange Podcast: Joel Grus on mastering tools for programming, data science, and machine learning.
In this episode of the Data Exchange I speak with Joel Grus, Principal Engineer at the Capital Group. He previously served as a Senior Research Engineer at the Allen Institute for AI, where he was a core engineer on AllenNLP, a PyTorch-based library for NLP research. Joel is also the author of one of the most widely read books in data science – Data Science from Scratch.
We discussed a range of topics in programing, data science, and NLP including:
- Joel’s new book, Ten Essays on Fizz Buzz, a book that I enjoyed and from which I picked up many Python programming gems.
- Data Science and Machine Learning tools.
- Hiring and managing software engineers.
- Joel’s stint at one of the early “data science” success stories, Farecast (acquired by MSFT).
- Joel’s widely viewed 2018 Jupytercon talk, “I don’t like notebooks”.
- [A video version of this conversation can be found on our YouTube channel.]
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[Image: The Golden Spiral by IPBri]