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Recently, I left my job as a data scientist at DataCamp to focus full time on two areas:
co-directing the non-profit Code for Philly bringing the magic of dplyr to python In order to do the second part, I’ve worked over the past year on a data analysis library called siuba. As part of this work, I’ve found myself often discussing siuba’s hardest job: making grouped operations…
Recently, I left my job as a data scientist at DataCamp to focus full time on two areas:
co-directing the non-profit Code for Philly bringing the magic of dplyr to python In order to do the second part, I’ve worked over the past year on a data analysis library called siuba. As part of this work, I’ve found myself often discussing siuba’s hardest job: making grouped operations a delight.
In this post I’ll provide a high-level overview of three key challenges for porting dplyr to python.Read on /posts/2020-02-11-dplyr-in-python/ ↗
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