Aneesh Karve

Aneesh is cofounder and CTO of Quilt Data (YC W16). He specializes in data and visualization. His research interests include machine learning, abstract algebra, and user interfaces.

Data Packages for Fast, Reproducible Python Analysis

The tragedy of data science is that 79% of an analyst’s time goes to data preparation. Data preparation is not only tedious, it steals time from analysis. Data packages make for fast, reproducible analysis by simplifying data prep, eliminating parsing, and versioning data. In round numbers, data packages speed both I/O and data preparation by a factor of 10.

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