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Wednesday, June 26 • 11:40 - 12:10
Reproducibility with Data Version Control

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Data Version Control (or DVC) is a tool that complements git allowing data files to be versioned and shared easily, as well as enforcing best practices required for reproducible experiments in data science projects. Scientific methods aside, it also makes experimentation not only safer but faster. More details at https://dvc.org/

avatar for Victor Villas Bôas Chaves

Victor Villas Bôas Chaves

Data Engineer, Gupy
Currently a Data Engineer at Gupy, the leading ATS in Brazil. Also committer of open source tools for data science and data engineering like pandas and apache airflow.

Wednesday June 26, 2019 11:40 - 12:10 GMT-03
Room 9 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil