Ten simple rules for writing Dockerfiles for reproducible data science.

Nüst, Daniel; Sochat, Vanessa; Marwick, Ben; Eglen, Stephen J; Head, Tim; Hirst, Tony; Evans, Benjamin D

Nüst, Daniel; Sochat, Vanessa; Marwick, Ben; Eglen, Stephen J; Head, Tim; Hirst, Tony; Evans, Benjamin D.

Afiliação

Nüst D; Institute for Geoinformatics, University of Münster, Münster, Germany.
Sochat V; Stanford Research Computing Center, Stanford University, Stanford, California, United States of America.
Marwick B; Department of Anthropology, University of Washington, Seattle, Washington, United States of America.
Eglen SJ; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, Cambridgeshire, Great Britain.
Head T; Wild Tree Tech, Zurich, Switzerland.
Hirst T; Department of Computing and Communications, The Open University, Great Britain.
Evans BD; School of Psychological Science, University of Bristol, Bristol, Great Britain.

PLoS Comput Biol ; 16(11): e1008316, 2020 11.

Article em En | MEDLINE | ID: mdl-33170857

Assuntos

Ciência de Dados; Guias como Assunto; Linguagens de Programação; Software; Algoritmos; Reprodutibilidade dos Testes

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linguagens de Programação / Software / Guias como Assunto / Ciência de Dados Tipo de estudo: Guideline Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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