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[Télécharger] A Guide to Reproducible Code in Ecology & Evolution

par Frédéric Magné - publié le

The way we do science is changing – data are getting bigger, analyses more complex, and governments, funders and the scientific method itself demand transparency and accountability in research. One way to deal with these changes is to make our research is reproducible, especially our code. This guide covers all the basic tools and information you need to start making your code more reproducible.(...)
A Guide to Reproducible Code covers all the basic tools and information you will need to start making your code more reproducible. We focus on R and Python, but many of the tips apply to any programming language. Anna Krystalli introduces some ways to organise files on your computer and to document your workflows. Laura Graham writes about how to make your code more reproducible and readable. François Michonneau explains how to write reproducible reports. Tamora James breaks down the basics of version control. Finally, Mike Croucher describes how to archive your code. We have also included a selection of helpful tips from other scientists.

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