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# Welcome !
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# Welcome !
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This wiki gives a (rough) short list of best practices for scientific simulation works. The most important keywords are *reproducibility*, *organization*, *durability* and *efficiency*. If you follow the advice of this wiki, you should be able to move the pain out of running simulations. Have a read at the topics below:
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This wiki gives a (rough) short list of best practices for scientific simulation
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works. The most important keywords are *reproducibility*, *organization*,
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*durability* and *efficiency*. This wiki proposes solutions to attain these
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goals when doing simulation work (although some solutions can effectively be
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used beyond simulations, e.g. for experimental data).
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The intended readership of this wiki is:
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- New PhD students working on simulations for their thesis. They will benefit
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from most of the pages in this wiki and are required to implement [good
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simulations practices](Research-simulation)
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- Interns working on simulations or just using code in general. They will find
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helpful advice on how to manage code, data and workflows.
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- Anyone interested in code, workflow and/or data management.
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> **Disclaimer**: this wiki is not meant as a tutorial for the software that is
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> referenced. The reader is expected to document themselves thoroughly whenever
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> a particular solution is proposed, to experiment for themselves, and to ask
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> their advisor, or more experienced colleagues, when in doubt.
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## Table of contents
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## Table of contents
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- [Computing environment](Computing-environment)
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- [Research simulation good practices](Research-simulation): a list of
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high level principles that should always be applied when running simulations
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- [Computing environment](Computing-environment): setting up a lasting hassle-free
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computing environment
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- [Workflow management](Workflow-management)
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- [Workflow management](Workflow-management)
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- [Data management](Data-management)
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- [Data management](Data-management)
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# Good simulation practices
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