Training materials
Keywords: data management or fair or jupyter-notebook
and Target audience: Beginners or Students or postdoctoral researchers
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hands-on tutorial
Hands-on for 'Exporting Workflow Run RO-Crates from Galaxy' tutorial
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hands-on tutorial
Hands-on for 'RO-Crate in Python' tutorial
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hands-on tutorial
Hands-on for 'Best practices for workflows in GitHub repositories' tutorial
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hands-on tutorial
Hands-on for 'Submitting workflows to LifeMonitor' tutorial
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hands-on tutorial
Hands-on for 'Inferring Trajectories using Monocle3 (R)' tutorial
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hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Cleaning GBIF data for the use in Ecology' tutorial
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hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook