Training materials
Keywords: jupyter-notebook or statistics
and Target audience: Data Managers or PhD candidates or Students or postgrad
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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 'Supervised Learning with Hyperdimensional Computing' tutorial
•• intermediateStatistics and probability statistics -
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
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Multiprocessing' tutorial
••• advancedSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook