Training materials
Difficulty level: Intermediate
and Scientific topics: Data structures or Data submission, annotation, and curation or Natural language processing or Phylogenomics or RNA or Software engineering or Transcription factors and regulatory sites
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Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Virtual Environments For Software Development
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Conda Environments For Software Development
•• intermediateSoftware engineering Foundations of Data Science conda jupyter-notebook -
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Subprocess
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
CLI Educational Game - Bashcrawl
•• intermediateSoftware engineering Foundations of Data Science bash game jupyter-notebook -
hands-on tutorial
Python - Globbing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook