Training materials
Difficulty level: Intermediate
and Contributors: Bazante Sanders or Dr. Konstantinos Sidiropoulos or Dr. Martin Graham or Jure Dimec or Michael Krone or Prof. Tom Freeman or Sabine Österle or Vitor Sousa or Wolmar Nyberg Åkerström
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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
Python - Globbing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Argparse
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Make & Snakemake
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Advanced CLI in Galaxy
•• intermediateSoftware engineering Foundations of Data Science bash jupyter-notebook -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics
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