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The material for the network analysis course given to GGNB doctoral candidates

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The course "Network analysis in Python" is given to GGNB doctoral candidates each Spring.

Instructors

  • Debsankha Manik
  • Jana Lassar

The Schedule

Type Topic File
Talk Python basics talks/01-pythonbasics-builtins.ipynb
Talk Python libraries talks/02-pythonbasics-libraries.ipynb
Exercise Python basics+libraries exercises/01-exercise-python.ipynb
Talk Introduction to graphs talks/03-graph-theory.ipynb
Talk Introduction to Networkx talks/04-networkx-intro.ipynb
Exercise Basic Networkx exercises/02-exercise-graphs-basic.ipynb
Talk Semi-advanced netwoprk analysis talks/05-networkx-medium.ipynb
Exercise Intermediate Networkx exercises/03-exercise-graphs-medium.ipynb
Talk Visualization talks/06-visuaization.ipynb
Exercise Visualization exercises/04-exercise-visualization.ipynb
Talk Network algorithms talks/07-networkx-algorithms.ipynb
Exercise Advanced Networkx exercises/05-exercise_advanced.ipynb

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