A repository with my data analysis results of software artifacts

=> for an interactive tutorial, please visit https://github.com/feststelltaste/software-analytics-workshop-guided

In this repository, I show some examples around mining valuable information out of software artifacts are presented.

This is repository is kind of structured in the following way:

• courses: Some first attempts to create learning materials for students and participants of my talks
• demos: Things I've coded at various meetups and other events
• notebooks: Mostly Jupyter notebooks with showing some Software Analytics with Python, Pandas, jQAssistant, Neo4j and D3
• prototypes: Proof of concepts (finished and unfinished) that I try out occasionally

You can browse through the notebooks and play with them interactivly by clicking on the "launch binder" button above or use the Jupyter notebook viewer.

• My blog: https://www.feststelltaste.de
• My business website: http://www.markusharrer.de
• Some of my talks: https://www.slideshare.net/feststelltaste/