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Software Analytics

A repository with my data analysis results of software artifacts

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

Description

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

Table of Contents

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.

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