This repository contains several interactive programming examples for introducing people to the world of Software Analytics with Jupyter Notebook, Python, pandas, and Co.
The main idea is to give you enough material to get you started with Software Analytics. Thus, you can click on the following button to create an online environment without any installation efforts:
From there, a good start are the so-called Jupyter Notebooks in tutorial. You'll be guided through some examples of Software Analytics. After this, I recommend that you take a tour through cheatbooks. Here you can get additional information about using the data analysis framework "pandas" to conduct data-driven software analyses. After this, you can try to solve some of the exercises that contain possible solutions for the tasks if you got stuck.
You find the following content in this repository:
cheatbooks: introductory examples into the world of data analysis with python, pandas & co.datasets: various data from software systems or the like that is going to be analyzedexercises: a collection of exercises you can tackle once you know enough about Software Analytics (incl. possible solutions)tutorial: a self-study tutorial that introduces you to the art of Software Analytics with Data Science tooling
- Found a bug? Is something not understandable? Got ideas for new stuff? Let me know by filing an issue in this GitHub repository!
If you look at a repository without the solution, please take a look at the workshop repository without solutions.
If you want to challenge yourself or your team with Software Analytics related questions, take a look at Software Analytics Katas.
From time to time, I also give Software Analytics workshops via INNOQ. You can also contact INNOQ directly if you want to have me for a company-internal Software analytics workshop.
You want to know more about Software Analytics? Please visit my info page at https://softwareanalytics.de/!