Here is an older cheat sheet I’ve found again with some git tricks to get data from source code repositories for data-driven software analytics or for getting some initial insights into a software development project.
Software Archaeology with Git

Here is an older cheat sheet I’ve found again with some git tricks to get data from source code repositories for data-driven software analytics or for getting some initial insights into a software development project.
Gernot Starke hat mich dank seines Blog-Posts daran erinnert, dass ich noch die “Checkliste zur Überprüfung von Softwarearchitekturdiagrammen” teilen wollte.
About this series: People at conferences, training, and meetups often ask me what I would recommend learning X or Y. I’m always happy to give some suggestions depending on the person’s experience level. Unfortunately, this doesn’t scale very much, so here are my general recommendations on learning something effectively (from beginner to a more advanced level). This time: Software architecture.
Why assessing inner software quality is bad for decision-makers (and why customers don’t care anyway…).
With groupby, you can group data in a DataFrame and apply calculations on those groups in various ways. This Cheatbook (Cheatsheet + Notebook) introduces you to the core functionality of pandas’ groupby function.