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.
I wrote a blog post about Defect Analysis, a analysis technique to get insights into how buggy your system might be.
Finally, I had the opportunity to dig into my existing material about data-driven software analysis and created a workshop with two days full of content and exercises. Join me if you want to learn how you can use tools and techniques from data science and graph analysis to analyze your specific challenges in software development in a data-driven way!