Interesting. Are you saying it should moderate the process between business and the BI team and the automatically create the necessary reports to give business people access to the relevant data?
Well, in business, it seems that most deciders have difficulties to find the real important insights in their data. Dashboard are nice, but they often don't reveal the really relevant stuff. They show you only what you know, but no interesting data patterns. I wonder why this is? Is it a tooling issue, a skill problem, ...?
You can ask me directly. We are compiling this and other insights, because we found these issues hundreds of times in the Python code we analyse. Clearly, not everyone is aware of the problem that goes along with wrong mode strings, but even if you do, you might still make a mistake when changing them during refactorings. So I think it is good to be aware. Especially for Python beginners it is a good thing to know. Sorry, if this bothered you. We maintain also a repo on GitHub where you can share any of your your insights: https://github.com/quantifiedcode/python-anti-patterns
Thanks for pulling this out. Even though I assume this is a best case example, savings in that are interesting for sure. Will check you guys out for my next booking!