I would put this squarely in the "use Pandas incorrectly" bucket again. As you point out, Pandas is very much geared towards notebooks. Conversely, I would clai

I would put this squarely in the "use Pandas incorrectly" bucket again. As you point out, Pandas is very much geared towards notebooks. Conversely, I would claim your problem is actually one of the benefits of Pandas over something like R and the associated packages. At the very least, you can copy your Pandas code and ship it and collect technical debt. With R, either you make calls to R from Python, which doesn't solve the problem you are having, or you rewrite the code in Python to be usable in your app. This costs time and is the correct way to do things, even with Pandas. I'm sorry you had to handle the technical debt but I hope that was an intentional decision on your project's behalf. As for your other complaints, I would need to see examples because I'm not really sure what you mean. Are you referring to things like "mad" which stands for Mean Absolute Deviation? This I would put into my "grok documentation" bucket because just look up the mad method and it literally gives you the acronym. Would the method "mean_absolute_deviation" really help you? Furthermore, if they used long names like that, statisticians from R (which are the target audience) would have another nothing-burger bullet to use against Pandas.