I grew up on python and after working with Java I really came to appreciate types. However I do want to point out that big libraries like mpl pre-date most efforts for typing, so it is no wonder that they arent typed properly. A lot of these libraries are trying to improve this but it will just take some time.
Love Flask, but this has always been a missing tool. I have a question though - it seems like you're actually modifying the response data type for Flask routes so that it's a Pydantic model. Is that an optional approach? While I wish that were the official standard, if it is not optional then I think that's quite a big ask for maintainers of existing APIs who want to use your docs library. Regardless, I'm looking forward to trying it out! Looks great.
Can somebody please eli5 why it is so unanimously accepted that Python's package management is terrible? For personal projects venv + requirements.txt has never caused problems for me. For work projects we use poetry because of an assumption that we would need something better but I remain unconvinced (nothing was causing a problem for that decision to be made).
Maybe I'm not fully grasping lock files then, but why isn't it sufficient to just pin the versions in the requirements.txt? Obviously it doesn't handle the python version itself but I just use pyenv for that. So my stance is just pyenv + venv seems to solve those problems. But then I see people singing the praises of these newer tools and I wonder what I am not getting
I have only ever really used venv. Poetry was fine but didn't give me any additional benefits that I could see. What does this offer? And more broadly, why do people consider pip to be a problem? I have literally never had any issues with it in any of my projects.
I tried to follow along with the textbook before but really struggled with the practical side - R is just another world in terms of dependency management and organisation/documentation (compared to python at least). The book had me install some version of a library that was since unsupported. So I thought I would be a nerd and do everything in python instead, but there I had other problems installing pymc. After some hours of failing I just gave up. Can anyone speak to the state of the dependencies in this edition? Has everything been updated? Versions listed? Would love to give this another shot
Sure there are alternatives and I agree with the author's criticisms overall. But boxplots are a staple in statistics, and if your audience can reasonably be assumed to have some level of statistical training then boxplots are perfectly reasonable in my opinion.