Holy Crap! What a lot of irrational, hyperbolic hate for Python. I think everybody should spend their first couple of years working in Fortran IV on IBM TSO/ISPF. No dependency management because you had to write everything yourself. Or maybe [edit: early 90's] C or C++ development where dependency management meant getting packages off a Usenet archive, uudecoding and compiling them yourself after tweaking the config…
Here's some rational "hate" for Python then. I just returned to Python for the first time in a little while to collaborate on a side project and ran into a few tricky-to-debug errors that caused a fair bit of lost time. Know what the errors were? In one case, I was iterating over the contents of what was supposed to be a list, but in some rare circumstances could instead be a string. Instead of throwing a type error,…
Python code needs more testing, more run time type checking of function arguments than a statically typed language. If that's a deal-breaker then one shouldn't be using Python in the first place. What you gain though is some instant gratification, and the ability to get something off the ground quickly without spending time placating the type checker. Its great where your workflow involves lot of prototyping, exploration of the solution space and interactive use (ML comes to mind, but even there int32 vs int64 can byte, correction, bite). I see it as a trade off -- deferring one kind of work (ensuring type safety) over another. Hopefully that deferral is not forever. I like my type safety but sometimes I want that later.
What I typically do is once I am happy with a module and I do not need the extreme form of dynamism that Python offers (something that's frequently true) I take away that dynamism by compiling those parts with Cython.