The problems with Python are performance and tooling, especially dependency management and deployment. Figuring out the happy path is highly dependent on your particular circumstances. Someone might tell you that Pipenv worked well for them, but when you try it, every single pipenv operation takes 30 minutes. Others tell you that vanilla pip works for them, but you care about reproducibility and they usually respond with some variation of “reproducibility is unnecessary”. Similarly, if you want to deploy statically linked artifacts, you pretty much have to use Docker or one of the zip file solutions (the latter are nice, but they don’t bundle the runtime or .so files—at least in some cases) and these always end up being 10-100 times bigger than an equivalent Go binary (for non-toy programs, anyway) which is a big problem for things like AWS Lambda which has a 250MB limit on binaries. Python the language is easy enough, but all of the things surrounding the language are brutal and for whatever reason we handwave away those concerns as though they aren’t important.