That is true, but where are the go libraries for machine learning, tensors, LLMs, equivalents to PyTorch that I see bandied about?
Others have stated that they don’t need such libraries in Go, or that Python just has a glut of libraries that are a sort of detritus obsolete or language version specific.
Why isn’t Go then, THE language of choice for machine learning, analytics, fast prototyping, data conversion, ETL, etc.
What I’ve heard of Rust in comparison is that the syntax of the language & the learning curve is counterintuitive for engagement by non-computer scientists or systems programmers.
Seems expected then that, non comp-sci folks will choose a language that is more accessible, with an ecosystem that lets them get things done in a short period of time.
I would wonder if it it that the experts & heavy users of Go or language architects moving Go forward see any need for a parallel course of engagement to bring Pythonists into the fold or to allow Go to become the language people choose over Python or TypeScript, et al, by providing a best of class approach to quickly prototyping and extending into well architected systems as an underlying function.
