I would expected to see at these two things: 1. That most of the serious solutions in "Python" are actually wrappers for highly optimized machinery in C/C++. If you look at just basic ML stack: Pytorch, Tensorflow, OpenCV, numpy, scipy, XGBoost, so on. all is in C/C++ with wrapper in Python. 2. Language itself. Go syntax is unusable for data-wrangling and data science, while Python is very friendly. I am talking about things like: multi-dimensional arrays and indexing; standard library data structures like sets; short lambdas notation; ternary; errors vs try-catch semantics; operator overloading...
Python is not just webservers, as opposed to Go. Lastly, pure "Python" is slow. But given a lot of serious code is in C/C++ underneath, uses green-treads (like gunicorn), does batch processing, makes lots of GPU calls (which Go has no support at all)... it is debatable if Python is slower than Go. It depends on application. - Nikolay -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/1dcc8d41-23e6-44f3-bf42-da3656500f56n%40googlegroups.com.
