Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Your Python example doesn't really support your argument. Python succeeded for data analysis and scientific computing in part because it provided easy access to existing numerical libraries written in C and Fortran. So you got the best of both worlds: ease of use and near-native speed. It would not have succeeded if everything was done in interpreted Python.


> ease of use and near-native speed

And still when we want actual speed we port it to C++ or at least need to use Cython.




Consider applying for YC's Winter 2026 batch! Applications are open till Nov 10

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: