Only for some languages. In Python you have Numpy (1.X with BLAS support. It’s very old, but still superior to anything you can implement from a CG VM, whatever the language. It means float32 for your network. No access to the modern int facilities), Scipy and Panda.
In scipy, you want to use the graph tools (sparse matrices, and graph manipulations like Dijkstra).
For the “minification, encoding, zipping“, there’s no specific trick. When you deliver your code (i.e. out of the CG VM): pickle>lzma>encode(UTF-16). And you do the opposite inside the VM. The code is minified. It’s just a bit easier in Python because most tools are built-in.