[isoprophlex]

I like the sentiment and I'm usually first in line to ridicule the 'npm install left-pad' crowd, but this doesn't always fly. Python is a great glue language to mash high performance C/fortran components together. One does not simply write sklearn or pytorch from scratch.

[shanebellone]

"Python is a great glue language to mash high performance C"

This is exactly what I'm starting to work through. After 6 years of Python, I've finally hit the limit of what I can do with it. Now I'm working to rebuild an algorithm in C to reconnect to the Python application.

"One does not simply write sklearn or pytorch from scratch."

I also agree with this. Would either be in a product though? Personally, if it's not a product, I wouldn't mind dependencies.

[anakaine]

Yes, they are in at least one product I can think of, and likely more. That product deploys its own conda environment and includes a huge amount of spatial analytical tools. Governments and large private enterprise the world over use ArcGIS Pro, as do many NGOs and education institutions, which is a massive leap forward for both desktop and highly integrated Web GIS work.

I'd be prepared to be a bit of blind money that other industry tools use a similar setup where the python libraries permit an exceptional cadence of development and help place those vendors products at the pointy end of the market.

How they manage dependency security isn't super clear. They're always a couple of version behind, so perhaps it's a CI/CD QA/QC thing which also includes security.