There’s also the whole range of analytics use cases that does not need any form of ML. The Python ecosystem has extremely robust tooling that makes this work easy. Rust tooling for dataframes etc is getting there, but it’s not reasonable to expect all analysts to learn Rust.

Does Golang have any libraries for dataframes and ad-hoc analysis, that works in something like a Jupyter notebook?

Reply to this note

Please Login to reply.

Discussion

as i mentioned elsewhere, my thing is protocols and distributed consensus, and go is the best language for this kind of work, and it is what the language was built to do, it's just my assertion that it generally makes for better quality code IF PEOPLE FOLLOW THE IDIOM unlike way too many go coders in the bitcoin/lightning/nostr space