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I'm a bit green on infrastructure & deployment but I don't quite get this. If your ML algorithm code is still Python how does deployment with Go make that much
by cutler 7y ago
I'm a bit green on infrastructure & deployment but I don't quite get this. If your ML algorithm code is still Python how does deployment with Go make that much difference? It sounds like you're not replacing the Python ML code so why is this such a big deal?
- cigaaa 7y agoI don’t think people who work in infrastructure currently will be surprised that Go is a better choice than Python for infra, but for those who are newer to the field of ML or only work on model development (vs deployment), it is likely surprising that a major part of production ML is best done in a language other than Python.
- threeseed 7y agoI don't buy this comment at all. I've worked with hundreds of Data Scientists, many new to the industry and they all know that R and Scala are important and popular languages for ML. Majority of Data Engineering today is using Spark, which is written in Scala and even when you write Python code using it you can't escape Java/Scala internals being exposed.
- 7thaccount 7y agoIs Scala really that prevalent? R & Python for sure.
- apta 7y ago> It sounds like you're not replacing the Python ML code so why is this such a big deal? How would you write an article about moving to a hipster language then? :-)
- cutler 7y agoI've re-read your reply a few times but I honestly don't get your point.