[Discussion] End2end MLOps platform with notebook vs. Testable python modules about madewithml

[GokuMohandas]

Hi @penghanyuan, I'm glad you're finding the content useful (a LOT more to come this July)! This is a great question and it's true that many platform are allowing for production ML directly from notebooks. This is mainly because data scientist / MLEs enjoy developing in notebooks and these platforms are trying to reduce the friction between development and deployment. However, my personal views are that notebooks are great for exploration and proof-of-concepts. And while you could do things like testing within notebooks, the clarity and modularity (ex. packaging) you get from Python scripts / projects is unparalleled. And when putting things into production, you definitely want these capabilities. But there are very successful teams that have some very high stakes models in production so 🤷‍♂️. I would say the most important thing is standardization.