Closer to software development

Hi all!

After completing Data Scientist in Python course I’ve faced one issue - I know nothing about how exactly model could be deployed to production. Of course there are different tech stacks runing and there is no one possible solution to all of them. And i suppose without applying to DS job I can’t know what tech stack will be faced by me in future.

Maybe someone coud give an advice on resources (books, articles, courses) which could give a right direction in using:

  • name = “main”
  • request for model prediction
  • calling scripts inside scripts
  • creating badasss OOP functions