Twelve software design tips for data scientists

I came upon this github repository with some nice tips for data scientists who want to learn a bit about software programming and write better code, i.e. code that can scale up and is easier to maintain in the future. Everything is explained over there, so I will just give the link! :slight_smile:

That said, I am a software engineer/programmer and a data scientist wannabe :slight_smile:
Who has the counterpart of this article, and has tips for the software programmer who wants to know more about data science? :wink:

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For a very good introduction to the most important ideas I would recommend “learning from data: a short course” book, which was written by some caltech professors, if I don’t misremember. The password in the webpage with the book is “hypothesis”. http://amlbook.com/

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