If you're a developer transitioning into data science, here are your best resources

It seems like everyone wants to be a data scientist these days -- from PhD students to data analysts to your old college roommate who keeps Linkedin messaging you to'grab coffee'. Perhaps you've had the same inkling that you should at least explore some data science positions and see what the hype is about. Maybe you've seen articles like Vicki Boykis' Data Science is different now that states: Concepts like unit testing and continuous integration rapidly found its way into the jargon and the toolset commonly used by data scientist and numerical scientist working on ML engineering. What's not clear is how you can leverage your experience as a software engineer into a data science position. Are there best practices or tools that are different for data scientists?