- Install IntelliJ + Scala Plugin
- Don’t do the Coursera courses yet.
- Don’t do the “red book” Functional Programming in Scala yet.
- Do: http://underscore.io/books/
- Essential Scala
- Essential Play
- Essential Slick
- Do Scala for the Impatient: https://www.amazon.com/Scala-Impatient-Cay-S-Horstmann/dp/0321774094
- The Neophyte’s Guide to Scala http://danielwestheide.com/scala/neophytes.html
UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli
. Please find it here: https://github.com/ericmjl/pyds-cli
Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.
Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.
Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!