This is a guide to the tools required for getting started for scientific computing for global health ecology e.g., data science, data engineering and scientific web development. This includes a compilation of installation notes to get underway.


v0.0.4 - 26 Feb 2018

How to use?

  1. Follow the steps
  2. Do the core setup
  3. Jump around try things out

Everything is Creative Commons licensed with attribution please, thanks.

By Nico Preston 2017 (CC BY-NC-ND 4.0)

Keywords: data science, tutorial, python, r, javascript, homebrew, jupyter, git, atom

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