Preface
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.
Version
v0.0.4 - 26 Feb 2018
How to use?
- Follow the steps
- Do the core setup
- 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