Welcome to IPA's Handbook for Data Science, Engineering, and Technology!
Warning
This handbook is an early work in progress. Feedback, suggestions and contributions are appreciated! Please create an Issue or submit a pull request if there is anything you'd like to see changed or added.
This handbook is intended as a living document to assist IPA staff and collaborators with common practices for writing code and working with data. The handbook will never be comprehensive of every possible software, data object, or shared practice. However, IPA staff working with data and technology are encouraged to use this handbook as a reference and a shared project to give tips and advice for working collaboratively with data analysis and software development.
This repository is also intended as a reference for how to develop code that aligns with best practices for software development. While the repository does not cover all possible applications, software, or scenarios, the nature of this repository is such that it should grow and improve to address the common work patterns that IPA uses for writing source code for data science, engineering, and infrastructure management.