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# IPA Research Resources | ||
# IPA Data Science, Engineering, and Technology Handbook | ||
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Welcome to IPA's Research Resources! | ||
Welcome to IPA's Handbook for Data Science, Engineering, and Technology! | ||
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> [!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. | ||
## About the Handbook | ||
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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. | ||
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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. |
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