Version Control: Difference between revisions
From Stat DS Computing Wiki
No edit summary |
|||
| Line 14: | Line 14: | ||
https://36-750.github.io/tools/version-control/ | https://36-750.github.io/tools/version-control/ | ||
|Git and GitHub are the industry standard for version control and collaboration for codebases | |Git and GitHub are the industry standard for version control and collaboration for codebases | ||
| | |||
| | |||
|- | |||
|Experiment management (TBW) | |||
|Keeping track of parameters/settings for individual experiments | |||
| | | | ||
| | | | ||
|} | |} | ||
Revision as of 08:04, 10 April 2026
Version Control refers to the the process of tracking historical changes to your research workflow, and more importantly specifying which version of your workflow produces which set of results. This is helpful for keeping track of promising directions in the early stages of development, but it also builds trust with the broader academic community when the origin of every published result is clearly outlined.
Back to Beginner's Guide to Computation in Statistical Research
Tools and Procedures
| Title | Description | Technical Level | Relevance |
|---|---|---|---|
| Git and GitHub (TBW) | Git and GitHub are the industry standard for version control and collaboration for codebases | ||
| Experiment management (TBW) | Keeping track of parameters/settings for individual experiments |
