Some handy scripts for working with markdown articles on learn.microsoft.com
If you want to evaluate machine-learning files for FRESHNESS, see the Freshness Dashboard.
- fix-nb.py - Change notebook links and images to markdown syntax.
- move-to-v1.py - Fix links in a file that you're going to move to the v1 folder.
- include-usage.py - Count how many times your include files are used by your documents.
These scripts are in a new repo - see https://github.com/sdgilley/content-maintenance
Also see these repos for other handy tools:
 (Python) Search images - find text inside images (Python) Search images - find text inside images
 (R) toc-to-csv - convert a markdown table of contents to a csv file (R) toc-to-csv - convert a markdown table of contents to a csv file
 (R) MonthlyReport - Summarizes file modification from git logs (R) MonthlyReport - Summarizes file modification from git logs
