[MCC-1500745] Python Lib - Create Usage Jupyter file for Client#41
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Pull request overview
Adds end-user guidance and examples for using the DataConnect Python library, plus a GitHub Actions workflow intended to automate package releases.
Changes:
- Added a usage Jupyter notebook demonstrating common client operations (list studies, search datasets, fetch data, publish).
- Added setup and quick start markdown guides for first-time users.
- Added a
release.ymlworkflow to build and create GitHub releases/tags.
Reviewed changes
Copilot reviewed 4 out of 5 changed files in this pull request and generated 6 comments.
Show a summary per file
| File | Description |
|---|---|
guides/dataconnect_usage.ipynb |
New end-to-end usage notebook (connect, query, transform, publish). |
guides/dataconnect_setup.md |
New environment/setup instructions for installing and running the notebook. |
guides/dataconnect_quickstart.md |
New quick-start steps and a minimal standalone code sample. |
.gitignore |
Attempts to un-ignore the committed usage notebook while ignoring other notebooks. |
.github/workflows/release.yml |
New release automation workflow (build, changelog generation, GitHub Release creation). |
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nmakarava-mdsol
approved these changes
May 26, 2026
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feature
DataConnect Python LibraryMCC-1500745Checklist
git commit --amend --no-editcommand to reduce commit messages when making small file changes (like changing linespacing).tests/folder.doc/folder.Changes Summary
Deployment Notes
N/A