This project uses a PostgreSQL database adapter to create a relation and populate it with data from a collection of PubMed citation documents. It demonstrates the integration of Python with PostgreSQL for managing and analyzing data, specifically focusing on parsing XML files, data insertion, and performing SQL queries for analysis.
active 2024-02-14 → 2024-04-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 51 days from 2024-02-14 to 2024-04-04. Pushes: 39 total, peak 19 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| iAmGiG | 39 | 39 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.