🧑🏫 Practical guide to big data analysis, with Python (mini version)
active 2023-10-24 → 2023-11-01 (UTC)
Complete coverage26,702 / 26,702 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-31 (UTC)
Events
23
Pushes
5
Pull requests
7
Issues
1
Stars
0
Forks
1
Activity over time
Daily event counts in the loaded window
Line chart, 9 days from 2023-10-24 to 2023-11-01. Pushes: 5 total, peak 2 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| pavithraes | 13 | 5 | 5 | 1 |
| kcpevey | 2 | 0 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#5kcpevey2023-11-01 13:02
- Issue comment#3pavithraes2023-10-31 20:48Update content and navigation for pydata NYC
- Pull request#3pavithraes2023-10-31 20:48
- Pull request#4pavithraes2023-10-31 18:57
- Pull request#4kcpevey2023-10-30 19:35
- Pull request#3pavithraes2023-10-29 19:11
- Pull request#1pavithraes2023-10-27 18:10
- Issue#2pavithraes2023-10-27 17:26META - PyData NYC 2023 Prep
- Pull request#1pavithraes2023-10-27 17:13
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.