This GitHub project explains how loops process each element one at a time, causing slow process time for large datasets. In contrast, vectorized operations use NumPy to compute across entire arrays at once, leveraging optimized, low-level code for much faster performance.
active 2025-02-19 → 2025-02-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2025-02-19 to 2025-02-23. Pushes: 19 total, peak 10 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 |
|---|---|---|---|---|
| LinuxSystemsEngineer | 19 | 19 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
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.