The purpose of the task is to demonstrate the effectiveness of Python libraries, particularly through the example of array manipulations and mathematical operations. It compares two methods: manually coding iterations for operations such as matrix multiplication or array product on 1-D and 2-D arrays, versus using the NumPy library.
active 2024-04-22 → 2024-04-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-04-22 to 2024-04-23. Pushes: 8 total, peak 6 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 |
|---|---|---|---|---|
| vapdif | 8 | 8 | 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.