This repository shows a real-world application where I can use the skills learned in Python. PyBank will show how to analyze financial records for a company. It will cover the date and profit/losses of the company. PyPoll is an example of how I can modernize a rural area's vote-counting process.
active 2023-09-27 → 2023-09-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2023-09-27 to 2023-09-28. Pushes: 2 total, peak 2 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 |
|---|---|---|---|---|
| Robyn2024 | 2 | 2 | 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.