Why Are Regular Expressions Used in Data Science? ✅ 1. Data Cleaning & Preprocessing – Remove special characters, extra spaces, and noise. ✅ 2. Text Searching & Filtering – Extract emails, phone numbers, or specific patterns. ✅ 3. Data Extraction & Web Scraping – Parse HTML, logs, or structured text data.
active 2025-02-12 → 2025-02-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-02-12 to 2025-02-12. Pushes: 3 total, peak 3 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
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- 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 |
|---|---|---|---|---|
| f219066 | 3 | 3 | 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.