29
Subscribers count
355
Views count
2
Uploads
DE
Country
Subscriber & View Count History for PyData Munich
Weekly gained views for the last 12 weeks
Weekly gained subscribers for the last 12 weeks
Statistics summary for PyData Munich
| Date | Views Gained | Total Views | Est. Earnings | Subs Gained | Total Subscribers | New Uploads | Total Uploads |
|---|---|---|---|---|---|---|---|
| 2026-04-03 Fri | 351 | 29 | 2 | ||||
| 2026-04-04 Sat | 351 | 29 | 2 | ||||
| 2026-04-05 Sun | 351 | 29 | 2 | ||||
| 2026-04-06 Mon | 351 | 29 | 2 | ||||
| 2026-04-07 Tue | 351 | 29 | 2 | ||||
| 2026-04-08 Wed | 351 | 29 | 2 | ||||
| 2026-04-09 Thu | +1 | 352 | 29 | 2 | |||
| 2026-04-10 Fri | +2 | 354 | 29 | 2 | |||
| 2026-04-11 Sat | 354 | 29 | 2 | ||||
| 2026-04-12 Sun | 354 | 29 | 2 | ||||
| 2026-04-13 Mon | 354 | 29 | 2 | ||||
| 2026-04-14 Tue | 354 | 29 | 2 | ||||
| 2026-04-15 Wed | 354 | 29 | 2 | ||||
| 2026-04-16 Thu | 354 | 29 | 2 | ||||
| 2026-04-17 Fri | 354 | 29 | 2 | ||||
| 2026-04-18 Sat | 354 | 29 | 2 | ||||
| 2026-04-19 Sun | 354 | 29 | 2 | ||||
| 2026-04-20 Mon | 354 | 29 | 2 | ||||
| 2026-04-21 Tue | 354 | 29 | 2 | ||||
| 2026-04-22 Wed | 354 | 29 | 2 | ||||
| 2026-04-23 Thu | 354 | 29 | 2 | ||||
| 2026-04-24 Fri | 354 | 29 | 2 | ||||
| 2026-04-25 Sat | 354 | 29 | 2 | ||||
| 2026-04-26 Sun | 354 | 29 | 2 | ||||
| 2026-04-27 Mon | 354 | 29 | 2 | ||||
| 2026-04-28 Tue | 354 | 29 | 2 | ||||
| 2026-04-29 Wed | 354 | 29 | 2 | ||||
| 2026-04-30 Thu | 354 | 29 | 2 | ||||
| 2026-05-01 Fri | LIVE +1 | 355 | 29 | 2 | |||
| Daily averages | |||||||
| Last 29 weeks total | +4 |
Last updated 2026-05-01
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About PyData Munich
PyData Munich is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather virtually these days once a month to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.