Python for Data Analysts

Python for Data Analysts

@pythonanalystEnglish flagEnglishProgrammingTier AChannel
Open in Telegram
Subscribers
52K
Growth (7d)
+14
Avg reach
2.9K
Posts / day
0.36
Citations
2

Reach score

Normal

In September 2026, @pythonanalyst reached 5.5% of its 51,880 subscribers per post (2,872 average views), placing it in the lower half of tracked channels its size, an ordinary result. The benchmark is 1,148 tracked channels with 20K-100K subscribers, whose median reach is 9.3%.

Views per subscriber
5.5%
Percentile for its size
35/ 100
Views per post
2,872
Band median
9.3%
Dead35th percentilePushed from outside

Post reach is in the ordinary range for a channel this size. Nothing here suggests bought subscribers.

Measured against 1,148 tracked channels with 20K-100K subscribers (a sample of that band). Views per subscriber falls as a channel grows, so @pythonanalyst is only ever compared with channels of its own size.

How the Telegram reach score is calculated

Subscriber growth

2026-06-10+386 over 71 days2026-09-09

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About

Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics