@pythonist_ru: statistics and cleanliness index
Pythonist.ru - образование по питону
Pythonist.ru - помощь в подготовке к собеседованию на позицию Python Developer. Реклама: @anothertechrock РКН: https://rknn.link/car
data from 2026-10-12
- Subscribers
- 23,996
- Median views
- 1,755
- ERR
- 7.3%
- Posts sampled
- 40
Data from 2026-10-12 — fresh.
Assessment summary
The channel publishes curated IT job listings for Python developers, logic puzzles, and language syntax breakdowns.
Posts are seen by a smaller share of the audience compared to most similar channels in the directory; however, infrequent posting — 0.6 posts per day — allows ads to stay in the feed for a long time, so placements here won't get lost in the noise.
About the channel
An educational channel for programmers featuring weekly Python job digests, practical logic and algorithm challenges, as well as syntax explanations and resume tips. The feed has been maintained in Russian for more than six years, primarily in the format of illustrated notes.
Among channels in the directory with similar topics, a post is viewed by a larger share of subscribers than in @vakansii_it and @koteyka_freelancer, but a smaller share than in the specialized channel @jobfortester.
What they post:
- Vacancies: weekly curated job offers for Python developers of various seniority levels, complete with salary ranges and work formats.
- Challenges and code: logic puzzles and algorithmic tasks with solution examples.
- Language theory: concise breakdowns of Python syntax, operator functionality, and standard libraries.
- Career: advice on passing interviews and crafting resumes for IT professionals.
In terms of subscriber count, the channel is in the middle of the "Computer Technologies" niche, with posts mainly published on weekdays during Moscow daytime hours. Readers can expect a calm, specialized feed with infrequent, concise posts free of visual clutter.
By subscribers, it ranks #44 of 76 channels in the Computer science niche of the catalog.
What grade A+ means
The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.
Compared with similar channels
Compared with 29 Computer science catalog channels whose metrics look normal. They are a similar size: 8,647 to 61,708 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Dynamics and anomalies
Views by post
The latest 40 posts with views, from Aug 8 to Oct 12. The dashed line is the median (1,755).
- post views
- 1 post newer than one day and still gaining views
- median 1,755
Maximum: 2,281 views. Data as of Oct 12.
No deviations in views. Views are only part of the metrics, so look at the whole index.
Cleanliness-index history
3 checks for this channel.
Advertising outlook
Advertising placement: reasonable.
About 748–1,495 people will see your post in the first 48 hours.
Reach of advertising posts
Too few advertising posts to compare: 2. 1 more are too fresh.
Without an ad label: 1 post.
Buy advertising
Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
Forwarding links
@pythonist_ru forwards posts from
- @pythonrabota add to the catalogadd
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Questions about @pythonist_ru
What is the integrity index of the @pythonist_ru channel?
The channel's integrity index is 91 out of 100 (grade A+, "metrics are normal" level). No signals reducing the index were detected during the check.
What share of subscribers reads the posts?
The ERR is around 7.3%, and the median view count is 1,755 per post. This reach is lower than that of most similar channels in the directory within the computer technologies niche.
Is advertising in this channel worthwhile?
Advertising here is considered worthwhile. Posts are published infrequently (around 0.6 posts per day), so promotional messages remain visible to the target audience of developers for a long time.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-12
- Sample
- The latest 40 public posts available at check time.
- Calculation method
- TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
- Factual result
- The @pythonist_ru assessment dated 2026-10-12 uses 40 recent public posts. At that snapshot the channel had 23,996 subscribers, median post views were 1,755, ERR was 7.3%, and the cleanliness index was 91/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/TGinspector_ru.