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Channel

Python jobs — вакансии по питону, Django, Flask

@pydevjob

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

9,715subscribers

+189 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001362026498
TypeChannel
Username@pydevjob
DescriptionЛучшие вакансии для питонистов. По рекламе: @tproger_sales_bot Учиться у нас: https://proglib.io/w/908673cc Для обратной связи: @proglibrary_feeedback_bot Наши каналы: https://t.me/proglibrary/9197
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/pydevjob

Topic

Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

9,5269,7159,620.56 August 2026 — 9,526 subscribers6 August 2026 — 9,527 subscribers9 August 2026 — 9,533 subscribers12 August 2026 — 9,549 subscribers15 August 2026 — 9,560 subscribers18 August 2026 — 9,567 subscribers22 August 2026 — 9,581 subscribers25 August 2026 — 9,582 subscribers28 August 2026 — 9,597 subscribers3 September 2026 — 9,611 subscribers8 September 2026 — 9,614 subscribers12 September 2026 — 9,631 subscribers17 September 2026 — 9,635 subscribers26 September 2026 — 9,645 subscribers5 October 2026 — 9,654 subscribers10 October 2026 — 9,658 subscribers14 October 2026 — 9,654 subscribers17 October 2026 — 9,650 subscribers19 October 2026 — 9,651 subscribers23 October 2026 — 9,668 subscribers26 October 2026 — 9,666 subscribers29 October 2026 — 9,686 subscribers1 November 2026 — 9,699 subscribers4 November 2026 — 9,708 subscribers7 November 2026 — 9,715 subscribers6 August 20267 November 2026
25 measurements spanning 93 days, net +189. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 9,498–9,743 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Nov 2026, 05:519,715+7
4 Nov 2026, 10:479,708+9
1 Nov 2026, 20:549,699+13
29 Oct 2026, 13:509,686+20
26 Oct 2026, 10:169,666-2
23 Oct 2026, 09:179,668+17
19 Oct 2026, 22:569,651+1
17 Oct 2026, 01:389,650-4
14 Oct 2026, 11:549,654-4
10 Oct 2026, 21:009,658+4
5 Oct 2026, 01:599,654+9
26 Sept 2026, 09:229,645+10
17 Sept 2026, 05:159,635+4
12 Sept 2026, 20:199,631+17
8 Sept 2026, 16:159,614+3
3 Sept 2026, 17:229,611+14
28 Aug 2026, 08:049,597+15
25 Aug 2026, 11:439,582+1
22 Aug 2026, 07:459,581+14
18 Aug 2026, 20:439,567first reading

Engagement

50 posts held, back to 21 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 9,715 subscribers
Avg views / post
1,140
27 posts measured
Reaction rate
0.176%
reactions ÷ views · ER floor
Posts in window
27
of 50 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 18 of 27 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held50 (21 July 2026 – 8 November 2026)
Views total30,745
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 10:28 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈204
Videos
≈14
Links
≈2,230

Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

60 reactions across 26 posts, in 3 distinct kinds. The most used accounts for 53.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤔3253.3%
❤1626.7%
👍1220.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 29 of the 50 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 50 most recent posts we hold, published 21 July 2026 to 8 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 27 posts held from the last 30 days (3.70%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 09:00 UTC233 views1 reactionsread 8 November 2026

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👍1

7 Nov 2026, 09:01 UTC526 viewsread 8 November 2026

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6 Nov 2026, 09:03 UTC724 views1 reactionsread 8 November 2026

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🤔1

5 Nov 2026, 13:00 UTC827 views2 reactionsread 8 November 2026

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👍1🤔1

5 Nov 2026, 08:29 UTC830 views1 reactionsread 8 November 2026
Photo

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👍1

4 Nov 2026, 09:01 UTC885 viewsread 8 November 2026

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3 Nov 2026, 09:03 UTC≈1,010 viewsread 8 November 2026

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🤔1

1 Nov 2026, 09:05 UTC≈1,240 views5 reactionsread 8 November 2026

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🤔4❤1

31 Oct 2026, 09:02 UTC≈1,270 views1 reactionsread 8 November 2026

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30 Oct 2026, 09:00 UTC≈1,330 views2 reactionsread 8 November 2026

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👍1🤔1

29 Oct 2026, 09:01 UTC≈1,340 views1 reactionsread 8 November 2026

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❤1

Showing the 12 most recent of 50 posts we hold for @pydevjob. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts recorded as deleted after publishing

We recorded 1 post on @pydevjob as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
15 August 2026
Most recent seen missing
15 August 2026
Median time before seen missing
15 days
Seen missing in the last 30 days
0

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Python Job | Вакансии | Стажировки
@job_python · 23,433
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 19 September 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 36,981
Telegram ranks this channel #6 of 84 here — alongside 83 others — read 1 September 2026
Артём Шумейко
@artemshumeiko · 19,787
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 29 September 2026
Zen of Python
@zen_of_python · 18,653
Telegram ranks this channel #25 of 91 here — alongside 90 others — read 5 October 2026
Python/ django
@pythonl · 58,331
Telegram ranks this channel #60 of 84 here — alongside 83 others — read 22 August 2026
Pythonist.ru - образование по питону
@pythonist_ru · 23,888
Telegram ranks this channel #65 of 82 here — alongside 81 others — read 17 September 2026
Поколение Python 🐍
@pygen_ru · 50,318
Telegram ranks this channel #65 of 93 here — alongside 92 others — read 25 August 2026
IT Jobs | Вакансии в IT
@devs_it · 19,464
Telegram ranks this channel #68 of 93 here — alongside 92 others — read 5 October 2026
Python вопросы с собеседований
@python_job_interview · 24,914
Telegram ranks this channel #68 of 90 here — alongside 89 others — read 15 September 2026
Python Developer
@python_tg · 21,215
Telegram ranks this channel #71 of 85 here — alongside 84 others — read 25 September 2026
Senior Python Developer
@seniorpy · 39,177
Telegram ranks this channel #82 of 92 here — alongside 91 others — read 30 August 2026
Библиотека программиста
@proglibrary · 77,665
Telegram ranks this channel #82 of 82 here — alongside 81 others — read 19 August 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Python jobs — вакансии по питону, Django, Flask” (@pydevjob), 9,715 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/pydevjob.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.