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Channel

Zen of Python

@zen_of_python

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

18,630subscribers

-446 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001311452586
TypeChannel
Username@zen_of_python
DescriptionПолный Дзен Пайтона в одном канале Разместить рекламу: @tproger_sales_bot Правила общения: https://tprg.ru/rules Другие каналы: @tproger_channels Сайт: https://tprg.ru/site Регистрация в перечне РКН: https://tprg.ru/xZOL
Created27 November 2020 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/zen_of_python

Topic

Technology — 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 10 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

18,63019,07618,8536 August 202611 November 2026
64 measurements spanning 98 days, net -446. 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 18,563–19,143 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 16:0818,630-15
9 Nov 2026, 20:2118,645-8
8 Nov 2026, 08:4718,653-23
7 Nov 2026, 00:3618,676-5
6 Nov 2026, 00:3018,681-3
4 Nov 2026, 22:2518,684-4
4 Nov 2026, 01:1918,688-7
3 Nov 2026, 03:5118,695-10
2 Nov 2026, 02:3118,705-1
1 Nov 2026, 05:2018,706-5
31 Oct 2026, 04:3018,711-4
30 Oct 2026, 06:2718,715-4
29 Oct 2026, 04:5718,719-8
28 Oct 2026, 00:0718,727-3
27 Oct 2026, 01:4018,730-10
25 Oct 2026, 22:3518,740-12
24 Oct 2026, 22:5818,752-3
23 Oct 2026, 20:2718,755-5
22 Oct 2026, 19:2718,760-3
21 Oct 2026, 11:4718,763first reading

Engagement

112 posts held, back to 14 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.45%
avg views ÷ 18,630 subscribers
Avg views / post
1,200
38 posts measured
Reaction rate
0.139%
reactions ÷ views · ER floor
Posts in window
38
of 112 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 17 of 38 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 11 November 2026
Posts held112 (14 July 2026 – 11 November 2026)
Views total45,628
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 16:17 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
≈1,510
Videos
≈202
Links
≈3,720

Lifetime counters from Telegram’s own channel header, read 11 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

341 reactions across 79 posts, in 20 distinct kinds. The most used accounts for 34.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11934.9%
🔥6719.6%
👍5415.8%
😁349.97%
✍195.57%
❤‍🔥133.81%
🎉51.47%
🤔51.47%
😱41.17%
🙈30.88%
🤣30.88%
🆒20.587%
🌚20.587%
👀20.587%
👎20.587%
👏20.587%
😍20.587%
⚡10.293%
🌭10.293%
👌10.293%

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 84 of the 112 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 343 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 112 most recent posts we hold, published 14 July 2026 to 11 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 112 we hold a reading for · 0.9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zen_of_python. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 112 most recent posts we hold for this entry, published 14 July 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 38 posts held from the last 30 days (0%) 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).

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Showing the 12 most recent of 112 posts we hold for @zen_of_python. 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 edited after publishing

@zen_of_python edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 August 2026
Most recent edit
9 August 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @zen_of_python 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
25 August 2026
Most recent seen missing
31 August 2026
Median time before seen missing
6 days
Seen missing in the last 30 days
0

Forward network

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 7 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#77
Не баг, а фича
@bugfeature · 552,118
#78
Data Analysis / Big Data
@big_data_analysis · 2,727
#79
Сиолошная
@seeallochnaya · 81,254
#80
Open Source
@open_source_friend · 52,669
#81
Технотренды
@techno_media · 928,461
#82
Рестарт
@remedia · 667,251
#83
Golang
@Golang_google · 40,453
#84
Инжиниринг Данных
@rockyourdata · 23,679
#85
Чёрный Треугольник
@black_triangle_tg · 63,962
#86
Мобильная разработка
@mobi_dev · 13,002
#87
Минцифры России
@mintsifry · 232,434
#88
Время Валеры
@cryptovalerii · 32,080
#89
Тесты по Python
@pythontesti · 3,626
#90
NOP::Humor
@nophumor · 7,513
#91

Read from Telegram’s recommendation API, most recently 5 October 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Pythonist.ru - образование по питону
@pythonist_ru · 23,873
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 17 September 2026
Python Academy
@python_academy · 43,823
Telegram ranks this channel #5 of 87 here — alongside 86 others — read 28 August 2026
Типичный программист
@tproger · 78,009
Telegram ranks this channel #9 of 95 here — alongside 94 others — read 19 August 2026
Senior Python Developer
@seniorpy · 39,134
Telegram ranks this channel #10 of 92 here — alongside 91 others — read 30 August 2026
Однажды в трендах
@trendo · 66,417
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 20 August 2026
Python обучающий
@pythonist24 · 55,221
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 23 August 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 36,972
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 1 September 2026
[404] — программирование
@procode404 · 40,080
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 30 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,463
Telegram ranks this channel #20 of 84 here — alongside 83 others — read 1 September 2026
[PYTHON:TODAY]
@python2day · 63,348
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 21 August 2026
Python Learning
@Python_per_month · 27,870
Telegram ranks this channel #21 of 86 here — alongside 85 others — read 9 September 2026
Простой Python | Программирование
@python_piton_javascript · 123,691
Telegram ranks this channel #27 of 84 here — alongside 83 others — read 13 August 2026
Веб-страница
@tproger_web · 22,155
Telegram ranks this channel #30 of 96 here — alongside 95 others — read 20 September 2026
Python вопросы с собеседований
@python_job_interview · 24,906
Telegram ranks this channel #36 of 90 here — alongside 89 others — read 15 September 2026
Python Hacks
@python_secrets · 40,332
Telegram ranks this channel #36 of 82 here — alongside 81 others — read 30 August 2026
Python Books. Книги по питону
@pythonbooks · 38,321
Telegram ranks this channel #39 of 65 here — alongside 64 others — read 17 September 2026
IT Юмор
@ithumor · 60,047
Telegram ranks this channel #40 of 94 here — alongside 93 others — read 22 August 2026
Python/ django
@pythonl · 58,287
Telegram ranks this channel #41 of 84 here — alongside 83 others — read 22 August 2026
Stepik – онлайн-курсы
@stepik_courses · 28,865
Telegram ranks this channel #51 of 93 here — alongside 92 others — read 16 September 2026
Артём Шумейко
@artemshumeiko · 19,769
Telegram ranks this channel #62 of 92 here — alongside 91 others — read 29 September 2026
NOP::Nuances of Programming
@nuancesprog · 55,956
Telegram ranks this channel #62 of 84 here — alongside 83 others — read 23 August 2026
Python Job | Вакансии | Стажировки
@job_python · 23,452
Telegram ranks this channel #66 of 96 here — alongside 95 others — read 19 September 2026
Поколение Python 🐍
@pygen_ru · 50,348
Telegram ranks this channel #71 of 93 here — alongside 92 others — read 25 August 2026
Диджитализируй!
@t0digital · 28,616
Telegram ranks this channel #75 of 88 here — alongside 87 others — read 9 September 2026

This channel appears in 24 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Zen of Python” (@zen_of_python), 18,630 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/zen_of_python.

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.