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Channel

Python | Программирование

@Python_libr

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

8,848subscribers

-185 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-1001754841893
TypeChannel
Username@Python_libr
DescriptionPython без границ для всех Владелец, реклама @Ak_Mihail Преобрести рекламное размещение: https://telega.in/c/Python_libr
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/Python_libr

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

8,8489,0338,940.56 August 2026 — 9,033 subscribers6 August 2026 — 9,033 subscribers9 August 2026 — 9,028 subscribers12 August 2026 — 9,025 subscribers16 August 2026 — 9,015 subscribers19 August 2026 — 9,010 subscribers22 August 2026 — 9,002 subscribers25 August 2026 — 8,997 subscribers28 August 2026 — 8,987 subscribers30 August 2026 — 8,976 subscribers3 September 2026 — 8,965 subscribers8 September 2026 — 8,957 subscribers12 September 2026 — 8,947 subscribers15 September 2026 — 8,948 subscribers25 September 2026 — 8,938 subscribers5 October 2026 — 8,919 subscribers11 October 2026 — 8,897 subscribers14 October 2026 — 8,889 subscribers18 October 2026 — 8,882 subscribers20 October 2026 — 8,874 subscribers23 October 2026 — 8,871 subscribers26 October 2026 — 8,869 subscribers29 October 2026 — 8,859 subscribers5 November 2026 — 8,852 subscribers8 November 2026 — 8,848 subscribers6 August 20268 November 2026
25 measurements spanning 94 days, net -185. 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 8,820–9,061 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
8 Nov 2026, 15:488,848-4
5 Nov 2026, 02:018,852-7
29 Oct 2026, 21:408,859-10
26 Oct 2026, 11:018,869-2
23 Oct 2026, 19:478,871-3
20 Oct 2026, 20:578,874-8
18 Oct 2026, 05:378,882-7
14 Oct 2026, 23:088,889-8
11 Oct 2026, 21:558,897-22
5 Oct 2026, 01:388,919-19
25 Sept 2026, 19:388,938-10
15 Sept 2026, 10:378,948+1
12 Sept 2026, 06:008,947-10
8 Sept 2026, 04:588,957-8
3 Sept 2026, 00:148,965-11
30 Aug 2026, 23:548,976-11
28 Aug 2026, 00:568,987-10
25 Aug 2026, 05:238,997-5
22 Aug 2026, 12:189,002-8
19 Aug 2026, 09:459,010first reading

Engagement

81 posts held, back to 23 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.29%
avg views ÷ 8,848 subscribers
Avg views / post
468
27 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
27
of 81 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held81 (23 July 2026 – 10 November 2026)
Views total12,637
Reactions total191
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:33 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
≈2,600
Videos
≈7
Links
≈2,160

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.

Video runtime
4s
Average length
4s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

518 reactions across 81 posts, in 8 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤34266.0%
👍9418.1%
🔥6212.0%
⚡71.35%
👎61.16%
👌50.965%
😁10.193%
🤔10.193%

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 81 of the 81 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 518 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 23 July 2026 to 10 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.

Advertising

Ad load
1.23%
1 of 81 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
385
over 1 measured post
Median views · rest
549
over 80 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqv9yUHR125 August 202625 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 81 most recent posts we hold, published 23 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 27 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).

10 Nov 2026, 16:59 UTC176 views2 reactionsread 11 November 2026
Photo

Полная шпаргалка по Python • Эта шпаргалка содержит всю необходимую информацию для всех уровней разработки. 🧩 Смотреть шпаргалку #Шпаргалка

❤2

10 Nov 2026, 14:59 UTC225 views1 reactionsread 11 November 2026
Photo

🔴В 2025 году Россияне заработали 5,3 млрд рублей на арбитраже криптовалют По данным Минфин 32% граждан покинули своё место работы поскольку в среднем уже в первый месяц смогли заработать 250 000 рублей, а через 2-3 месяца с легкостью вышли на семизначные числа. Самое смешное, что лишь 8% россиян что-то слышали об этой профессии хотя все инструкции бесплатно лежат на канале Арбитраж Криптовалют Там объясняют, как и…

❤1

10 Nov 2026, 06:43 UTC273 views1 reactionsread 11 November 2026
Photo

📌 Форматирование параграфа, модуль textwrap • Функция textwrap.fill() принимает текст в качестве входных данных и возвращает отформатированный текст. • Текст выравнивается по левому краю, первая строка сохраняет свой отступ, а пробелы в начале каждой последующей строки вставляются в абзац. 📕 Документация #урок

❤1

9 Nov 2026, 15:02 UTC325 views3 reactionsread 11 November 2026
Photo

📌 Фабрика колбэков Передавать данные в Inline-кнопки как строки — не удобно. Данные тяжело считывается, код тяжело читается. Для решения проблемы есть класс CallbackData, с его помощью создаётся класс, который самостоятельно составляет строку и обрабатывает её. Программисту остаётся работать только с объектом. Код #урок #aiogram

❤2👍1

9 Nov 2026, 08:55 UTC339 views5 reactionsread 11 November 2026
Photo

Дорожная карта по Python • Полезная дорожная карта, которая пригодится начинающим Python-разработчикам и поможет определиться в дальнейшем развитии. #Roadmap

🔥4😁1

6 Nov 2026, 16:58 UTC444 views9 reactionsread 11 November 2026
Photo

📌 Кнопки Есть два вида кнопок: • Обычные кнопки — появляются внизу в виде клавиатуры. Просто отправляют сообщение, выбранное пользователем, хотя могут также по нажатию запрашивать аккаунт, геолокацию или создать опрос. • Инлайн-кнопки — появляются по сообщениями. Могут пересылать людей на определённый URL, отправлять сообщения с данными боту и т.д. Код #урок #aiogram

❤6👍3

5 Nov 2026, 15:04 UTC481 views7 reactionsread 11 November 2026
Photo

🧩 Гайд по магическим методам в Python • Магические методы в языке программирования Python нужны, чтобы реализовывать свойства объектов при их взаимодействии. • В статье раскроем их «магию» и остановимся на каждом из методов подробно. 🧷 https://tproger.ru/articles/gajd-po-magicheskim-metodam-v-python/ #Статья

❤5👍2

5 Nov 2026, 10:02 UTC469 views11 reactionsread 11 November 2026
Photo

📌 Форматирование сообщений Telegram поддерживает два типа форматирования: HTML и MarkdownV2. Есть ещё Markdown, но он уже устарел. HTML — форматирование с помощью тегов. Если пользователь отправит <b>Этот тест будет жирным<b>, чтобы не применять форматирование, нужно использовать html.quote(). MarkdownV2 — форматирование с помощью спецсимволов: __underline__, bold text, link on MarkdownV2. Предпочтительный исполь…

❤5👌3👍3

3 Nov 2026, 11:02 UTC474 views9 reactionsread 11 November 2026
Photo

🧩 Быстро и просто разворачиваем приложение на Selenium Python в Docker • Selenium — это инструмент, созданный для автоматизации работы браузера. Он имеет довольно длинную историю, но несмотря на это на данный момент он является главным инструментом, если нужно прибегнуть к автоматизации браузера. • Но у некоторых может возникнуть проблема с развертыванием кода, использующего этот инструмент, на сервере. На самом де…

❤6👍3

3 Nov 2026, 07:29 UTC437 views10 reactionsread 11 November 2026
Photo

🧩 Как создать собственные Python-декораторы и правильно их использовать • Статья рассчитана на тех, кто владеет основами Python, знаком с декораторами и хочет научиться создавать собственные декораторы для повышения качества кода. 🧷 https://tproger.ru/articles/kak-sozdat-sobstvennye-python-dekoratory-i-pravilno-ih-ispolzovat/ #Статья

❤6👍3👎1

2 Nov 2026, 15:05 UTC491 views9 reactionsread 11 November 2026
Photo

📌 Типы обработчики (handlers) Функции которые обрабатывают сообщения — обработчики. Они принимает определённый тип сообщений и работают с ними. Бот может принимать все обновления, сообщения, событие о редактировании сообщения, ответа на опрос. Весь список событий тут. #урок #aiogram

❤5🔥3👍1

Showing the 12 most recent of 81 posts we hold for @Python_libr. 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 16 posts on @Python_libr 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
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
4

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

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 Learning
@Python_per_month · 27,870
Telegram ranks this channel #13 of 86 here — alongside 85 others — read 9 September 2026
Python обучающий
@pythonist24 · 55,221
Telegram ranks this channel #13 of 88 here — alongside 87 others — read 23 August 2026
Pythonist.ru - образование по питону
@pythonist_ru · 23,873
Telegram ranks this channel #14 of 82 here — alongside 81 others — read 17 September 2026
Python и 1000 уязвимостей
@osint_pythons · 36,463
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 1 September 2026
Однажды в трендах
@trendo · 66,431
Telegram ranks this channel #18 of 90 here — alongside 89 others — read 20 August 2026
Python Academy
@python_academy · 43,823
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 28 August 2026
Senior Python Developer
@seniorpy · 39,134
Telegram ranks this channel #23 of 92 here — alongside 91 others — read 30 August 2026
Простой Python | Программирование
@python_piton_javascript · 123,691
Telegram ranks this channel #28 of 84 here — alongside 83 others — read 13 August 2026
Zen of Python
@zen_of_python · 18,645
Telegram ranks this channel #37 of 91 here — alongside 90 others — read 5 October 2026
Книжное хранилище
@knijnoe_xranilishe · 19,509
Telegram ranks this channel #37 of 73 here — alongside 72 others — read 30 September 2026
Поколение Python 🐍
@pygen_ru · 50,348
Telegram ranks this channel #40 of 93 here — alongside 92 others — read 25 August 2026
Python Hacks
@python_secrets · 40,332
Telegram ranks this channel #42 of 82 here — alongside 81 others — read 30 August 2026
Полка Разработчика
@developer_shelf · 26,715
Telegram ranks this channel #47 of 63 here — alongside 62 others — read 11 September 2026
Python Books. Книги по питону
@pythonbooks · 38,331
Telegram ranks this channel #50 of 65 here — alongside 64 others — read 17 September 2026
[PYTHON:TODAY]
@python2day · 63,348
Telegram ranks this channel #50 of 91 here — alongside 90 others — read 21 August 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,012
Telegram ranks this channel #56 of 82 here — alongside 81 others — read 7 September 2026
Python/ django
@pythonl · 58,287
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 22 August 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 36,972
Telegram ranks this channel #61 of 84 here — alongside 83 others — read 1 September 2026

This channel appears in 18 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Python | Программирование” (@Python_libr), 8,848 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/Python_libr.

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.