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Channel

Книги Python

@pythonlib

On this record: Topic · Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry

11,746subscribers

+61 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-1001338271302
TypeChannel
Username@pythonlib
Created15 November 2019 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held33
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/pythonlib

Topic

Education — 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 96% 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 why it has no browse page of its own yet.

Growth

11,68111,74611,713.56 August 2026 — 11,685 subscribers6 August 2026 — 11,685 subscribers6 August 2026 — 11,684 subscribers8 August 2026 — 11,681 subscribers9 August 2026 — 11,687 subscribers10 August 2026 — 11,688 subscribers11 August 2026 — 11,689 subscribers12 August 2026 — 11,694 subscribers13 August 2026 — 11,690 subscribers14 August 2026 — 11,691 subscribers16 August 2026 — 11,694 subscribers17 August 2026 — 11,701 subscribers18 August 2026 — 11,699 subscribers20 August 2026 — 11,694 subscribers21 August 2026 — 11,695 subscribers23 August 2026 — 11,699 subscribers25 August 2026 — 11,703 subscribers27 August 2026 — 11,702 subscribers28 August 2026 — 11,708 subscribers29 August 2026 — 11,710 subscribers30 August 2026 — 11,712 subscribers31 August 2026 — 11,718 subscribers1 September 2026 — 11,715 subscribers2 September 2026 — 11,720 subscribers3 September 2026 — 11,723 subscribers5 September 2026 — 11,717 subscribers8 September 2026 — 11,723 subscribers11 September 2026 — 11,725 subscribers13 September 2026 — 11,723 subscribers15 September 2026 — 11,730 subscribers17 September 2026 — 11,726 subscribers25 September 2026 — 11,738 subscribers4 October 2026 — 11,746 subscribers6 August 20264 October 2026
33 measurements spanning 58 days, net +61. 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 11,671–11,756 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
4 Oct 2026, 00:1711,746+8
25 Sept 2026, 04:1611,738+12
17 Sept 2026, 05:2211,726-4
15 Sept 2026, 07:2111,730+7
13 Sept 2026, 14:1711,723-2
11 Sept 2026, 15:2011,725+2
8 Sept 2026, 23:1511,723+6
5 Sept 2026, 13:2111,717-6
3 Sept 2026, 11:3711,723+3
2 Sept 2026, 06:0411,720+5
1 Sept 2026, 09:1811,715-3
31 Aug 2026, 10:1711,718+6
30 Aug 2026, 07:0611,712+2
29 Aug 2026, 04:5511,710+2
28 Aug 2026, 02:2811,708+6
27 Aug 2026, 00:0411,702-1
25 Aug 2026, 21:3911,703+4
23 Aug 2026, 05:5311,699+4
21 Aug 2026, 16:1211,695+1
20 Aug 2026, 15:3311,694first reading

Engagement

29 posts held, back to 10 June 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 46 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 29 posts for this entry, the most recent from 25 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

78 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 38.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3038.5%
👍1114.1%
👎911.5%
❤‍🔥78.97%
🔥67.69%
🤯67.69%
🙏56.41%
💩33.85%
😁11.28%

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 22 of the 29 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 10 June 2026 to 25 August 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
6.90%
2 of 29 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,030
over 2 measured posts
Median views · rest
1,930
over 27 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
2Vtzqvzu4ao125 August 202625 August 2026
2W5zFG7Z58V115 July 202615 July 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 29 most recent posts we hold, published 10 June 2026 to 25 August 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

25 Aug 2026, 16:04 UTC928 viewsread 3 September 2026
Photo

The Quick Python Book Автор: Ceder Naomi Год издания: 2025 #python #en Скачать книгу

25 Aug 2026, 08:50 UTC≈1,030 views4 reactionsread 3 September 2026
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❤2🔥1🙏1

25 Aug 2026, 05:54 UTC≈1,020 views1 reactionsread 3 September 2026
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Building Quantum Software in Python Автор: Stefanski Charlee Год издания: 2025 #python #en Скачать книгу

🔥1

19 Aug 2026, 13:22 UTC≈1,530 viewsread 3 September 2026

Каналы с книгами по программированию по различным технологиям. Во всех каналах книги можно быстро скачать в 2 клика. Python: https://t.me/pythonbooks - самый большой, полный и старый канал с книгами по Python https://t.me/pythonbooksru - все книги на русском языке QA: https://t.me/libqa Java: https://t.me/booksjava DB+SQL https://t.me/dbbooks FrontEnd: https://t.me/frontendbook https://t.me/frontbooksru - тольк…

13 Aug 2026, 09:12 UTC≈1,810 views2 reactionsread 3 September 2026

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❤1👎1

12 Aug 2026, 15:32 UTC≈1,570 views3 reactionsread 3 September 2026
Photo

Learning Python Автор: Lutz Mark Год издания: 2025 #python #en Скачать книгу

❤3

12 Aug 2026, 08:33 UTC≈1,420 views3 reactionsread 3 September 2026
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🎥 Вебинар: AI-ассистент на ваших документах: почему он врёт и что с этим делать Внедрили AI-ассистента по документам, а он уверенно выдаёт неправду? Без кода и формул разберём, почему так происходит, какие есть рычаги качества и как грамотно ставить задачу команде. 🧠 Что будет разобрано: • Почему AI уверенно выдумывает ответы (простыми словами) • Из чего складывается качество ответа по документам • Какие рычаги под…

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12 Aug 2026, 07:01 UTC≈1,350 views2 reactionsread 3 September 2026
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Python for Mathematics. The Python Series Автор: Knight Vincent Год издания: 2025 #python #math #en Скачать книгу

❤1❤‍🔥1

6 Aug 2026, 13:50 UTC≈1,890 views0 reactionsread 3 September 2026
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Python на примерах Автор: Д. М. Кольцов Год издания: 2023 #python #классика #ru Скачать книгу

6 Aug 2026, 09:01 UTC≈1,760 views2 reactionsread 3 September 2026
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6 Aug 2026, 07:39 UTC≈1,600 viewsread 3 September 2026
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Python Библиотеки Автор: Джейд Картер Год издания: 2024 #python #ru Скачать книгу

24 Jul 2026, 10:00 UTC≈2,230 viewsread 3 September 2026
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Разработка приложений с графическим пользовательским интерфейсом на языке Python Автор: Букунов С. В. Год издания: 2023 #python #ru Скачать книгу

Showing the 12 most recent of 29 posts we hold for @pythonlib. 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.

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.

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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Книги Python” (@pythonlib), 11,746 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/pythonlib.

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.