Telegram RegisterThe public register of Telegram
Telegram profile photo for Книги по Python. Книги по программированию на Python

Channel

Книги по Python. Книги по программированию на Python

@pythonbooksarchive

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,030subscribers

-24 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-1001420063647
TypeChannel
Username@pythonbooksarchive
DescriptionКниги по Python. Год издания книг 2017 и раньше. Скачивайте и становитесь умнее @anothertechrock Регистрация в перечне РКН: https://kurl.ru/ibuNd
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live20 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/pythonbooksarchive

Growth

9,0309,0549,0426 August 2026 — 9,054 subscribers7 August 2026 — 9,054 subscribers10 August 2026 — 9,049 subscribers13 August 2026 — 9,040 subscribers17 August 2026 — 9,034 subscribers20 August 2026 — 9,030 subscribers6 August 202620 August 2026
6 measurements spanning 14 days, net -24. 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 9,026–9,058 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 16:239,030-4
17 Aug 2026, 09:379,034-6
13 Aug 2026, 13:479,040-9
10 Aug 2026, 17:319,049-5
7 Aug 2026, 08:379,054no change
6 Aug 2026, 16:349,054first reading

Engagement

25 posts held, back to 2 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.00%
avg views ÷ 9,030 subscribers
Avg views / post
722
6 posts measured
Reaction rate
0.111%
reactions ÷ views · ER floor
Posts in window
6
of 25 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 2 of 6 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 21 August 2026
Posts held25 (2 June 202621 August 2026)
Views total4,334
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Aug 2026, 08:49 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
157
Links
181

Lifetime counters from Telegram’s own channel header, read 23 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍375.0%
🔥125.0%

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 3 of the 25 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 2 June 2026 to 21 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.

Recent posts

17 Aug 2026, 13:21 UTC627 viewsread 23 August 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, 09:34 UTC819 viewsread 23 August 2026

сайт, который помогает пройти ATS фильтр и улучшить ваше IT-резюме UpdateCV.me Сервис для создания и улучшения IT-резюме, анализа его структуры и ATS-совместимости, сравнения с конкретной вакансией и адаптации под требования работодателя. Можно загрузить готовое резюме или создать новое с помощью ИИ. Рекомендации только по делу в формате было-стало, пользователь сам решает, какие изменения принять.

12 Aug 2026, 22:21 UTC759 viewsread 23 August 2026
Photo

PyCharm: Профессиональная работа на Python Автор: Брюс М. Год издания: 2024 #python #pycharm #ru Скачать книгу

11 Aug 2026, 13:09 UTC764 views1 reactionsread 23 August 2026
Photo

Python. Системный анализ данных, расчеты и моделирование Автор: Сунднес Йоаким Год издания: 2025 #python #ds #ru Скачать книгу

👍1

6 Aug 2026, 07:56 UTC≈1,030 views1 reactionsread 23 August 2026
Photo

PythonBooks - самый большой 38.000+ и старый c 2017 года канал для скачивания Python книг в PDF формате. Что в канале: 6️⃣ Книги по питону, которые помогут вам пройти собеседование на позицию Python Developer. 2️⃣ Все книги в PDF формате 3️⃣ Все книги можно скачать в 2 клика 4️⃣ Всё, никакой другой воды. Подписывайтесь и качайте книги: @pythonbooks

🔥1

24 Jul 2026, 09:58 UTC≈1,880 viewsread 23 August 2026
Photo

Обработка естественного языка. Python и spaCy на практике Автор: Васильев Юлий Год издания: 2021 #python #spacy #ru Скачать книгу

17 Jul 2026, 10:54 UTC≈1,920 viewsread 23 August 2026
Photo

Оффер редко приходит сам. Обычно между «без работы» и «оффер получен» стоят десятки откликов, доработок резюме и часов поиска. Talanto.work помогает пройти этот путь быстрее: 🟠 50 000+ IT-вакансий с разных сайтов 🟠 Telegram-бот с уведомлениями по вашим фильтрам 🟠 Проверка резюме и рекомендации по улучшению 🟠 Проверка соответствия резюме конкретной вакансии 🟠 Генератор персональных сопроводительных писем А в кан

15 Jul 2026, 09:02 UTC≈1,220 viewsread 23 August 2026

45 проектов на Python Автор: Доган Ибрагим Год издания: 2020 #python #ru Скачать книгу

13 Jul 2026, 09:21 UTC≈1,250 viewsread 23 August 2026
Photo

PHP Работа - канал с вакансиями по PHP. Каждый день новые актуальные вакансий. Уровень вакансий: Junior, Middle, Senior. Больше нечего сказать - если в поиске, то переходи @rabotaphp

13 Jul 2026, 09:14 UTC≈1,070 views2 reactionsread 23 August 2026
Photo

Глубокое обучение с fastai и PyTorch Автор: Ховард Джереми Год издания: 2022 #python #pytorch #fastai #ru Скачать книгу

👍2

3 Jul 2026, 20:57 UTC≈1,760 viewsread 23 August 2026
Photo

Анализ данных с помощью GenAI и Python Автор: Артур Гуджа Год издания: 2026 #python #ai #ds #ru Скачать книгу

Showing the 12 most recent of 25 posts we hold for @pythonbooksarchive. 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

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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“Книги по Python. Книги по программированию на Python” (@pythonbooksarchive), 9,030 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/pythonbooksarchive.

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.