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Channel

Что почитать айтишнику? Архив книг. Библиотека программиста.

@booksql

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

8,364subscribers

-9 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-1001923102495
TypeChannel
Username@booksql
DescriptionЧто почитать айтишнику? Интересны: Python, Java, Javascript, Go, PHP, C++, C#, Rust Читайте у нас по рекламе: @jannytg
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/booksql

Growth

8,3648,3738,368.56 August 2026 — 8,373 subscribers6 August 2026 — 8,373 subscribers9 August 2026 — 8,371 subscribers12 August 2026 — 8,364 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -9. 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 8,363–8,374 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:128,364-7
9 Aug 2026, 08:028,371-2
6 Aug 2026, 15:038,373no change
6 Aug 2026, 06:478,373first reading

Engagement

21 posts held, back to 27 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.2%
avg views ÷ 8,364 subscribers
Avg views / post
1,770
6 posts measured
Reaction rate
0.023%
reactions ÷ views · ER floor
Posts in window
6
of 21 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 10 August 2026
Posts held21 (27 April 202610 August 2026)
Views total10,643
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:28 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
47
Links
65

Lifetime counters from Telegram’s own channel header, read 12 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

21 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
733.3%
👍628.6%
👎523.8%
💩29.52%
🔥14.76%

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 12 of the 21 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 27 April 2026 to 10 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

6 Aug 2026, 07:56 UTC≈1,260 viewsread 12 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

24 Jul 2026, 09:51 UTC≈2,650 views1 reactionsread 12 August 2026
Photo

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

👎1

17 Jul 2026, 09:58 UTC≈2,710 viewsread 12 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

16 Jul 2026, 09:48 UTC≈1,740 viewsread 12 August 2026
Photo

Python. Pandas на практике Автор: Реувен Лернер Год издания: 2025 #python #ru Скачать книгу

15 Jul 2026, 09:06 UTC≈1,640 views0 reactionsread 12 August 2026

ТОП-10 Telegram-каналов с вакансиями по конкретным IT- направлениям — выбирай то, что подходит именно тебе 👇 🐞 Если ты в тестировании / QA Вакансии для ручных и авто-тестировщиков, стажировки: — Работа для тестировщиков. Вакансии — QA Вакансии — Job for Tester 🐍 Если учишься / работаешь с Python Вакансии от джуна до сеньора, pet-проекты и реальные компании: @pythonrabota Java @javaoffers PHP @rabotaphp C# / .NET

13 Jul 2026, 09:16 UTC≈1,590 viewsread 12 August 2026

Python Workout Автор: Reuven M. Lerner Год издания: 2026 #python #en Скачать книгу

3 Jul 2026, 20:57 UTC≈2,890 views2 reactionsread 12 August 2026
Photo

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

2

2 Jul 2026, 10:03 UTC≈2,770 views2 reactionsread 12 August 2026
Photo

Claude Code за месяц стал мощнее. Большинство использует его на 10% Как превратить Claude Code не в помощника для кода, а в автономного агента? Чтобы он сам анализировал проект, писал код, запускал тесты, исправлял ошибки и одновременно вел до 15 задач. То, с чем обычно справляется целая команда разработки. CEO университета Зерокодер Кирилл Пшинник проводит открытый практикум. Собираем вживую: – 15 агентов одновре

👎2

1 Jul 2026, 10:02 UTC≈2,090 views1 reactionsread 12 August 2026
Photo

Программируем на Java Автор: Аарон Плоетц Год издания: 2025 #java #ru Скачать книгу

👍1

30 Jun 2026, 10:35 UTC≈1,850 views2 reactionsread 12 August 2026
Photo

Основы Python Автор: Аллен Б. Дауни Год издания: 2021 #python #ru Скачать книгу

👍1🔥1

25 Jun 2026, 13:55 UTC≈2,350 viewsread 12 August 2026
Photo

🚀 Ищешь работу во frontend-разработке? В канале Javascript Pro публикуются свежие вакансии для начинающих и развивающихся JavaScript-разработчиков. Здесь ты найдёшь: 1. актуальные вакансии и стажировки 2. полезные материалы для подготовки к собеседованию 3. возможности для профессионального роста 4. предложения для frontend-разработчиков разного уровня Не трать время на бесконечный поиск, подходящая вакансия может

Showing the 12 most recent of 21 posts we hold for @booksql. 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.

Citation-graph rank

Citation-graph rank — 72,916 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 5 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.

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

“Что почитать айтишнику? Архив книг. Библиотека программиста.” (@booksql), 8,364 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/booksql.

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.