Telegram RegisterThe public register of Telegram

Channel

Программирование | книги

@it_boooks

On this record: Growth · Engagement · What this channel posts · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

47,442subscribers

+20 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001305140758
TypeChannel
Username@it_boooks
DescriptionДля программистов разных областей науки. Навигация по тегам всегда в закрепе. Чат канала: https://t.me/+GBl0ISybbi00NGYy По всем вопросам: @altmainf Регистрация в перечне РКН https://goo.su/PqEImo3
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/it_boooks

Growth

47,42047,44747,433.56 August 2026 — 47,422 subscribers6 August 2026 — 47,422 subscribers7 August 2026 — 47,420 subscribers8 August 2026 — 47,424 subscribers9 August 2026 — 47,437 subscribers10 August 2026 — 47,447 subscribers11 August 2026 — 47,446 subscribers12 August 2026 — 47,442 subscribers47,4426 August 202612 August 2026
8 measurements spanning 6 days, net +20. 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 47,416–47,451 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:4347,442-4
11 Aug 2026, 16:1147,446-1
10 Aug 2026, 13:3647,447+10
9 Aug 2026, 17:0247,437+13
8 Aug 2026, 13:3247,424+4
7 Aug 2026, 16:3347,420-2
6 Aug 2026, 17:3047,422no change
6 Aug 2026, 17:2247,422first reading

Engagement

23 posts held, back to 1 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.7%
avg views ÷ 47,442 subscribers
Avg views / post
7,460
15 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
15
of 23 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 1 of 15 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 12 August 2026
Posts held23 (1 July 202612 August 2026)
Views total111,910
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 08:33 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
2,580
Links
23

Lifetime counters from Telegram’s own channel header, read 13 August 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 23 we hold a reading for · 4%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @it_boooks. 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 23 most recent posts we hold for this entry, published 1 July 2026 to 12 August 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.

Advertising

Ad load
4.35%
1 of 23 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
8,860
over 1 measured post
Median views · rest
8,850
over 22 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
2VtzqvmTpdo18 July 20268 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 23 most recent posts we hold, published 1 July 2026 to 12 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

12 Aug 2026, 15:04 UTC≈2,780 viewsread 13 August 2026
Photo

#Swift 2022 Разработка приложений на Swift и SwiftUI с нуля Автор: Казанский А.А. Рассмотрены принципы протокольно-ориентированного и функционального программирования на языке Swift 5.5 для операционных систем macOS, iOS и iPadOS. Подробно описана среда разработки Xcode 13.1 и SwiftUI. Приведены приемы проектирования и разработки программ для macOS с использованием фреймворка Cocoa, мобильных приложений с помощью

10 Aug 2026, 14:59 UTC≈4,520 viewsread 13 August 2026
Photo

#ИИ 2026 Как работает LLM Автор: А. Сапунов Как на самом деле работают ChatGPT, Claude и другие большие языковые модели? Эта книга объясняет всё с нуля — простым языком, но без упрощений, за которые потом стыдно. Стиль «для чайников» дополнен инженерными вставками для тех, кто хочет глубже: токены и эмбеддинги, механизм внимания, трансформер, обучение, RAG и агенты. К концу вы не только поймёте, что у LLM «под ка

7 Aug 2026, 15:04 UTC≈5,940 viewsread 13 August 2026
Photo

#ПрогрИнженерия 2025 Проектирование информационных систем. Профессиональный подход Автор: В. Туров Рассмотрены подходы и технологии, применяющиеся для проектирования информационных систем и подбора инструментов с учетом развития и поддержки программных продуктов. Эта книга состоит из двух частей: теоретической и практической. Первая часть предоставляет «сухой» обзор подходов и технологий с их положительными и отр

5 Aug 2026, 14:59 UTC≈5,880 views0 reactions2 Starsread 13 August 2026
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#VueJS 2025 Изучаем Vue. Основные концепции и практические паттерны для современных и масштабируемых пользовательских интерфейсов Автор: Майя Шавин Книга посвящена созданию с нуля пользовательских интерфейсов и фронтенд-приложений с помощью Vue.js – современной платформы jаvascript. На практических примерах разработчики поэтапно познакомятся с инструментами и библиотеками экосистемы Vue.js и научатся создавать по

3 Aug 2026, 14:59 UTC≈7,130 viewsread 13 August 2026
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#Робототехника 2026 ROS 2: Программирование интеллектуальных роботов Авторы: Чуньсюй Х., Цяолунь Л. Книга посвящена основным принципам работы с операционной системой для роботов ROS 2 и практике разработки роботов. В ней подробно описаны ключевые концепции, компоненты и инструменты ROS 2 и рассмотрены методы построения симуляционных и реальных робототехнических систем, а также способы применения ROS 2 для задач к

31 Jul 2026, 15:04 UTC≈7,850 viewsread 13 August 2026
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#Python 2026 Python для профи. Интерпретаторы, эмуляторы, графика и машинное обучение Автор: Копек Д. Благодаря семи проектам на Python, представленным в этой книге, вы сможете получить представление о некоторых фундаментальных принципах в области информатики. В каждой главе автор пошагово описывает завершенный проект, раскрывающий один из конкретных аспектов программирования, не прибегая к сложной математике и з

29 Jul 2026, 14:59 UTC≈7,860 viewsread 13 August 2026
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#Python #Математика 2026 Вычислительные методы на Python в 2-х книгах Авторы: А. Н. Лата, С. А. Гутник Учебное пособие представляет собой базовый курс по программированию на Python и предназначено для формирования практических навыков автоматизации вычислений и анализа данных. Книга 1 знакомит с базовыми понятиями, синтаксисом и конструкциями языка, закладывая фундамент алгоритмического мышления. Книга 2 дает пр

28 Jul 2026, 14:59 UTC≈7,970 viewsread 13 August 2026
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#Assembler 2026 Ассемблер для macOS. ARM64 Apple silicon M chip Автор: Ипполитов А. Эта книга – руководство по программированию на ассемблере для macOS. Она раскрывает, как писать эффективный низкоуровневый код, который работает на новых Mac‑устройствах с процессорами Apple Silicon (M chip). Мы рассматриваем архитектуру ARM64, особенности среды macOS (и инструменты разработки). Читатель получит практические приме

28 Jul 2026, 11:54 UTC≈7,070 viewsread 13 August 2026
Photo

ИИ-агенты становятся сложнее, а вместе с ними растёт и нагрузка на PostgreSQL. Горячие обновления данных, очереди задач, история диалогов и работа с JSONB способны быстро превратить производительную систему в источник постоянных задержек. Чтобы этого не произошло, важно понимать внутренние механизмы базы данных. 4 августа в 20:00 МСК приглашаем вас на открытый урок курса «Администрирование PostgreSQL. Экспертный уро

27 Jul 2026, 15:03 UTC≈7,420 viewsread 13 August 2026
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#API 2026 Стили API. Проектирование и внедрение Авторы: Дыновски Л., Дулак М. При разработке современных систем, таких как веб-приложения, микросервисы и IoT-устройства, программный интерфейс (API) необходим для обмена данными. Авторы Лукаш Дыновски и Марцин Дулак делятся с разработчиками и архитекторами ПО опытом проектирования и реализации ключевых типов API: REST, GraphQL, gRPC, веб-хуков, WebSocket и других.

24 Jul 2026, 15:02 UTC≈9,020 viewsread 13 August 2026
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#Математика 2026 Жемчужины геометрии. Окружности, Треугольники, Четырехугольники Авторы: Геретшлегер Р., Позаментье А. С, Планарная геометрия полна чудес, о которых нам почти не рассказывают на уроках в школе. Даже самые обычные геометрические фигуры — треугольник, окружность и четырехугольник — способны удивить нас неожиданными фактами и закономерностями и дать богатую пищу для размышлений. В этих книгах собран

22 Jul 2026, 14:59 UTC≈8,850 viewsread 13 August 2026
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#АнализДанных #DataScience 2026 Думай как аналитик. Статистика и данные с примерами на Python. 3-е изд. Автор: Аллен Дауни Умение писать код — это все, что нужно, чтобы извлекать из данных ценные выводы и находить ответы на сложные вопросы. В этом полностью переработанном издании статистические концепции представлены не в виде громоздких математических формул, а как стройный вычислительный процесс на языке Pytho

Showing the 12 most recent of 23 posts we hold for @it_boooks. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 966,613 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 3 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.

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.

Physics.Math.Code
@physics_lib · 145,853
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 13 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Программирование | книги” (@it_boooks), 47,442 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/it_boooks.

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.