Telegram RegisterThe public register of Telegram
Telegram profile photo for Программирование | книги

Channel

Программирование | книги

@it_boooks

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

47,403subscribers

-19 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 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live30 October 2026
Measurements held53
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.me/it_boooks

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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

47,40347,47747,4406 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 subscribers14 August 2026 — 47,434 subscribers15 August 2026 — 47,410 subscribers16 August 2026 — 47,414 subscribers17 August 2026 — 47,424 subscribers18 August 2026 — 47,430 subscribers19 August 2026 — 47,439 subscribers20 August 2026 — 47,446 subscribers23 August 2026 — 47,438 subscribers25 August 2026 — 47,441 subscribers26 August 2026 — 47,446 subscribers27 August 2026 — 47,443 subscribers28 August 2026 — 47,441 subscribers29 August 2026 — 47,455 subscribers30 August 2026 — 47,437 subscribers31 August 2026 — 47,431 subscribers31 August 2026 — 47,441 subscribers2 September 2026 — 47,446 subscribers5 September 2026 — 47,421 subscribers7 September 2026 — 47,448 subscribers10 September 2026 — 47,446 subscribers12 September 2026 — 47,448 subscribers14 September 2026 — 47,454 subscribers16 September 2026 — 47,462 subscribers18 September 2026 — 47,456 subscribers25 September 2026 — 47,460 subscribers4 October 2026 — 47,455 subscribers8 October 2026 — 47,443 subscribers12 October 2026 — 47,461 subscribers14 October 2026 — 47,472 subscribers15 October 2026 — 47,473 subscribers16 October 2026 — 47,477 subscribers17 October 2026 — 47,465 subscribers18 October 2026 — 47,468 subscribers19 October 2026 — 47,477 subscribers20 October 2026 — 47,473 subscribers21 October 2026 — 47,462 subscribers22 October 2026 — 47,461 subscribers24 October 2026 — 47,457 subscribers25 October 2026 — 47,452 subscribers25 October 2026 — 47,449 subscribers26 October 2026 — 47,450 subscribers27 October 2026 — 47,433 subscribers28 October 2026 — 47,422 subscribers30 October 2026 — 47,411 subscribers30 October 2026 — 47,403 subscribers6 August 202630 October 2026
53 measurements spanning 85 days, net -19. 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 47,392–47,488 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
30 Oct 2026, 23:4847,403-8
30 Oct 2026, 01:5647,411-11
28 Oct 2026, 23:2947,422-11
27 Oct 2026, 22:1647,433-17
26 Oct 2026, 20:1747,450+1
25 Oct 2026, 22:5447,449-3
25 Oct 2026, 01:5647,452-5
24 Oct 2026, 02:0047,457-4
22 Oct 2026, 22:4947,461-1
21 Oct 2026, 21:3147,462-11
20 Oct 2026, 18:0147,473-4
19 Oct 2026, 17:2847,477+9
18 Oct 2026, 16:0547,468+3
17 Oct 2026, 13:5547,465-12
16 Oct 2026, 11:1547,477+4
15 Oct 2026, 14:0947,473+1
14 Oct 2026, 11:0147,472+11
12 Oct 2026, 21:4047,461+18
8 Oct 2026, 11:1947,443-12
4 Oct 2026, 01:3747,455first reading

Engagement

62 posts held, back to 1 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 177 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.0%
avg views ÷ 47,403 subscribers
Avg views / post
7,110
18 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
18
of 62 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 30 October 2026
Posts held62 (1 July 2026 – 30 October 2026)
Views total127,900
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 13:37 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
≈2,610
Links
≈20

Lifetime counters from Telegram’s own channel header, read 31 October 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 62 we hold a reading for · 2%
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 62 most recent posts we hold for this entry, published 1 July 2026 to 30 October 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
1.61%
1 of 62 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
8,880
over 1 measured post
Median views · rest
9,780
over 61 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 62 most recent posts we hold, published 1 July 2026 to 30 October 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

30 Oct 2026, 15:00 UTC≈2,710 viewsread 31 October 2026
Photo

#Raspb_PI 2024 Raspberry Pi 5: Официальное руководство для начинающих Автор: Халфакри Г. Raspberry Pi – это миниатюрный компьютер, обладающий огромным потенциалом. Созданный на базе энергоэффективного настольного процессора, Raspberry Pi предназначен в том числе и для того, чтобы стать вашим помощником в обучении программированию. Данное руководство покажет вам, что работать с Raspberry Pi очень легко и просто! В…

29 Oct 2026, 15:00 UTC≈4,100 viewsread 31 October 2026
Photo

#Паттерны #ИИ 2026 Паттерны проектирования ИИ-интерфейсов. Как создавать креативные и автономные системы Автор: Макфадьен Л. «Паттерны проектирования ИИ-интерфейсов» — это практическое руководство для продуктовых команд и дизайнеров, работающих с большими языковыми моделями и агентными системами. Вы научитесь создавать человекоориентированные ИИ-интерфейсы и минимизировать основные недостатки современных ИИ-сист…

28 Oct 2026, 15:01 UTC≈4,320 viewsread 31 October 2026
Photo

#Django 2025 Django 5 в примерах: Разрабатывайте мощные и надежные веб-приложения на Python с нуля Автор: Меле А. Перед вами 5-е издание бестселлера, в котором показана пошаговая разработка полнофункциональных веб-приложений с аутентификацией, системами управления контентом, обработки платежей, RESTful API и прочими функциональными возможностями. Излагаются основные принципы Django, включая модели, объектно-реляц…

27 Oct 2026, 15:04 UTC≈5,070 viewsread 31 October 2026
Photo

#LLM 2026 Разработка приложений на базе больших языковых моделей Автор: Сухас Пай Книга посвящена практическим аспектам проектирования и разработки приложений на основе больших языковых моделей (LLM). Рассматриваются внутреннее устройство и архитектура трансформеров, методы подготовки данных для обучения и дообучения, а также подходы к адаптации предобученных моделей под конкретные задачи и предметные области. П…

26 Oct 2026, 15:00 UTC≈5,510 viewsread 31 October 2026
Photo

#ДляДетей #Информатика 2025 Цифровые приключения. Как программируют компьютеры Автор: Тулка Т. Благодаря забавным иллюстрациям и увлекательным заданиям эта книга о приключениях маленького робота сделает сложные идеи простыми для понимания. По мере развития сюжета дети овладеют основами программирования и приобретут навыки решения задач с помощью кода. Увлекательное интерактивное приключение пробудит в них интер…

23 Oct 2026, 15:00 UTC≈7,050 viewsread 31 October 2026
Photo

#Робототехника #ComputerVision 2026 Машинное зрение и управление в робототехнике Автор: Корк П. Данная книга представляет собой фундаментальное и исчерпывающее введение в компьютерное зрение и робототехнику. В ней рассмотрен широкий круг тем, включая цветное зрение, передовые методы сегментации, деформацию изображения, стереозрение, оценку местоположения, глубокое обучение, групповую коррекцию и визуальную одоме…

22 Oct 2026, 15:01 UTC≈7,000 viewsread 31 October 2026
Photo

#Python 2026 Простой Python. Современный стиль программирования. 3-е изд Автор: Билл Любанович Живой, остроумный стиль автора превращает чтение в удовольствие. А главное — вы не застрянете в теории. Подробные, практические проекты проведут вас по самым востребованным направлениям: веб-разработка, работа с базами данных, искусственный интеллект, сетевое программирование и не только. Сообщество в 📱 | Канал в 📲

21 Oct 2026, 15:00 UTC≈7,190 viewsread 31 October 2026
Photo

#ИИ #RAG 2026 Построение LLM-агентов с помощью RAG, графов знаний и осмысления Автор: Девлин М. С. В книге детально рассматривается принципиально новая архитектура искусственного интеллекта, когда сети специализированных LLM-агентов координируют действия, рассуждают, осмысляют и оптимизируют себя, достигая результата, недоступного одиночной модели. Вы научитесь создавать кластеры агентов, системы с общей память…

20 Oct 2026, 14:59 UTC≈6,590 viewsread 31 October 2026
Photo

#ОС #ИБ 2026 Защита ядра операционных систем в условиях противодействия Автор: Коркин И. Монография посвящена решению одной из наиболее актуальных проблем информационной безопасности — защите ядра Windows от сложных низкоуровневых угроз. Исследование выполнено в двух взаимосвязанных направлениях: защите памяти ядра от манипуляций со стороны драйверов и обнаружении скрытых гипервизоров, использующих технологию ап…

19 Oct 2026, 15:00 UTC≈6,600 viewsread 31 October 2026
Photo

#Unity 2026 Паттерны проектирования Unity. Популярные шаблоны и лучшие практики создания игр на Unity и C# Автор: Харрисон Ферроне Хотите научиться писать в Unity понятный и простой в сопровождении код для игр? Тогда вы пришли по адресу! Изучение популярных паттернов проектирования Unity позволит использовать весь их потенциал при создании захватывающих проектов. Сообщество в 📱

16 Oct 2026, 15:00 UTC≈8,330 viewsread 31 October 2026
Photo

#Компиляторы 2026 Создание компиляторов: Инженерный подход Авторы: Купер К. Д., Торкзон Л. Эта книга является воплощением авторской философии построения компиляторов, которая сложилась в результате сорока с лишним лет исследований, преподавания и практики. В ней исследуется все пространство проектирования компилятора и уделяется внимание как глубине проблем, так и широте охвата возможных решений. Описываются нек…

14 Oct 2026, 15:04 UTC≈8,730 viewsread 31 October 2026
Photo

#DataEngineering 2026 Инженерия данных. Паттерны проектирования Автор: Бартош Конечны Основополагающая книга по паттернам проектирования систем инженерии данных. Рассматриваются различные шаблоны и рецепты для решения типичных задач в области инженерии данных, организации конвейеров данных, очистки, классификации и отслеживания данных в высоконагруженных системах. Материал сопровождается архитектурными диаграмма…

Showing the 12 most recent of 62 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.

Posts edited after publishing

@it_boooks edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
12 October 2026

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.

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.

Книжное хранилище
@knijnoe_xranilishe · 19,533
Telegram ranks this channel #3 of 73 here — alongside 72 others — read 30 September 2026
Полка Разработчика
@developer_shelf · 26,749
Telegram ranks this channel #3 of 63 here — alongside 62 others — read 11 September 2026
Linux для чайника
@os_linux_ru · 19,552
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 1 October 2026
Porscode | CMD
@porscode_tg · 28,164
Telegram ranks this channel #9 of 77 here — alongside 76 others — read 9 September 2026
hahacker_news
@hahacker_news · 25,296
Telegram ranks this channel #12 of 59 here — alongside 58 others — read 14 September 2026
Physics.Math.Code
@physics_lib · 146,764
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 13 August 2026
Учебные фильмы 🎞
@maths_lib · 25,568
Telegram ranks this channel #17 of 67 here — alongside 66 others — read 14 September 2026
Python Books. Книги по питону
@pythonbooks · 38,379
Telegram ranks this channel #18 of 65 here — alongside 64 others — read 17 September 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,070
Telegram ranks this channel #21 of 82 here — alongside 81 others — read 7 September 2026
Pythonist.ru - образование по питону
@pythonist_ru · 23,910
Telegram ranks this channel #33 of 82 here — alongside 81 others — read 17 September 2026
Библиотека программиста
@proglibrary · 77,762
Telegram ranks this channel #33 of 82 here — alongside 81 others — read 19 August 2026
Java библиотека
@javalib · 30,433
Telegram ranks this channel #46 of 84 here — alongside 83 others — read 7 September 2026
Терабит: айти технологии
@tbite · 27,992
Telegram ranks this channel #55 of 85 here — alongside 84 others — read 9 September 2026
Python Learning
@Python_per_month · 27,940
Telegram ranks this channel #74 of 86 here — alongside 85 others — read 9 September 2026
Секреты сисадмина | DevOps, Linux, SRE
@sysadmin_library · 25,776
Telegram ranks this channel #81 of 85 here — alongside 84 others — read 13 September 2026

This channel appears in 15 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 30 October 2026 — this entry's latest reading, not the date you are reading this.

“Программирование | книги” (@it_boooks), 47,403 subscribers as measured 30 October 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.