Channel
@programming_books_it
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
9,052subscribers
-31 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001221484184 |
|---|---|
| Type | Channel |
| Username | @programming_books_it |
| Description | Free Programming books . IT library. Библиотека программиста По всем вопросам- @notxxx1 @ai_machinelearning_big_data - машинное обучение @itchannels_telegram - 🔥лучшие ит-каналы @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml |
| Created | 19 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/programming_books_it |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 11:46 | 9,052 | -9 |
| 13 Aug 2026, 15:48 | 9,061 | -8 |
| 10 Aug 2026, 10:16 | 9,069 | -14 |
| 6 Aug 2026, 19:00 | 9,083 | no change |
| 6 Aug 2026, 18:58 | 9,083 | first reading |
20 posts held, back to 3 January 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 16 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 20 (3 January 2026 – 17 August 2026) |
| Views total | 5,932 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 03:14 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.
Lifetime counters from Telegram’s own channel header, read 18 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.
📚 Бесплатная 700-страничная книга MIT по алгоритмам принятия решений Algorithms for Decision Making - большой учебник про то, как строить системы, которые принимают решения в условиях неопределённости. Книга вышла в MIT Press и доступна в open access. Внутри: * вероятностные модели и неопределённость; * последовательные решения; * planning; * reinforcement learning; * частично наблюдаемые среды; * multi-agent зада…
📚 Отличная подборка материалов по современному C++ На Modernes C++ собрали большой структурированный каталог статей по языку - от базовых концепций до сложных тем из современного стандарта. Что есть внутри: - templates и metaprogramming; - concurrency и multithreading; - smart pointers и управление ресурсами; - ranges, concepts и coroutines; - STL и алгоритмы; - memory model; - best practices и типичные ошибки; - …
Бесплатный учебник по математике — 850 страниц. «The Rising Sea: Foundations of Algebraic Geometry» Рави Вакила. Книга предлагает подробное введение в алгебраическую геометрию и множество упражнений, позволяющих учиться на практике. Требуется минимум предварительных знаний: необходимые инструменты вводятся по ходу материала — от теории категорий и пучков до коммутативной и гомологической алгебры. Подход построен …
Rust, который наконец становится понятным 🦀 Давно хочешь выучить Rust, но ownership, borrowing и lifetimes выглядят как отдельный вид боли? Этот курс проведёт тебя с самого начала до уровня, где ты уже пишешь реальные системные и сетевые программы. Ты разберёшь: Ownership → Borrowing → ошибки → коллекции → Generics → Traits → модули → тесты → сетевой код Никакого бесконечного чтения документации. После каждого ур…
Бесплатный учебник по геометрии на целый университетский курс 📐 Euclidean Plane and its Relatives Антона Петрунина, профессора Penn State, можно легально скачать бесплатно. Книга рассчитана примерно на один семестр и строит геометрию строго через определения, аксиомы и доказательства. Внутри: евклидова геометрия: треугольники, подобие, параллельность; инверсивная геометрия; гиперболическая и нейтральная геометрия;…
698 страниц математики, которые учат не считать, а думать Есть бесплатный PDF-учебник Everything You Always Wanted To Know About Mathematics — большой гид по абстрактной математике, теоремам и написанию доказательств. Это не очередной сборник формул, а вход в настоящий математический язык: * что такое доказательство * как читать и писать математические тексты * логика и множества * индукция * абстрактное мышление …
🔥 Хочешь быстрее расти в IT? Хватит учиться в одиночку В IT прокачивается тот, кто каждый день видит сильные идеи, новые инструменты, реальные задачи, вакансии и разборы. Окружение решает больше, чем кажется. Собрал папки и каналы, где можно быстрее влиться в нужное направление, следить за трендами и не вариться в своём пузыре. AI: t.me/ai_machinelearning_big_data Python: t.me/pythonl Linux: t.me/linuxacademiya Х…
🗺️ Полный роадмап C++ 2026 — от нуля до профессионала Это не просто список тем, а пошаговый маршрут превращения новичка в профессионального C++-разработчика. Каждый уровень даёт не только перечень концепций, но и рабочие примеры кода с пояснениями «как правильно» и «как неправильно», чтобы вы сразу видели идиоматичный современный C++, а не устаревшие практики из учебников 2000-х годов. Роадмап построен по принципу …
Everything You Always Wanted To Know About Mathematics* 📓 book @datascienceiot
A 178 page survey study for refreshing math and generative AI foundations from University of Huddersfield. The Little Book of Generative AI Foundations. 📗 Read @datascienceiot
📓 Пять PDF по оптимизации, которые реально стоит сохранить. Жёсткая база по тому, как код превращается в инструкции, как эти инструкции исполняются процессором и почему иногда «очевидно быстрый» вариант внезапно медленнее. Что внутри: 1. Optimizing software in C++ 179 страниц про оптимизацию C++ под Windows, Linux и macOS. Память, ветвления, компиляторы, SIMD, профилирование и типичные ошибки. 2. Optimizing subro…
🦀 Полный roadmap по изучению Rust на русском + бесплатный курс для начинающих + большой список ресурсов. Rust Roadmap 2026 на русском - пошаговый план изучения Rust для начинающих и продвинутых разработчиков. Что внутри: - базовый синтаксис - ownership, borrowing и lifetimes - Option, Result, traits и generics - тестирование и обработка ошибок - std, smart pointers и многопоточность - async/await и Tokio - macros,…
Showing the 12 most recent of 20 posts we hold for @programming_books_it. 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 — 1,400,339 of 1,549,376entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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.
@programming_books_it named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Books Книги Программиста” (@programming_books_it), 9,052 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/programming_books_it.
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.