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Channel
Data Science Books
@dsbooksru
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,325subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001837789087 |
|---|---|
| Type | Channel |
| Username | @dsbooksru |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 13 August 2026 |
| On Telegram | t.me/dsbooksru |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 16:22 | 4,325 | -2 |
| 7 Aug 2026, 19:50 | 4,327 | +1 |
| 7 Aug 2026, 09:46 | 4,326 | first reading |
Engagement
20 posts held, back to 11 February 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 5 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.7%
- avg views ÷ 4,325 subscribers
- Avg views / post
- 678
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (11 February 2026 – 6 August 2026) |
| Views total | 1,356 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 11:47 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.
Reaction mix
41 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 53.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 53.7% | |
| 👍 | 11 | 26.8% | |
| 👎 | 4 | 9.76% | |
| 🔥 | 3 | 7.32% | |
| 👏 | 1 | 2.44% |
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 15 of the 20 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 41reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 11 February 2026 to 6 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
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…
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На Stepik вышел курс — «RAG-системы на векторных базах данных». RAG нельзя оценивать по ощущению: «вроде отвечает нормально». Нужны тестовые вопросы, метрики retrieval, контроль порога «не знаю» и понимание, где система теряет релевантные документы. В курсе разбираем: - Qdrant, Weaviate, FAISS - эмбеддинги и чанкинг - HNSW, IVF-PQ и индексы для скорости/памяти - hybrid search: ANN + BM25 - Recall@K, Precision@K, …
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Foundations of Data Science with Python Автор: John M. Shea Год издания: 2024 #python #ds #en Скачать книгу
❗️ Финансовая модель нестабильна? Возможно, проблема в признаках Модель обучается, но результаты нестабильны? Метрики скачут, признаки мешают друг другу, а причина неочевидна. Часто проблема скрыта в данных: корреляция и мультиколлинеарность искажают результат. 🦾 На открытом уроке разберём, как выявлять зависимые признаки и работать с размерностью данных. Покажем, как применять метод анализа главных компонент (PCA)…
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🚨 Откликаешься на всё подряд, но собесов нет? Третий месяц рассылаешь резюме на ML/DS вакансии. На hh, на Хабре, везде. В ответ тишина, даже до собеседования не доходишь. А на редкие, которые всё-таки случаются, приходишь и валишься на технике. Знакомо? Я Богдан, ML-инженер с 6+ годами опыта. Веду канал «Раскатываем ML кабины». Честно разбираю собесы, рынок и реальные кейсы учеников. Например, недавно расписал кей…
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5 обязательных по SQL книг 1️⃣ “SQL: быстрое погружение”. Автор - Уолтер Шилдс Эта книга поожет вам разобраться как в основах SQL, так и в расширенных возможностях этого языка. Читатели, уже имеющие опыт работы с SQL, могут пользоваться книгой Шилдса как справочником. 🔴 Скачать 2️⃣ “MySQL Cookbook”. Авторы - Света Смирнова, Алкин Тезуйсал Книга пригодится всем, кто работает с MySQL как в личных проектах, так и …
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Showing the 12 most recent of 20 posts we hold for @dsbooksru. 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
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Data Science Books” (@dsbooksru), 4,325 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dsbooksru.
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.